Neural network

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For other uses, see Neu= ral=20 network (disambiguation).

Simplified view of a feedforward = artificial=20 neural network

The term neural network was traditionally used to refer to a = network=20 or circuit of biological neurons.^[<=
/SPAN>1]=20 The modern usage of the term often refers to artificia= l neural=20 networks, which are composed of artificial=20 neurons or nodes. Thus the term has two distinct usages:

Biologica= l=20 neural networks are made up of real biological neurons that are = connected=20 or functionally related in a nervous=20 system. In the field of neuroscience,=20 they are often identified as groups of neurons that perform a specific = physiological function in laboratory analysis.
Artificia= l=20 neural networks are composed of interconnecting artificial neurons = (programming constructs that mimic the properties of biological = neurons).=20 Artificial neural networks may either be used to gain an understanding = of=20 biological neural networks, or for solving artificial intelligence = problems=20 without necessarily creating a model of a real biological system. The = real,=20 biological nervous system is highly complex: artificial neural network = algorithms attempt to abstract this complexity and focus on what may=20 hypothetically matter most from an information processing point of = view. Good=20 performance (e.g. as measured by good predictive ability, low = generalization=20 error), or performance mimicking animal or human error patterns, can = then be=20 used as one source of evidence towards supporting the hypothesis that = the=20 abstraction really captured something important from the point of view = of=20 information processing in the brain. Another incentive for these = abstractions=20 is to reduce the amount of computation required to simulate artificial = neural=20 networks, so as to allow one to experiment with larger networks and = train them=20 on larger data sets.

This article focuses on the relationship between the two concepts; = for=20 detailed coverage of the two different concepts refer to the separate = articles:=20 biologica= l=20 neural network and artificia= l=20 neural network.

[edit]=20 Overview

A biological neural network is composed of a group or groups of = chemically=20 connected or functionally associated neurons. A single neuron may be = connected=20 to many other neurons and the total number of neurons and connections in = a=20 network may be extensive. Connections, called synapses, are usually = formed=20 from axons=20 to dendrites,=20 though dendrodendritic microcircuits^[<=
/SPAN>2]=20 and other connections are possible. Apart from the electrical signaling, = there=20 are other forms of signaling that arise from neurotransmitter=20 diffusion, which have an effect on electrical signaling. As such, neural = networks are extremely complex.

Artificial = intelligence and cognitive=20 modeling try to simulate some properties of biological neural = networks.=20 While similar in their techniques, the former has the aim of solving = particular=20 tasks, while the latter aims to build mathematical models of biological = neural=20 systems.

In the artificial = intelligence field, artificial neural networks have been applied=20 successfully to speech=20 recognition, image=20 analysis and adaptive=20 control, in order to construct software = agents (in computer and=20 video games) or autonomous=20 robots. Most of the currently employed artificial neural networks = for=20 artificial intelligence are based on statistical=20 estimations, Classification optimiza= tion=20 and control = theory.

The cognitive=20 modelling field involves the physical or mathematical modeling of = the=20 behavior of neural systems; ranging from the individual neural level = (e.g.=20 modelling the spike response curves of neurons to a stimulus), through = the=20 neural cluster level (e.g. modelling the release and effects of dopamine = in the=20 basal ganglia) to the complete organism (e.g. behavioral modelling of = the=20 organism's response to stimuli). Artificial intelligence, cognitive = modelling,=20 and neural networks are information processing paradigms inspired by the = way=20 biological neural systems process data.

[edit]=20 History of=20 the neural network analogy

Main article: Connectionism

In the brain, spontaneous order appears to arise out of decentralized = networks of simple units (neurons).

Neural network theory has served both to better identify how the = neurons in=20 the brain function and to provide the basis for efforts to create = artificial=20 intelligence. The preliminary theoretical base for contemporary neural = networks=20 was independently proposed by Alexander Bain^[3]=20 (1873) and William James^[4]=20 (1890). In their work, both thoughts and body activity resulted from=20 interactions among neurons within the brain.

For Bain,^[3]=20 every activity led to the firing of a certain set of neurons. When = activities=20 were repeated, the connections between those neurons strengthened. = According to=20 his theory, this repetition was what led to the formation of memory. The = general=20 scientific community at the time was skeptical of Bain=E2=80=99s^[3]=20 theory because it required what appeared to be an inordinate number of = neural=20 connections within the brain. It is now apparent that the brain is = exceedingly=20 complex and that the same brain =E2=80=9Cwiring=E2=80=9D can handle = multiple problems and=20 inputs.

James=E2=80=99s^[4]=20 theory was similar to Bain=E2=80=99s,^[3]=20 however, he suggested that memories and actions resulted from electrical = currents flowing among the neurons in the brain. His model, by focusing = on the=20 flow of electrical currents, did not require individual neural = connections for=20 each memory or action.

C. S. Sherrington^[<=
/SPAN>5]=20 (1898) conducted experiments to test James=E2=80=99s theory. He ran = electrical currents=20 down the spinal cords of rats. However, instead of the demonstrating an = increase=20 in electrical current as projected by James, Sherrington found that the=20 electrical current strength decreased as the testing continued over = time.=20 Importantly, this work led to the discovery of the concept of habituation.

McCullouch and Pitts^[<=
/SPAN>6]=20 (1943) created a computational model for neural networks based on = mathematics=20 and algorithms. They called this model threshold=20 logic. The model paved the way for neural network research to split = into two=20 distinct approaches. One approach focused on biological processes in the = brain=20 and the other focused on the application of neural networks to = artificial=20 intelligence.

In the late 1940s psychologist Donald Hebb^[<=
/SPAN>7]=20 created a hypothesis of learning based on the mechanism of neural = plasticity=20 that is now known as Hebbian=20 learning. Hebbian learning is considered to be a 'typical' unsupervised = learning rule and its later variants were early models for long=20 term potentiation. These ideas started being applied to = computational models=20 in 1948 with Turing's=20 B-type machines.

Farley and Clark^[<=
/SPAN>8]=20 (1954) first used computational machines, then called calculators, to = simulate a=20 Hebbian network at MIT. Other neural network computational machines were = created=20 by Rochester, Holland, Habit, and Duda^[<=
/SPAN>9]=20 (1956).

Rosenblatt^{[<=
/SPAN>10]}=20 (1958) created the perceptron, an algorithm for pattern recognition = based on a=20 two-layer learning computer network using simple addition and = subtraction. With=20 mathematical notation, Rosenblatt also described circuitry not in the = basic=20 perceptron, such as the exclusive-or=20 circuit, a circuit whose mathematical computation could not be processed = until=20 after the backpropogation= =20 algorithm was created by Werbos^[11]=20 (1975).

The perceptron is = essentially a=20 linear=20 classifier for classifying data $3D"$ =20 specified by parameters $3D"w$ =20 and an output function $f =3D=20 w' x + b$ . Its parameters are adapted with an = ad-hoc=20 rule similar to stochastic steepest gradient descent. Because the inner=20 product is a linear=20 operator in the input space, the perceptron can only perfectly = classify a=20 set of data for which different classes are linearly = separable in=20 the input space, while it often fails completely for non-separable data. = While=20 the development of the algorithm initially generated some enthusiasm, = partly=20 because of its apparent relation to biological mechanisms, the later = discovery=20 of this inadequacy caused such models to be abandoned until the = introduction of=20 non-linear models into the field.

