They are: Repair and Plasticity ; Systems and Cognitive Neuroscience ; Channels, Synapses, and Circuits ; Neurogenetics ; Neural Environment ; and Neurodegeneration.

From the search for a molecular code of memory to the role of neurotransmitters: a historical perspective, Neural Plasticity, 11 ( 3-4 ), 151-158

* Zeki, S. & Romaya, J. P. ( 2008 ), " Neural correlates of hate ", PloS one, vol.

* Calvin, William " Neural Darwinism: The Theory of Neuronal Group Selection ", Science, 24 June 1988, accessed April 16, 2007 ( a review of Gerald Edelman's book Neural Darwinism )

* Rietman, Ed, " Experiments In Artificial Neural Networks ", 1988.

The first dynamic neural branch predictors ( LVQ-predictors and perceptrons ) were proposed by Prof. Lucian Vintan ( Lucian Blaga University of Sibiu, Romania ), in his paper entitled " Towards a High Performance Neural Branch Predictor ", Proceedings of The International Joint Conference on Neural Networks-IJCNN ' 99, Washington DC, USA, 1999.

* Webber, Charles L., Jr., Ph. D, Pulmonary Curriculum Function :" Neural Control of Breathing ", Stritch School of Medicine, Loyola University-Chicago

* Hyvärinen, A .; Oja, E. ( 2000 ): " Independent Component Analysis: Algorithms and Application ", Neural Networks, 13 ( 4-5 ): 411-430.

* 1997, I. Aleksander, C. Browne, R. Evans, N. Sales, " Conscious and Neural Cognizers: A Review and Some Recent Approaches ", in: Neural Networks, Vol.

J. J. Hopfield, " Neural networks and physical systems with emergent collective computational abilities ", Proceedings of the National Academy of Sciences of the USA, vol.

* John Daugman: " Complete Discrete 2-D Gabor Transforms by Neural Networks for Image Analysis and Compression ", IEEE Trans on Acoustics, Speech, and Signal Processing.

* Geman, S., Bienenstock, E. and Doursat, R. ( 1992 ), " Neural Networks and the Bias / Variance Dilemma ", Neural Computation, 4, 1-58.

( 1992 ), " The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems ", in Moody, J. E., Hanson, S. J., and Lippmann, R. P., Advances in Neural Information Processing Systems 4, 847-854.

There is also a book, " Cellular Neural Networks and Visual Computing Foundations and Applications ", written by Leon Chua and Tamas Roska.

*" Neural Frequencies ", 3 " CD, 2007, Steinklang Industries, with Land Use

* Abraham A., " Adaptation of Fuzzy Inference System Using Neural Learning, Fuzzy System Engineering: Theory and Practice ", Nadia Nedjah et al.

* W. Maass, On the computational power of winner-take-all, Neural Computation, 12: 11, 2000.

), Computational Architectures Integrating Neural and Symbolic Processes.

The assumptions underlying the nativist view have also been subject to sustained criticism in Jeffrey Elman's Rethinking Innateness: A Connectionist Perspective on Development ( Neural Networks and Connectionist Modeling ), which defends the connectionist approach that Pinker has criticized.

* In 1994, Hava Siegelmann proved that her new ( 1991 ) computational model, the Artificial Recurrent Neural Network ( ARNN ), could perform hypercomputation ( using infinite precision real weights for the synapses ).

* The Release of Neural Transmitter Substances ( The Sherrington Lectures X ), Charles C Thomas Publisher, Springfield ( Illinois ) 1969, pp. 60

* KECMAN Vojislav ( 2001 ), Learning and Soft Computing, Support Vector Machines, Neural Networks and Fuzzy Logic Models, The MIT Press, Cambridge, MA, 608 pp., 268 illus., ISBN 0-262-11255-8.

* Anderson, James A .; Rosenfeld, Edward ( editors ), Talking Nets: An Oral History of Neural Networks, 1998.

In English he has published two edited works, Conscious Experience ( 1995 ), and Neural correlates of consciousness: empirical and conceptual issues ( 2000 ).

More advanced neural engineering technologies include the experimental Direct Neural Interface ( DNI ), a system that provides a MechWarrior fuller mental control over a ' Mech than offered by a standard neurohelmet.

