Neural Codes and Distributed Representations
Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation 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.
About the Editors
Larry Abbott is Professor of Neuroscience and Co-Director of the Center for Theoretical Neuroscience at Columbia University.
Terrence J. Sejnowski is Francis Crick Professor and Director of the Computational Neurobiology Laboratory at the Salk Institute, an Investigator at the Howard Hughes Medical Institute, and Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for President Obama’s BRAIN Initiative.