Neural network research stagnated after the publication of research = of=20 machine learning research by Minsky and Papert^[=
12]=20 (1969). They discovered two key issues with the computational machines = that=20 processed neural networks. The first issue was that single-layer neural = networks=20 were incapable of processing the exclusive-or circuit. The second = significant=20 issue was that computers were not sophisticated enough to effectively = handle the=20 long run time required by large neural networks. Neural network research = slowed=20 until computers achieved greater processing power. Also key in later = advances=20 was the backpropogation= =20 algorithm which effectively solved the exclusive-or problem (Werbos = 1975).[11]

The cognitron (1975) designed by Kunihiko=20 Fukushima^[13]=20 was an early multilayered neural network with a training algorithm. The = actual=20 structure of the network and the methods used to set the interconnection = weights=20 change from one neural strategy to another, each with its advantages and = disadvantages. Networks can propagate information in one direction only, = or they=20 can bounce back and forth until self-activation at a node occurs and the = network=20 settles on a final state. The ability for bi-directional flow of inputs = between=20 neurons/nodes was produced with the Hopfield's = network (1982),=20 and specialization of these node layers for specific purposes was = introduced=20 through the first hybrid=20 network.

The parallel=20 distributed processing of the mid-1980s became popular under the = name connectionism. = The text by=20 Rummelhart and McClelland^[=
14]=20 (1986) provided a full exposition of the use connectionism in computers = to=20 simulate neural processes.

The rediscovery of the backpropagation= =20 algorithm was probably the main reason behind the repopularisation of = neural=20 networks after the publication of "Learning Internal Representations by = Error=20 Propagation" in 1986 (Though backpropagation itself dates from 1969). = The=20 original network utilized multiple layers of weight-sum units of the = type $f =3D g (w' x +=20 b), where g was a sigmoid = function or logistic = function such=20 as used in logistic=20 regression . Training was done by a form of stochastic gradient = descent . The=20 employment of the chain rule of differentiation in deriving the = appropriate=20 parameter updates results in an algorithm that seems to 'backpropagate = errors',=20 hence the nomenclature. However it is essentially a form of gradient = descent.=20 Determining the optimal parameters in a model of this type is not = trivial, and=20 local numerical=20 optimization methods such as gradient descent can be sensitive to=20 initialization because of the presence of local minima of the training=20 criterion. In recent times, networks with the same architecture as the=20 backpropagation network are referred to as multilayer=20 perceptrons . This name does not impose any limitations on the type = of=20 algorithm used for learning.$

The backpropagation network generated much enthusiasm at the time and = there=20 was much controversy about whether such learning could be implemented in = the=20 brain or not, partly because a mechanism for reverse signaling was not = obvious=20 at the time, but most importantly because there was no plausible source = for the=20 'teaching' or 'target' signal. However, since 2006, several unsupervised = learning procedures have been proposed for neural networks with one or = more=20 layers, using so-called deep=20 learning algorithms. These algorithms can be used to learn = intermediate=20 representations, with or without a target signal, that capture the = salient=20 features of the distribution of sensory signals arriving at each layer = of the=20 neural network.

[edit]=20 The=20 brain, neural networks and computers

Computer=20 simulation of the branching architecture of the dendrites=20 of pyramidal=20 neurons.^[=
15]

Neural networks, as used in artificial intelligence, have = traditionally been=20 viewed as simplified models of neural processing in the brain, even = though the=20 relation between this model and brain biological architecture is = debated, as=20 little is known about how the brain actually works.^{[citation=20
needed]}

A subject of current research in theoretical neuroscience is the = question=20 surrounding the degree of complexity and the properties that individual = neural=20 elements should have to reproduce something resembling animal = intelligence.

Historically, computers evolved from the von = Neumann=20 architecture, which is based on sequential processing and execution = of=20 explicit instructions. On the other hand, the origins of neural networks = are=20 based on efforts to model information processing in biological systems, = which=20 may rely largely on parallel processing as well as implicit instructions = based=20 on recognition of patterns of 'sensory' input from external sources. In = other=20 words, at its very heart a neural network is a complex statistical = processor (as=20 opposed to being tasked to sequentially process and execute).

Neural coding is = concerned=20 with how sensory and other information is represented in the brain by = neurons.=20 The main goal of studying neural coding is to characterize the = relationship=20 between the stimulus = and the individual or ensemble neuronal responses and the relationship = among=20 electrical activity of the neurons in the ensemble.^<=
SPAN>[16]=20 It is thought that neurons can encode both digital=20 and analog = information.[= 17]

[edit]=20 Neural networks and artificial = intelligence

Main article: Artificia= l neural=20 network

A neural network (NN), in the case of artificial neurons = called=20 artificial neural network (ANN) or simulated neural = network (SNN),=20 is an interconnected group of natural or artificial=20 neurons that uses a mathematical=20 or computational model for information = processing based on a connectionistic=20 approach to computation.=20 In most cases an ANN is an adaptive=20 system that changes its structure based on external or internal = information=20 that flows through the network.

In more practical terms neural networks are non-linear statistical data modeling or = decision = making tools.=20 They can be used to model complex relationships between inputs and = outputs or to=20 find=20 patterns in data.

However, the paradigm of neural networks - i.e., implicit, not = explicit , learning is stressed - seems more to correspond = to some=20 kind of natural intelligence than to the traditional symbol-based = Artificial Intelligence, which would stress, instead, rule-based=20 learning.

[edit]=20 Background

An artificia= l=20 neural network involves a network of simple processing elements (artificial=20 neurons) which can exhibit complex global behavior, determined by = the=20 connections between the processing elements and element parameters. = Artificial=20 neurons were first proposed in 1943 by Warren=20 McCulloch, a neurophysiologist, and Walter=20 Pitts, a logician, who first collaborated at the University = of=20 Chicago.^[=
18]

One classical type of artificial neural network is the recurrent Hopfield=20 net.

In a neural network model simple nodes = (which can=20 be called by a number of names, including "neurons", "neurodes", = "Processing=20 Elements" (PE) and "units"), are connected together to form a network of = nodes =E2=80=94=20 hence the term "neural network". While a neural network does not have to = be=20 adaptive per se, its practical use comes with algorithms designed = to=20 alter the strength (weights) of the connections in the network to = produce a=20 desired signal flow.

In modern software=20 implementations of artificial neural networks the approach inspired = by=20 biology has more or less been abandoned for a more practical approach = based on=20 statistics and signal processing. In some of these systems, neural = networks, or=20 parts of neural networks (such as artificial=20 neurons), are used as components in larger systems that combine both = adaptive and non-adaptive elements.

The concept of a neural network appears to have first been proposed = by Alan=20 Turing in his 1948 paper "Intelligent Machinery".

[edit]=20 Applications=20 of natural and of artificial neural networks

The utility of artificial neural network models lies in the fact that = they=20 can be used to infer a function from observations and also to use it.=20 Unsupervised neural networks can also be used to learn representations = of the=20 input that capture the salient characteristics of the input = distribution, e.g.,=20 see the Boltzmann=20 machine (1983), and more recently, deep=20 learning algorithms, which can implicitly learn the distribution = function of=20 the observed data. Learning in neural networks is particularly useful in = applications where the complexity of the data or task makes the design = of such=20 functions by hand impractical.