Neural correlates of the self-serving bias have been investigated by electroencephalography ( EEG ), as well as functional magnetic resonance imaging ( fMRI ).

* Emergent ( software ), Neural Simulation Software

* Baesens Bart, Stijn Viaene, Dirk Van den Poel, Jan Vanthienen, and Guido Dedene ( 2002 ), “ Bayesian Neural Network Learning for Repeat Purchase Modelling in Direct Marketing ”, European Journal of Operational Research, 138 ( 1 ), 191-211.

His most influential papers have been " The Contribution of Excitons to the Complex Dielectric Constant of Crystals " ( 1958 ), describing the polariton ; “ Electron transfer between biological molecules by thermally activated tunneling ” ( 1974 ), describing the quantum mechanics of long-range electron transfers ; " Kinetic Proofreading: a New Mechanism for Reducing Errors in Biosynthetic Processes Requiring High Specificity " ( 1974 ); " Neural networks and physical systems with emergent collective computational abilities " ( 1982 ) ( known as the Hopfield Network ) and, with D. W. Tank, “ Neural computation of decisions in optimization problems ” ( 1985 ).

Jordan received numerous awards, including a best student paper award ( with X. Nguyen and M. Wainwright ) at the International Conference on Machine Learning ( ICML 2004 ), a best paper award ( with R. Jacobs ) at the American Control Conference ( ACC 1991 ), the ACM / AAAI Allen Newell Award, the IEEE Neural Networks Pioneer Award, and an NSF Presidential Young Investigator Award.

Embodied construction grammar ( ECG ), which is being developed by the Neural Theory of Language ( NTL ) group at ICSI, UC Berkeley, and the University of Hawaii, particularly including Benjamin Bergen and Nancy Chang, adopts the basic constructionist definition of a grammatical construction, but emphasizes the relation of constructional semantic content to embodiment and sensorimotor experiences.

* Breitler, Alan L. and Sloan, C. ( 2005 ), Proceedings of the American Institute of Aeronautics and Astronautics ( AIAA ) Air Force T & E Days Conference, Nashville, TN, December, 2005: System Reliability Prediction: towards a General Approach Using a Neural Network.

Neural circuitry involving the amygdala and hippocampus is thought to underlie anxiety.

Neural engineering ( also known as Neuroengineering ) is a discipline that uses engineering techniques to understand, repair, replace, or enhance neural systems.

Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs.

* Neural encoding is the way in which information is represented in neurons.

A Neural network with two layers.

Neural nets are textbook implementations of this approach.

Caltech also offers interdisciplinary programs in Applied Physics, Biochemistry, Bioengineering, Computation and Neural Systems, Control and Dynamical Systems, Environmental Science and Engineering, Geobiology and Astrobiology, Geochemistry, and Planetary Astronomy.

He defends a theory known by some as Neural Darwinism.

* Neural network backpropagation, η stands for the learning rate.

Neural tissue ( including the brain ) contains relatively high amounts of glycerophospholipids, and alterations in their composition has been implicated in various neurological disorders.

Neural coding is concerned with how sensory and other information is represented in the brain by neurons.

Principles of Neural Science, 4th ed., McGraw-Hill, New York.

An Artificial Neural Network, often just called a neural network, is a mathematical model inspired by biological neural networks.

Neural networks are used to model complex relationships between inputs and outputs or to find patterns in data.

Neural networks are also similar to biological neural networks that functions are performed collectively and in parallel by the units, rather than there being a clear delineation of subtasks to which various units are assigned.

Neural network models which emulate the central nervous system are part of theoretical neuroscience and computational neuroscience.

Neural network models in artificial intelligence are usually referred to as artificial neural networks ( ANNs ); these are essentially simple mathematical models defining a function or a distribution over or both and, but sometimes models are also intimately associated with a particular learning algorithm or learning rule.

Neural networks could predict the outcome for a patient with colorectal cancer with a lot more accuracy than the current clinical methods.

Neural network software is used to simulate, research, develop and apply artificial neural networks, biological neural networks and in some cases a wider array of adaptive systems.

It was extended and published in the 1989 book Neural Darwinism – The Theory of Neuronal Group Selection.