Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function. . Includes contributions by some of the most influential people in the field of computational neuroscience. Demonstrates how computational approaches are being used today to interpret experimental data. Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning
Author(s): Paul Cisek, Trevor Drew and John F. Kalaska (Eds.)
Series: Progress in Brain Research 165
Edition: 1
Publisher: Elsevier, Academic Press
Year: 2007
Language: English
Pages: 1-555
Content:
List of Contributors
Pages v-viii
Preface
Pages ix-x
The neuronal transfer function: contributions from voltage- and time-dependent mechanisms Review Article
Pages 1-12
Erik P. Cook, Aude C. Wilhelm, Jennifer A. Guest, Yong Liang, Nicolas Y. Masse, Costa M. Colbert
A simple growth model constructs critical avalanche networks Review Article
Pages 13-19
L.F. Abbott, R. Rohrkemper
The dynamics of visual responses in the primary visual cortex Review Article
Pages 21-32
Robert Shapley, Michael Hawken, Dajun Xing
A quantitative theory of immediate visual recognition Review Article
Pages 33-56
Thomas Serre, Gabriel Kreiman, Minjoon Kouh, Charles Cadieu, Ulf Knoblich, Tomaso Poggio
Attention in hierarchical models of object recognition Review Article
Pages 57-78
Dirk B. Walther, Christof Koch
Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition Review Article
Pages 79-104
Stephen Grossberg
Real-time neural coding of memory Review Article
Pages 105-122
Joe Z. Tsien
Beyond timing in the auditory brainstem: intensity coding in the avian cochlear nucleus angularis Review Article
Pages 123-133
Katrina M. MacLeod, Catherine E. Carr
Neural strategies for optimal processing of sensory signals Review Article
Pages 135-154
Leonard Maler
Coordinate transformations and sensory integration in the detection of spatial orientation and self-motion: from models to experiments Review Article
Pages 155-180
Andrea M. Green, Dora E. Angelaki
Sensorimotor optimization in higher dimensions Review Article
Pages 181-191
Douglas Tweed
How tightly tuned are network parameters? Insight from computational and experimental studies in small rhythmic motor networks Review Article
Pages 193-200
Eve Marder, Anne-Elise Tobin, Rachel Grashow
Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation Review Article
Pages 201-220
Ilya A. Rybak, Ana P.L. Abdala, Sergey N. Markin, Julian F.R. Paton, Jeffrey C. Smith
Modeling a vertebrate motor system: pattern generation, steering and control of body orientation Review Article
Pages 221-234
Sten Grillner, Alexander Kozlov, Paolo Dario, Cesare Stefanini, Arianna Menciassi, Anders Lansner, Jeanette Hellgren Kotaleski
Modeling the mammalian locomotor CPG: insights from mistakes and perturbations Review Article
Pages 235-253
David A. McCrea, Ilya A. Rybak
The neuromechanical tuning hypothesis Review Article
Pages 255-265
Arthur Prochazka, Sergiy Yakovenko
Threshold position control and the principle of minimal interaction in motor actions Review Article
Pages 267-281
Anatol G. Feldman, Valeri Goussev, Archana Sangole, Mindy F. Levin
Modeling sensorimotor control of human upright stance Review Article
Pages 283-297
Thomas Mergner
Dimensional reduction in sensorimotor systems: a framework for understanding muscle coordination of posture Review Article
Pages 299-321
Lena H. Ting
Primitives, premotor drives, and pattern generation: a combined computational and neuroethological perspective Review Article
Pages 323-346
Simon Giszter, Vidyangi Patil, Corey Hart
A multi-level approach to understanding upper limb function Review Article
Pages 347-362
Isaac Kurtzer, Stephen H. Scott
How is somatosensory information used to adapt to changes in the mechanical environment? Review Article
Pages 363-372
Theodore E. Milner, Mark R. Hinder, David W. Franklin
Trial-by-trial motor adaptation: a window into elemental neural computation Review Article
Pages 373-382
Kurt A. Thoroughman, Michael S. Fine, Jordan A. Taylor
Towards a computational neuropsychology of action Review Article
Pages 383-394
John W. Krakauer, Reza Shadmehr
Motor control in a meta-network with attractor dynamics Review Article
Pages 395-410
N.I. Krouchev, J.F. Kalaska
Computing movement geometry: a step in sensory-motor transformations Review Article
Pages 411-424
David Zipser, Elizabeth Torres
Dynamics systems vs. optimal control — a unifying view Review Article
Pages 425-445
Stefan Schaal, Peyman Mohajerian, Auke Ijspeert
The place of ‘codes’ in nonlinear neurodynamics Review Article
Pages 447-462
Walter J. Freeman
From a representation of behavior to the concept of cognitive syntax: a theoretical framework Review Article
Pages 463-474
Thomas Gisiger, Michel Kerszberg
A parallel framework for interactive behavior Review Article
Pages 475-492
Paul Cisek
Statistical models for neural encoding, decoding, and optimal stimulus design Review Article
Pages 493-507
Liam Paninski, Jonathan Pillow, Jeremy Lewi
Probabilistic population codes and the exponential family of distributions Review Article
Pages 509-519
J. Beck, W.J. Ma, P.E. Latham, A. Pouget
On the challenge of learning complex functions Review Article
Pages 521-534
Yoshua Bengio
To recognize shapes, first learn to generate images Review Article
Pages 535-547
Geoffrey E. Hinton
Subject Index
Pages 549-555