The tasks to which artificial neural networks are applied tend to = fall within=20 the following broad categories:

Function=20 approximation, or regression=20 analysis, including time = series=20 prediction and modeling.
Classifi= cation,=20 including pattern=20 and sequence recognition, novelty detection and sequential decision=20 making.
Data=20 processing, including filtering, clustering, blind = signal=20 separation and compression.

Application areas of ANNs include system identification and control = (vehicle=20 control, process control), game-playing and decision making (backgammon, = chess,=20 racing), pattern recognition (radar systems, face identification, object = recognition), sequence recognition (gesture, speech, handwritten text=20 recognition), medical diagnosis, financial applications, data mining (or = knowledge=20 discovery in databases, "KDD"), visualization and e-mail spam = filtering.

[edit]=20 Neural networks=20 and neuroscience

Theoretical and computat= ional=20 neuroscience is the field concerned with the theoretical analysis = and=20 computational modeling of biological neural systems. Since neural = systems are=20 intimately related to cognitive processes and behaviour, the field is = closely=20 related to cognitive and behavioural modeling.

The aim of the field is to create models of biological neural systems = in=20 order to understand how biological systems work. To gain this = understanding,=20 neuroscientists strive to make a link between observed biological = processes=20 (data), biologically plausible mechanisms for neural processing and = learning (biologica= l=20 neural network models) and theory (statistical learning theory and = information=20 theory).

[edit]=20 Types of = models

Many models are used in the field, each defined at a different level = of=20 abstraction and trying to model different aspects of neural systems. = They range=20 from models of the short-term behaviour of individual= =20 neurons, through models of how the dynamics of neural circuitry = arise from=20 interactions between individual neurons, to models of how behaviour can = arise=20 from abstract neural modules that represent complete subsystems. These = include=20 models of the long-term and short-term plasticity of neural systems and = its=20 relation to learning and memory, from the individual neuron to the = system=20 level.

[edit]=20 Current = research

This section does not cite = any=20 references = or sources. Please help improve this section by adding = citations=20 to reliable=20 sources. Unsourced material may be challenged= =20 and removed.=20 (June 2010)

While initially research had been concerned mostly with the = electrical=20 characteristics of neurons, a particularly important part of the = investigation=20 in recent years has been the exploration of the role of neuromodulators= such as=20 dopamine,=20 acetylcholine, = and serotonin on=20 behaviour and learning.

Biophysical models, = such as=20 BCM=20 theory, have been important in understanding mechanisms for synaptic = plasticity,=20 and have had applications in both computer science and neuroscience. = Research is=20 ongoing in understanding the computational algorithms used in the brain, = with=20 some recent biological evidence for radial basis = networks and neural=20 backpropagation as mechanisms for processing data.

Computational devices have been created in CMOS for both biophysical=20 simulation and neuromorphic= =20 computing. More recent efforts show promise for creating nanodevices^[=
19]=20 for very large scale principal=20 components analyses and convolution.=20 If successful, these efforts could usher in a new era of neural = computing[= 20]=20 that is a step beyond digital computing, because it depends on learning rather than = programming and = because it=20 is fundamentally analog=20 rather than digital even though = the first=20 instantiations may in fact be with CMOS digital devices.

[edit]=20 Architecture

The basic architecture consists of three types of neuron layers: = input,=20 hidden, and output. In feed-forward networks, the signal flow is from = input to=20 output units, strictly in a feed-forward direction. The data processing = can=20 extend over multiple layers of units, but no feedback connections are = present.=20 Recurrent networks contain feedback connections. Contrary to = feed-forward=20 networks, the dynamical properties of the network are important. In some = cases,=20 the activation values of the units undergo a relaxation process such = that the=20 network will evolve to a stable state in which these activations do not = change=20 anymore.

In other applications, the changes of the activation values of the = output=20 neurons are significant, such that the dynamical behavior constitutes = the output=20 of the network. Other neural network architectures include adaptive = resonance=20 theory maps and competitive networks.

[edit]=20 Criticism

A common criticism of neural networks, particularly in robotics, is = that they=20 require a large diversity of training for real-world operation. This is = not=20 surprising, since any learning machine needs sufficient representative = examples=20 in order to capture the underlying structure that allows it to = generalize to new=20 cases. Dean Pomerleau, in his research presented in the paper = "Knowledge-based=20 Training of Artificial Neural Networks for Autonomous Robot Driving," = uses a=20 neural network to train a robotic vehicle to drive on multiple types of = roads=20 (single lane, multi-lane, dirt, etc.). A large amount of his research is = devoted=20 to (1) extrapolating multiple training scenarios from a single training=20 experience, and (2) preserving past training diversity so that the = system does=20 not become overtrained (if, for example, it is presented with a series = of right=20 turns =E2=80=93 it should not learn to always turn right). These issues = are common in=20 neural networks that must decide from amongst a wide variety of = responses, but=20 can be dealt with in several ways, for example by randomly shuffling the = training examples, by using a numerical optimization algorithm that does = not=20 take too large steps when changing the network connections following an = example,=20 or by grouping examples in so-called mini-batches.

A.=20 K. Dewdney, a former Scientific=20 American columnist, wrote in 1997, "Although neural nets do = solve a few=20 toy problems, their powers of computation are so limited that I am = surprised=20 anyone takes them seriously as a general problem-solving tool." = (Dewdney,=20 p. 82)

Arguments for Dewdney's position are that to implement large and = effective=20 software neural networks, much processing and storage resources need to = be=20 committed. While the brain has hardware tailored to the task of = processing=20 signals through a graph=20 of neurons, simulating even a most simplified form on Von=20 Neumann technology may compel a NN designer to fill many millions of = database rows=20 for its connections - which can consume vast amounts of computer memory and = hard disk=20 space. Furthermore, the designer of NN systems will often need to = simulate the=20 transmission of signals through many of these connections and their = associated=20 neurons - which must often be matched with incredible amounts of CPU = processing power and=20 time. While neural networks often yield effective programs, they = too=20 often do so at the cost of efficiency (they tend to consume = considerable=20 amounts of time and money).

Arguments against Dewdney's position are that neural nets have been=20 successfully used to solve many complex and diverse tasks, ranging from=20 autonomously flying aircraft [2] to detecting credit card fraud [3].

Technology writer Roger=20 Bridgman commented on Dewdney's statements about neural nets:

Neural networks, for instance, are in the dock not only because = they have=20 been hyped to high heaven, (what hasn't?) but also because you could = create a=20 successful net without understanding how it worked: the bunch of = numbers that=20 captures its behaviour would in all probability be "an opaque, = unreadable=20 table...valueless as a scientific resource". In spite of his emphatic=20 declaration that science is not technology, Dewdney seems here to = pillory=20 neural nets as bad science when most of those devising them are just = trying to=20 be good engineers. An unreadable table that a useful machine could = read would=20 still be well worth having.^[=
21]

In response to this kind of criticism, one should note that although = it is=20 true that analyzing what has been learned by an artificial neural = network is=20 difficult, it is much easier to do so than to analyze what has been = learned by a=20 biological neural network. Furthermore, researchers involved in = exploring=20 learning algorithms for neural networks are gradually uncovering generic = principles which allow a learning machine to be successful. For example, = Bengio=20 and LeCun (2007) wrote an article regarding local vs non-local learning, = as well=20 as shallow vs deep architecture [4].

