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Since its founding in 1989 by Terrence Sejnowski, Neural Computation has
become the leading journal in the field. Foundations of Neural
Computations collects, by topic, the most significant papers
that have appeared in the journal over the past nine years.
The present volume focuses on neural codes and representations, topics
of broad interest to neuroscientists and modelers. The topics
addressed are: how neurons encode information through action potential
firing patterns, how populations of neurons represent information, and
how individual neurons use dendritic processing and biophysical
properties of synapses to decode spike trains. The papers encompass a
wide range of levels of investigation, from dendrites and neurons to
networks and systems.
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