The Handbook of Brain Theory and Neural Networks, Second Edition

(ed.)
MIT Press (2002)
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Abstract

A new, dramatically updated edition of the classic resource on the constantly evolving fields of brain theory and neural networks.

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0262011972   9780262011976  

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Chapters

Past tense learning.Amit Almor
Semantic networks.Michael A. Arbib
Sensory systems.M. A. Arbib
Bayesian methods for supervised neural networks.David Barber
Speech recognition technology.F. Beaufays, H. Bourlard, Horacio Franco & Nelson Morgan
Imitation.A. Billard
Biophysical mechanisms in neuronal modeling.Lyle Borg-Graham
Visual course control in flies.A. Borst & M. Dickinson
Hidden markov models and other finite state automata for sequence processing.Hervé Bourlard & Samy Bengio
Spinal cord of lamprey: Generation of locomotor patterns.J. T. Buchanan
Speech production.Dani Byrd & Elliot Saltzman
Adaptative Resonance Theory.Gail Carpenter & Stephen Grossberg
Hebbian learning and neuronal regulation.G. Chechik, D. Horn & E. Ruppin
Sensorimotor interactions: Principles derived from central pattern generators.A. H. Cohen & D. L. Boothe
Digital VLSI Neural Networks.Hammerstrom Dan
Helmholtz machines and sleep-wake learning.P. Dayan
Kinetic models for synaptic interactions.Alain Destexhe, Zachary F. Mainen & T. Sejnowski
Ensemble learning.Thomas G. Dietterichl
Sequence learning.P. Dominey
Recurrent networks: learning algorithms.Kenji Doya
Visual Processing of Object Structure.Shimon Edelman & Nathan Intrator
Philosophical issues in brain theory and connectionism.Chris Eliasmith & Andy Clark
Cortical population dynamics and psychophysics.Udo A. Ernst & Christian W. Eurich
Emotional circuits and computational neuroscience.Jean-Marc Fellous, Jorge L. Armony & Joseph E. LeDoux
Hebbian synaptic plasticity, comparative and developmental aspects.Yves Frégnac
Analogy-based reasoning and metaphor.Dedre Gentner & Arthur B. Markman
Integrate-and-fire neurons and networks.Wulfram Gerstner
Graphical models: parameter learning.Zoubin Ghahramani
Biophysical mechanisms in neuronal modelling.L. Graham
Systematicity in connectionist generalization.R. F. Hadley
Learning and generalization: theoretical bounds.Ralf Herbrich & Robert C. Williamson
Sensory coding and information transmission.John Hertz & Stefano Panzeri
Locomotion, vertebrate.A. Ijspeert
Vertebrate locomotion.Auke Jan Ijspeert
Graphical models: Probabilistic inference.Michael I. Jordan & Yair Weiss
Neural networks as universal approximators.V. Kurková
Convolutional Networks for Images, Speech, and Time Series.Yann LeCun & Yoshua Bengio
Practical connection between potential fields and neural networks.Jiming Liu & Oussama Khatib
Potential fields and neural networks.J. Liu & O. Khatib
Prosthetics, Motor Control.Gerald E. Loeb & Ning Lan
Prosthetics, sensory systems.Gerald E. Loeb & B. S. Wilson
Robot navigation.J. D. R. Millan
Evolution and learning in neural networks.S. Nolfi & D. Parisi
Statistical mechanics of learning: Generalization.Manfred Opper
Concept learning.Tom J. Palmeri & David Noelle
Post-Hebbian learning algorithms.P. Érdi & Z. Somogyvári
Muscle models.T. G. Sandercock, D. C. Lin & W. Z. Rymer
Arm and hand movement control.Stefan Schaal
Learning robot control.Stefan Schaal
Biologically inspired robotics.Noel E. Sharkey
Fast visual processing and its implications.S. J. Thorpe & M. Fabre-Thorpe
Robot arm control.C. Torras
Sensorimotor learning.D. M. Wolpert & J. R. Flanagan
Optimal sensory encoding.L. Zhaoping

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Skilled activity and the causal theory of action.Randolph Clarke - 2010 - Philosophy and Phenomenological Research 80 (3):523-550.

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