Some other criticisms came from believers of hybrid models (combining = neural=20 networks and symbolic approaches). They advocate the intermix of these = two=20 approaches and believe that hybrid models can better capture the = mechanisms of=20 the human mind (Sun and Bookman 1990).

[edit]=20 See also

ADALINE
20Q is a=20 neural network implementation of the 20 questions game
Artificia= l=20 neural network
Backpropogation=
Biological=20 cybernetics
Bio= logically=20 inspired computing
Cerebellar=20 Model Articulation Controller
Cognitive=20 architecture
Cognitive=20 science
Cultured= =20 neuronal networks
Digital=20 morphogenesis
Exclusive=20 Or
Group= =20 method of data handling
Habituation
In=20 Situ Adaptive Tabulation

Memristor
Neural=20 network software
Neuroscience
Par= allel=20 distributed processing
Predictive=20 analytics
Radia= l=20 basis function network
Recurrent= =20 neural networks
Simulated=20 reality
Support=20 vector machine
Tensor=20 product network
Threshold=20 logic
Time=20 delay neural network
Parallel=20 Constraint Satisfaction = Processes

[edit]=20 References

^= =20 J. J. HOPFIELD Neural networks and physical systems with emergent = collective=20 computational abilities. Proc. NatL Acad. Sci. USA Vol. 79, pp. = 2554-2558,=20 April 1982 Biophysics [1]
^= =20 Arbib, p.666
^ ^a=20 ^b=20 ^c=20 ^d=20 Bain (1873). Mind and Body: The = Theories of=20 Their Relation. New York: D. Appleton and Company.
^ ^a=20 ^b=20 James (1890). The Principles of = Psychology.=20 New York: H. Holt and Company.
^= =20 Sherrington, C.S.. "Experiments in = Examination=20 of the Peripheral Distribution of the Fibers of the Posterior Roots of = Some=20 Spinal Nerves". Proceedings of the Royal Society of London = 190:=20 45=E2=80=93186.
^= =20 McCullock, Warren; Walter Pitts = (1943). "A=20 Logical Calculus of Ideas Immanent in Nervous Activity". Bulletin = of=20 Mathematical Biophysics 5 (4): 115=E2=80=93133. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1007%2FBF02478259" = rel=3D"nofollow">10.1007/BF02478259.
^= =20 Hebb, Donald (1949). The Organization = of=20 Behavior. New York: Wiley.
^= =20 Farley, B; W.A. Clark (1954). = "Simulation of=20 Self-Organizing Systems by Digital Computer". IRE Transactions on=20 Information Theory 4 (4): 76=E2=80=9384. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1109%2FTIT.1954.1057468" = rel=3D"nofollow">10.1109/TIT.1954.1057468.
^= =20 Rochester, N.; J.H. Holland, L.H. = Habit, and=20 W.L. Duda (1956). "Tests on a cell assembly theory of the action of = the brain,=20 using a large digital computer". IRE Transactions on Information = Theory=20 2 (3): 80=E2=80=9393. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1109%2FTIT.1956.1056810" = rel=3D"nofollow">10.1109/TIT.1956.1056810.
^= =20 Rosenblatt, F. (1958). "The = Perceptron: A=20 Probalistic Model For Information Storage And Organization In The = Brain".=20 Psychological Review 65 (6): 386=E2=80=93408. doi:<= A=20 class=3D"external text" href=3D"http://dx.doi.org/10.1037%2Fh0042519" = rel=3D"nofollow">10.1037/h0042519.=20 PMID 13602029.
^ ^a=20 ^b=20 Werbos, P.J. (1975). Beyond = Regression: New=20 Tools for Prediction and Analysis in the Behavioral = Sciences.
^=20 Minsky, M.; S. Papert (1969). An = Introduction=20 to Computational Geometry. MIT Press. = ISBN 0262= 630222.

^= =20 Fukushima, Kunihiko (1975). = "Cognitron: A=20 self-organizing multilayered neural network". Biological = Cybernetics=20 20 (3=E2=80=934): 121=E2=80=93136. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1007%2FBF00342633" = rel=3D"nofollow">10.1007/BF00342633.=20 PMID 1203338.

^=20 Rummelhart, D.E; James McClelland = (1986).=20 Parallel Distributed Processing: Explorations in the Microstructure = of=20 Cognition. Cambridge: MIT Press.

^=20 "PLoS Computational Biology Issue = Image".=20 PLoS Computational Biology 6 (8): ev06.ei08. 2010. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1371%2Fimage.pcbi.v06.i08"=20 rel=3D"nofollow">10.1371/image.pcbi.v06.i08. edit

= ^=20 Brown EN, Kass RE, Mitra PP. (2004). = "Multiple=20 neural spike train data analysis: state-of-the-art and future = challenges".=20 Nature Neuroscience 7 (5): 456=E2=80=9361. doi:<= A=20 class=3D"external text" href=3D"http://dx.doi.org/10.1038%2Fnn1228"=20 rel=3D"nofollow">10.1038/nn1228. PMID 15114358.

^=20 Spike arrival times: A highly efficient coding scheme = for=20 neural networks, SJ Thorpe - Parallel processing in neural = systems,=20 1990

^=20 McCulloch, Warren; Pitts, Walter, "A Logical Calculus of Ideas = Immanent in=20 Nervous Activity", 1943, Bulletin of Mathematical Biophysics = 5:115-133.

^=20 Yang, J. J.; Pickett, M. D.; Li, X. M.; Ohlberg, D. A. A.; Stewart, D. = R.;=20 Williams, R. S. Nat. Nanotechnol. 2008, 3, 429=E2=80=93433.

^=20 Strukov, D. B.; Snider, G. S.; Stewart, D. R.; Williams, R. S. Nature = 2008,=20 453, 80=E2=80=9383.

^=20 Roger Bridgman's defence of neural = networks

This article includes a list of=20 references, related reading or external=20 links, but its sources remain unclear because it lacks inline=20 citations. Please improve=20 this article by introducing more precise citations. = (October=20 2010)

[edit]=20 Further = reading

Arbib, Michael A. (Ed.) (1995). = The=20 Handbook of Brain Theory and Neural Networks.

Alspector, U.S. Patent 4,874,963 "Neuromorphic = learning=20 networks". October 17, 1989.

Agre, Philip E. (1997). = Computation and=20 Human Experience. Cambridge University Press. = ISBN 0= -521-38603-9. , p. 80

Yaneer=20 Bar-Yam (2003). Dynamics of Complex Systems, Chapter = 2.=20 http://necsi.edu/publications/dcs/Bar-YamChap2.pdf.

Yaneer=20 Bar-Yam (2003). Dynamics of Complex Systems, Chapter = 3.=20 http://necsi.edu/publications/dcs/Bar-YamChap3.pdf.

Yaneer=20 Bar-Yam (2005). Making Things Work. http://necsi.edu/publications/mtw/. See chapter 3.

Bertsekas, Dimitri P. (1999). = Nonlinear=20 Programming. = ISBN 1886= 529000.

