Computational Neuroscience 2000

[Terry Sejnowski]

The following special supplement to Nature Neuroscience is available free at:
http://www.nature.com/neuro/journal/v3/n11s/index.html

Terry

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Nature Neuroscience
November 2000 Volume 3 Number Supp pp 1160 - 1211
 
Computational approaches to brain function  p 1160
Charles Jennings Ph.D. Editor & Sandra Aamodt Ph.D. Senior Editor
 
Computational neuroscience at the NIH  pp 1161 - 1164
 
History
 
The Hodgkin-Huxley theory of the action potential  p 1165
Michael Heusser
 
Half a century of Hebb  p 1166
H. Sebastian Seung
 
The basic unit of computation  p 1167
Anthony Zador
 
Models of motion detection  p 1168
Alexander Borst
 
The Pope and grandmother's frog's-eye view of theory  p 1169
Kevan Martin
 
Computation by neural networks  p 1170
Geoffrey Hinton
 
Reviews
 
The role of single neurons in information processing  pp 1171 - 1177
Christof Koch & Idan Segev
 
Synaptic plasticity: taming the beast  pp 1178 - 1183
L. Abbott & Sacha Nelson
 
Neurocomputational models of working memory  pp 1184 - 1191
Daniel Durstewitz, Jeremy Seamans & Terrence Sejnowski
 
Computational approaches to sensorimotor transformations  pp 1192 - 1198
Alexandre Pouget & Lawrence Snyder
 
Models of object recognition  pp 1199 - 1204
Maximilian Riesenhuber & Tomaso Poggio
 
Computer simulation of cerebellar information processing  pp 1205 - 1211
Javier Medina & Michael Mauk
 
Computational principles of movement neuroscience  pp 1212 - 1217
Daniel Wolpert & Zoubin Ghahramani
 
Learning and selective attention  pp 1218 - 1223
Peter Dayan, Sham Kakade & P. Read Montague
 
Viewpoints

Models are common; good theories are scarce  p 1177
Charles Stevens
 
In the brain, the model is the goal  p 1183
Bartlett Mel
 
Facilitating the science in computational neuroscience  p 1191
Lyle Borg-Graham
 
Models identify hidden assumptions  p 1198
Eve Marder
 
On theorists and data in computational neuroscience  p 1204
J. Hopfield
 
What does 'understanding' mean?  p 1211
Gilles Laurent

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