Bertsekas, Dimitri P. & = Tsitsiklis, John=20 N. (1996). Neuro-dynamic Programming. = ISBN 1886= 529108.

Bhadeshia H. K. D. H. (1992). "Neural=20 Networks in Materials Science". ISIJ International = 39 (10):=20 966=E2=80=93979. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.2355%2Fisijinternational.39.966"=20 rel=3D"nofollow">10.2355/isijinternational.39.966.=20 http://www.msm.cam.ac.uk/phase-trans/abstracts/neural.re= view.pdf.

Boyd, Stephen & Vandenberghe, = Lieven=20 (2004). Convex Optimization. http://www.stanford.edu/~boyd/cvxbook/.

Dewdney, A. K. (1997). Yes, We = Have No=20 Neutrons: An Eye-Opening Tour through the Twists and Turns of Bad = Science.=20 Wiley, 192 pp. = ISBN 0471= 108065. See chapter 5.

Egmont-Petersen, M., de Ridder, = D.,=20 Handels, H. (2002). "Image processing with neural networks - a = review".=20 Pattern Recognition 35 (10): 2279=E2=80=932301. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1016%2FS0031-3203%2801%2900178-9"=20 rel=3D"nofollow">10.1016/S0031-3203(01)00178-9.

Fukushima, K. (1975). "Cognitron: = A=20 Self-Organizing Multilayered Neural Network". Biological = Cybernetics=20 20 (3=E2=80=934): 121=E2=80=93136. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1007%2FBF00342633" = rel=3D"nofollow">10.1007/BF00342633.=20 PMID 1203338.

Frank, Michael J. (2005). = "Dynamic Dopamine=20 Modulation in the Basal Ganglia: A Neurocomputational Account of = Cognitive=20 Deficits in Medicated and Non-medicated Parkinsonism". Journal of = Cognitive=20 Neuroscience 17 (1): 51=E2=80=9372. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1162%2F0898929052880093" = rel=3D"nofollow">10.1162/0898929052880093.=20 PMID 15701239.

Gardner, E.J., & Derrida, B. = (1988).=20 "Optimal storage properties of neural network models". Journal of = Physics=20 a 21: 271=E2=80=93284. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1088%2F0305-4470%2F21%2F1%2F031"=20 rel=3D"nofollow">10.1088/0305-4470/21/1/031.

Hadzibeganovic, Tarik & = Cannas, Sergio=20 A. (2009). "A Tsallis' statistics based neural network model for novel = word=20 learning". Physica A: Statistical Mechanics and its = Applications=20 388 (5): 732=E2=80=93746. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1016%2Fj.physa.2008.10.042"=20 rel=3D"nofollow">10.1016/j.physa.2008.10.042.

Krauth, W., & Mezard, M. = (1989).=20 "Storage capacity of memory with binary couplings". Journal de = Physique=20 50 (20): 3057=E2=80=933066. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1051%2Fjphys%3A0198900500200305700"=20 rel=3D"nofollow">10.1051/jphys:0198900500200305700.

Maass, W., & Markram, H. = (2002). "On the computational power of recurrent circuits of = spiking=20 neurons". Journal of Computer and System Sciences 69 = (4):=20 593=E2=80=93616. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1016%2Fj.jcss.2004.04.001"=20 rel=3D"nofollow">10.1016/j.jcss.2004.04.001. http://www.igi.tugraz.at/maass/publications.html.

MacKay, David (2003). Information=20 Theory, Inference, and Learning Algorithms. http://www.inference.phy.cam.ac.uk/mackay/itprnn/book.ht= ml.

Mandic, D. & Chambers, J. = (2001).=20 Recurrent Neural Networks for Prediction: Architectures, Learning=20 algorithms and Stability. Wiley. = ISBN 0471= 495174.

Minsky, M. & Papert, S. (1969). = An=20 Introduction to Computational Geometry. MIT Press. = ISBN 0262= 630222.

Muller, P. & Insua, D.R. = (1995).=20 "Issues in Bayesian Analysis of Neural Network Models". Neural=20 Computation 10 (3): 571=E2=80=93592. PMID 9527841.

Reilly, D.L., Cooper, L.N. & = Elbaum, C.=20 (1982). "A Neural Model for Category Learning". Biological = Cybernetics=20 45: 35=E2=80=9341. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1007%2FBF00387211" = rel=3D"nofollow">10.1007/BF00387211.

Rosenblatt, F. (1962). Principles = of=20 Neurodynamics. Spartan Books.

Sun, R. & Bookman,L. (eds.) = (1994.).=20 Computational Architectures Integrating Neural and Symbolic = Processes..=20 Kluwer Academic Publishers, Needham, MA..

Sutton, Richard S. & Barto, = Andrew G.=20 (1998). Reinforcement Learning : An = introduction. http://www.cs.ualberta.ca/~sutton/book/the-book.html= .

Van den Bergh, F. Engelbrecht, = AP.=20 Cooperative Learning in Neural Networks using Particle Swarm=20 Optimizers. CIRG 2000.

Wilkes, A.L. & Wade, N.J. = (1997). "Bain=20 on Neural Networks". Brain and Cognition 33 (3): = 295=E2=80=93305. doi:<= A=20 class=3D"external text" = href=3D"http://dx.doi.org/10.1006%2Fbrcg.1997.0869" = rel=3D"nofollow">10.1006/brcg.1997.0869.=20 PMID 9126397.

Wasserman, P.D. (1989). Neural = computing=20 theory and practice. Van Nostrand Reinhold. = ISBN 0442= 207433.

Jeffrey T. Spooner, Manfredi Maggiore, Raul Ord onez, and Kevin M. = Passino, Stable Adaptive Control and Estimation for Nonlinear Systems: = Neural=20 and Fuzzy Approximator Techniques, John Wiley and Sons, NY, 2002.

Peter Dayan, L.F. Abbott. = Theoretical=20 Neuroscience. MIT Press. = ISBN 0262= 041995.

Wulfram Gerstner, Werner Kistler. = Spiking=20 Neuron Models:Single Neurons, Populations, Plasticity. Cambridge=20 University Press. = ISBN 0521= 890799.

Steeb, W-H (2008). The Nonlinear = Workbook:=20 Chaos, Fractals, Neural Networks, Genetic Algorithms, Gene Expression=20 Programming, Support Vector Machine, Wavelets, Hidden Markov Models, = Fuzzy=20 Logic with C++, Java and SymbolicC++ Programs: 4th edition. World=20 Scientific Publishing. = ISBN 9= 81-281-852-9.<= SPAN=20 style=3D"display: none;">

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.mw-help-field-data { padding: 5px 8px 4px; border: 1px solid rgb(93, 201, 244); margin-left: = 20px; display: block; background-color: rgb(214, 243, 255); } .tipsy { padding: 5px 5px 10px; overflow: visible; font-size: 12px; position: = absolute; z-index: 100000; } .tipsy-inner { padding: 5px 8px 4px; border: 1px solid rgb(93, 201, 244); text-align: = left; color: black; max-width: 300px; background-color: rgb(214, 243, = 255); } .tipsy-arrow { background: = url("data:image/gif;base64,R0lGODlhDQANAMQAAPf399bz/9vu9m/O9NXy/8Pm9svp9p= fd+YLW943X9LTn++z093XQ9WnM9OLw9p/c9YTU9InY9/T292DK9Jre+afj+rvq/Nzv9rjk9br= l9cPt/ZLb+GbL9MLs/ZHb+KLh+iH5BAAAAAAALAAAAAANAA0AAAVK4BGMZBkcg2WW1lBEKxkV= AFTFFQQAwkSYhIlgB3hQTJQHEbBodEiaxmIJyHhIGwwVIGEoAgqGZAswIAIIA3mX+CTWOwfHA= d9dtiEAOw=3D=3D") no-repeat left top; width: 13px; height: 13px; = position: absolute; } .tipsy-se .tipsy-arrow { background-position: 0% 100%; right: 10px; bottom: -2px; } .ltr { unicode-bidi: embed; direction: ltr; } #mw-clearyourcache { unicode-bidi: embed; direction: ltr; } #mw-sitecsspreview { unicode-bidi: embed; direction: ltr; } #mw-sitejspreview { unicode-bidi: embed; direction: ltr; } #mw-usercsspreview { unicode-bidi: embed; direction: ltr; } #mw-userjspreview { unicode-bidi: embed; direction: ltr; } .diff-currentversion-title { unicode-bidi: embed; direction: ltr; } .diff { unicode-bidi: embed; direction: ltr; } .diff-contentalign-right td { unicode-bidi: embed; direction: rtl; } .diff-contentalign-left td { unicode-bidi: embed; direction: ltr; } .diff-otitle { unicode-bidi: embed; direction: ltr !important; } .diff-ntitle { unicode-bidi: embed; direction: ltr !important; } .diff-lineno { unicode-bidi: embed; direction: ltr !important; } #mw-revision-info { direction: ltr; } #mw-revision-nav { direction: ltr; } div.tright { clear: right; float: right; } div.floatright { clear: right; float: right; } table.floatright { clear: right; float: right; } div.tleft { clear: left; float: left; } div.floatleft { clear: left; float: left; } table.floatleft { clear: left; float: left; } div.floatright { position: relative; } table.floatright { position: relative; } div.floatleft { position: relative; } table.floatleft { position: relative; } #mw-credits a { unicode-bidi: embed; } html { margin: 0px; padding: 0px; height: 100%; font-family: sans-serif; = font-size: 1em; } body { margin: 0px; padding: 0px; height: 100%; font-family: sans-serif; = font-size: 1em; } body { background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAAAAAA6fptVAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAABRJREFUeF4FwTEBAAAAwJD= 1D+weGQD4APc0a6VeAAAAAElFTkSuQmCC"); background-color: rgb(243, 243, = 243); } div#content { padding: 1em; color: black; margin-left: 10em; direction: ltr; = background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAABhJREFUeF4FwTEBAAAAgjD= 7FzESWfjYdgwEoAJ4lTsaxgAAAABJRU5ErkJggg=3D=3D"); background-repeat: = repeat-y; background-color: white; } #mw-page-base { background-position: left bottom; height: 5em; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAAsCAIAAAArRUU2AA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAADpJREFUeF5VjUkOAEAIwoD= //7lzGJd4MJHGSoBImkFETP67CdLldUd7KC6f8fv3+psd8znbtU5x354HaWQjOx76v7MAAAAA= SUVORK5CYII=3D"); background-repeat: repeat-x; background-color: white; } #mw-head-base { background-position: left bottom; height: 5em; margin-top: -5em; = margin-left: 10em; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAABhJREFUeF4FwTEBAAAAgjD= 7FzESWfjYdgwEoAJ4lTsaxgAAAABJRU5ErkJggg=3D=3D"); background-repeat: = repeat-x; } div#mw-head { top: 0px; width: 100%; right: 0px; position: absolute; } div#mw-head h5 { margin: 0px; padding: 0px; } div.emptyPortlet { display: none; } #p-personal { top: 0px; right: 0.75em; position: absolute; } #p-personal h5 { display: none; } #p-personal ul { list-style: none; margin: 0px; padding-left: 10em; } #p-personal li { line-height: 1.12em; float: left; } #p-personal li { font-size: 0.75em; margin-top: 0.5em; margin-left: 0.75em; white-space: = nowrap; } #left-navigation { left: 10em; top: 2.5em; position: absolute; } #right-navigation { margin-top: 2.5em; float: right; } div.vectorTabs h5 { display: none; } div.vectorMenu h5 span { display: none; } div.vectorTabs { height: 2.5em; float: left; } div.vectorTabs { background-position: left bottom; padding-left: 1px; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAAuCAIAAABmjeQ9AA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAERJREFUeF5lTtEKgEAMMv/= /j/O0IxlH9CA6N2WURAA/OHl5GeWAwUUHBcKV795FtTePxpmV3t9uv8Z3/cmvM88vzbbrAV/d= QdX+eas3AAAAAElFTkSuQmCC"); background-repeat: no-repeat; } div.vectorTabs ul { float: left; } div.vectorTabs ul { list-style: none; margin: 0px; padding: 0px; height: 100%; } div.vectorTabs ul li { float: left; } div.vectorTabs ul li { background-position: left bottom; margin: 0px; padding: 0px; height: = 100%; line-height: 1.12em; display: inline-block; white-space: nowrap; = background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAABkCAIAAADITs03AA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAADxJREFUeF7litsRACAMwrD= 77+Q0rtGoV98r+MEFchhgkr4NnZyb3bk/LM/yMCjiH4wots/++hYR3iXLJVWUBS1AtOi2fwAA= AABJRU5ErkJggg=3D=3D"); background-repeat: repeat-x; background-color: = rgb(243, 243, 243); } div.vectorTabs ul > li { display: block; } div.vectorTabs li.selected { background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAABkAQAAAABvV2fNAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAABVJREFUeF7dwQEBAAAAQCD= TTfdD4WOJ5TIB3ib9EgAAAABJRU5ErkJggg=3D=3D"); } div.vectorTabs li a { height: 1.9em; color: rgb(6, 69, 173); padding-right: 0.5em; = padding-left: 0.5em; font-size: 0.8em; display: inline-block; cursor: = pointer; } div.vectorTabs li > a { display: block; } div.vectorTabs li.icon a { background-position: right bottom; background-repeat: no-repeat; } div.vectorTabs span a { padding-top: 1.25em; display: inline-block; } div.vectorTabs span > a { float: left; display: block; } div.vectorTabs span { background-position: right bottom; display: inline-block; = background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAAuCAIAAABmjeQ9AA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAERJREFUeF5lTtEKgEAMMv/= /j/O0IxlH9CA6N2WURAA/OHl5GeWAwUUHBcKV795FtTePxpmV3t9uv8Z3/cmvM88vzbbrAV/d= QdX+eas3AAAAAElFTkSuQmCC"); background-repeat: no-repeat; } div.vectorTabs li.selected a { color: rgb(51, 51, 51); text-decoration: none; } div.vectorTabs li.selected a:visited { color: rgb(51, 51, 51); text-decoration: none; } div.vectorTabs li.new a { color: rgb(165, 88, 88); } div.vectorTabs li.new a:visited { color: rgb(165, 88, 88); } div.vectorMenu { background-position: 100% 60%; float: left; cursor: pointer; direction: = ltr; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABYAAAAQCAMAAAAlM38UAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAA9QTFRFsbGxmpqa3d3deXl= 58/n79CzHcQAAAAV0Uk5T/////wD7tg5TAAAAMklEQVR42mJgwQoYBkqYiZEZAhiZUFRDxWGi= cEPA4nBRhNlAcYQokpVMDEwD6kuAAAMAyGMFQVv5ldcAAAAASUVORK5CYII=3D"); = background-repeat: no-repeat; } div.vectorMenuFocus { background-position: 100% 60%; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABYAAAAQBAMAAADgw5IVAA= AAAXNSR0IArs4c6QAAABVQTFRFmpqakpKSra2tsbGxv7+/3d3d4+PjZlmM5AAAAAF0Uk5TAED= m2GYAAAAJcEhZcwAACxMAAAsTAQCanBgAAAAmSURBVAjXY2CgGmBTFBQUVINykgQFhRIQEmpw= VUlwYaCEG8WWAgARKQL1ECU8IAAAAABJRU5ErkJggg=3D=3D"); } body.rtl div.vectorMenu { direction: rtl; } div#mw-head div.vectorMenu h5 { float: left; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAAuCAIAAABmjeQ9AA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAERJREFUeF5lTtEKgEAMMv/= /j/O0IxlH9CA6N2WURAA/OHl5GeWAwUUHBcKV795FtTePxpmV3t9uv8Z3/cmvM88vzbbrAV/d= QdX+eas3AAAAAElFTkSuQmCC"); background-repeat: no-repeat; } div#mw-head div.vectorMenu h5 { background-position: left bottom; margin-left: -1px; } div#mw-head div.vectorMenu > h5 { background-image: none; } div#mw-head div.vectorMenu h4 { border: currentColor; padding-top: 1.37em; padding-left: 0.5em; = font-size: 0.8em; font-weight: normal; float: left; display: = inline-block; } div.vectorMenu h5 a { width: 24px; height: 2.5em; text-decoration: none; display: = inline-block; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAAuCAIAAABmjeQ9AA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAERJREFUeF5lTtEKgEAMMv/= /j/O0IxlH9CA6N2WURAA/OHl5GeWAwUUHBcKV795FtTePxpmV3t9uv8Z3/cmvM88vzbbrAV/d= QdX+eas3AAAAAElFTkSuQmCC"); background-repeat: no-repeat; } div.vectorMenu h5 a { background-position: right bottom; } div.vectorMenu h5 > a { display: block; } div.vectorMenu div.menu { text-align: left; clear: both; display: none; position: relative; } body.rtl div.vectorMenu div.menu { margin-left: 24px; } body.rtl div.vectorMenu > div.menu { margin-left: auto; } div.vectorMenu:hover div.menu { display: block; } div.vectorMenu div.menuForceShow { display: block; } div.vectorMenu ul { border-width: 0px 1px 1px; border-style: solid; border-color: silver; = list-style: none; margin: 0px 0px 0px -1px; padding: 0px; text-align: = left; position: absolute; background-color: white; } div.vectorMenu li { margin: 0px; padding: 0px; text-align: left; line-height: 1em; } div.vectorMenu li a { padding: 0.5em; color: rgb(6, 69, 173); font-size: 0.8em; display: = inline-block; white-space: nowrap; cursor: pointer; } div.vectorMenu li > a { display: block; } div.vectorMenu li.selected a { color: rgb(51, 51, 51); text-decoration: none; } div.vectorMenu li.selected a:visited { color: rgb(51, 51, 51); text-decoration: none; } #p-search h5 { display: none; } #p-search { float: left; } #p-search { margin-right: 0.5em; margin-left: 0.5em; } #p-search form { margin: 0.4em 0px 0px; } #p-search input { margin: 0.4em 0px 0px; } div#simpleSearch { border: 1px solid rgb(170, 170, 170); width: 14em; height: 1.4em; = color: black; margin-top: 0.65em; display: block; position: relative; = min-height: 1px; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAAQCAIAAABY/YLgAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAACZJREFUeF5diqERACAQgID= 95/3s+cFg4CDQzASkXl4jidvrCPzfA7puAx52W1pnAAAAAElFTkSuQmCC"); = background-repeat: repeat-x; background-color: white; } div#simpleSearch label { top: 0.25em; font-size: 13px; direction: ltr; } div#simpleSearch input { color: black; direction: ltr; } div#simpleSearch input:focus { =09 } div#simpleSearch input.placeholder { color: rgb(153, 153, 153); } div#simpleSearch input#searchInput { margin: 0px; padding: 0.2em 0px 0.2em 0.2em; border: currentColor; = left: 0px; top: 0px; width: 90%; font-size: 13px; position: absolute; = direction: ltr; background-color: transparent; } div#simpleSearch button#searchButton { margin: 0px; padding: 0.3em 0.4em 0.2em 0px; border: currentColor; top: = 0px; width: 10%; right: 0px; position: absolute; cursor: pointer; = background-image: none; background-color: transparent; } div#simpleSearch button#searchButton img { margin: -3px 0px 0px; padding: 0px; border: currentColor; } div#simpleSearch button#searchButton > img { margin: 0px; } div#mw-panel { left: 0px; top: 160px; width: 10em; padding-top: 1em; position: = absolute; } div#mw-panel div.portal { padding-bottom: 1.5em; direction: ltr; } div#mw-panel div.portal h5 { padding: 0px 0.25em 0.25em 1.75em; border: currentColor; color: rgb(68, = 68, 68); font-size: 0.75em; font-weight: normal; cursor: default; } div#mw-panel div.portal div.body { margin: 0px 0px 0px 1.25em; padding-top: 0.5em; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIwAAAABCAAAAAAphRnkAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAClJREFUeF61yMEJACAQxMC= N/Xfr/yIsaAfOJxC2UTPWS6f5gABhUTedBz7fGPSonIP/AAAAAElFTkSuQmCC"); = background-repeat: no-repeat; } div#mw-panel div.portal div.body ul { list-style: none; margin: 0px; padding: 0px; } div#mw-panel div.portal div.body ul li { margin: 0px; padding: 0px 0px 0.5em; line-height: 1.12em; overflow: = hidden; font-size: 0.75em; } div#mw-panel div.portal div.body ul li a { color: rgb(6, 69, 173); } div#mw-panel div.portal div.body ul li a:visited { color: rgb(11, 0, 128); } div#footer { padding: 0.75em; margin-top: 0px; margin-left: 10em; direction: ltr; = background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAABhJREFUeF4FwTEBAAAAgjD= 7FzESWfjYdgwEoAJ4lTsaxgAAAABJRU5ErkJggg=3D=3D"); background-repeat: = repeat-x; } div#footer ul { list-style: none; margin: 0px; padding: 0px; } div#footer ul li { margin: 0px; padding: 0.5em 0px; color: rgb(51, 51, 51); font-size: = 0.7em; } div#footer #footer-icons { float: right; } body.ltr div#footer #footer-places { float: left; } div#footer #footer-info li { line-height: 1.4em; } div#footer #footer-icons li { text-align: right; line-height: 2em; margin-left: 0.5em; float: left; } div#footer #footer-places li { line-height: 2em; margin-right: 1em; float: left; } #p-logo { left: 0px; top: -160px; width: 10em; height: 160px; position: absolute; } #p-logo a { background-position: center; width: 10em; height: 160px; = text-decoration: none; display: block; background-repeat: no-repeat; } #preftoc { background-position: left bottom; margin: 0px !important; padding: 0px = !important; width: 100%; clear: both; float: left; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAAhCAQAAACysAk0AA= AACXBIWXMAAABIAAAASABGyWs+AAAACXZwQWcAAAABAAAAIQBSEXtPAAAAAmJLR0QA/vCI/Ck= 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li:first-child { margin-left: 1px; } #preftoc a { padding: 0.5em; color: rgb(6, 69, 173); font-size: 0.9em; = text-decoration: none; display: inline-block; position: relative; = background-image: none; } #preftoc a:active { padding: 0.5em; color: rgb(6, 69, 173); font-size: 0.9em; = text-decoration: none; display: inline-block; position: relative; = background-image: none; } #preftoc a:hover { text-decoration: underline; } #preftoc a:focus { text-decoration: underline; } #preftoc li.selected a { background-position: bottom; color: rgb(51, 51, 51); text-decoration: = none; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAAhCAQAAACysAk0AA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAACBJREFUeF5twskJAAAMAjD= 3H7mXfYogCQiQeun68Z2WPk0SQHDa/pxXAAAAAElFTkSuQmCC"); background-repeat: = repeat-x; } #preferences { margin: -2px 0px 0px; border: 1px solid rgb(204, 204, 204); width: = 100%; clear: both; float: left; background-image: = url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAAAAAA6fptVAA= AAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAABRJREFUeF4FwTEBAAAAwJD= 1j+waGQD8APvyfoZlAAAAAElFTkSuQmCC"); background-color: rgb(249, 249, = 249); } #preferences fieldset { border-width: 1px medium medium; border-style: solid none none; = border-color: rgb(204, 204, 204) currentColor currentColor; } #preferences fieldset.prefsection { margin: 1em; padding: 0px; border: currentColor; } #preferences legend { color: rgb(102, 102, 102); } #preferences fieldset.prefsection legend.mainLegend { display: none; } #preferences td { padding-right: 0.5em; padding-left: 0.5em; } #preferences td.htmlform-tip { padding: 0.2em 2em; color: rgb(102, 102, 102); font-size: x-small; } #preferences div.mw-prefs-buttons { padding: 1em; } #preferences div.mw-prefs-buttons input { margin-right: 0.25em; } #userlogin { margin: 0.5em; padding: 1.2em; border: 1px solid rgb(204, 204, 204); = float: left; } #userloginForm { margin: 0.5em; padding: 1.2em; border: 1px solid rgb(204, 204, 204); = float: left; } #userlogin { width: 40em; min-width: 20em; max-width: 90%; } div#content { line-height: 1.5em; } #bodyContent { font-size: 0.8em; } a { color: rgb(6, 69, 173); text-decoration: none; } a:visited { color: rgb(11, 0, 128); } a:active { color: rgb(250, 167, 0); } a:hover { text-decoration: underline; } a:focus { text-decoration: underline; } a.stub { color: rgb(119, 34, 51); } a.new { color: rgb(186, 0, 0); } #p-personal a.new { color: rgb(186, 0, 0); } a.new:visited { color: rgb(165, 88, 88); } #p-personal a.new:visited { color: rgb(165, 88, 88); } img { border: currentColor; vertical-align: middle; } hr { margin: 0.2em 0px; border: 0px currentColor; height: 1px; color: = rgb(170, 170, 170); background-color: rgb(170, 170, 170); } h1 { margin: 0px; width: auto; color: black; overflow: hidden; padding-top: = 0.5em; padding-bottom: 0.17em; font-weight: normal; border-bottom-color: = rgb(170, 170, 170); border-bottom-width: 1px; border-bottom-style: = solid; } h2 { margin: 0px; width: auto; color: black; overflow: hidden; padding-top: = 0.5em; padding-bottom: 0.17em; font-weight: normal; border-bottom-color: = rgb(170, 170, 170); border-bottom-width: 1px; border-bottom-style: = solid; } h3 { margin: 0px; width: auto; color: black; overflow: hidden; padding-top: = 0.5em; padding-bottom: 0.17em; font-weight: normal; border-bottom-color: = rgb(170, 170, 170); border-bottom-width: 1px; border-bottom-style: = solid; } h4 { margin: 0px; width: auto; color: black; overflow: hidden; padding-top: = 0.5em; padding-bottom: 0.17em; font-weight: normal; border-bottom-color: = rgb(170, 170, 170); border-bottom-width: 1px; border-bottom-style: = solid; } h5 { margin: 0px; width: auto; color: black; overflow: hidden; padding-top: = 0.5em; padding-bottom: 0.17em; font-weight: normal; border-bottom-color: = rgb(170, 170, 170); border-bottom-width: 1px; border-bottom-style: = solid; } h6 { margin: 0px; width: auto; color: black; overflow: hidden; padding-top: = 0.5em; padding-bottom: 0.17em; font-weight: normal; border-bottom-color: = rgb(170, 170, 170); border-bottom-width: 1px; border-bottom-style: = solid; } h1 { font-size: 188%; } h1 .editsection { font-size: 53%; } h2 { font-size: 150%; } h2 .editsection { font-size: 67%; } h3 { font-weight: bold; border-bottom-color: currentColor; = border-bottom-width: medium; border-bottom-style: none; } h4 { font-weight: bold; border-bottom-color: currentColor; = border-bottom-width: medium; border-bottom-style: none; } h5 { font-weight: bold; border-bottom-color: currentColor; = border-bottom-width: medium; border-bottom-style: none; } h6 { font-weight: bold; border-bottom-color: currentColor; = border-bottom-width: medium; border-bottom-style: none; } h3 { font-size: 132%; } h3 .editsection { font-size: 76%; font-weight: normal; } h4 { font-size: 116%; } h4 .editsection { font-size: 86%; font-weight: normal; } h5 { font-size: 100%; } h5 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padding: 5px; border: 1px solid rgb(170, 170, 170); font-size: 95%; = background-color: rgb(249, 249, 249); } #toc h2 { padding: 0px; border: currentColor; font-size: 100%; font-weight: bold; = display: inline; } .toc h2 { padding: 0px; border: currentColor; font-size: 100%; font-weight: bold; = display: inline; } #toc #toctitle { text-align: center; } .toc #toctitle { text-align: center; } #toc .toctitle { text-align: center; } .toc .toctitle { text-align: center; } #toc ul { padding: 0px; text-align: left; margin-left: 0px; list-style-type: = none; list-style-image: none; } .toc ul { padding: 0px; text-align: left; margin-left: 0px; list-style-type: = none; list-style-image: none; } #toc ul ul { margin: 0px 0px 0px 2em; } .toc ul ul { margin: 0px 0px 0px 2em; } #toc .toctoggle { font-size: 94%; } .toc .toctoggle { font-size: 94%; } div.floatright { margin: 0px 0px 0.5em 0.5em; border: 0px currentColor; } table.floatright { margin: 0px 0px 0.5em 0.5em; border: 0px currentColor; } 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