Neural Codes and Distributed Representations: Foundations of Neural Computation (Computational Neuroscience)

The "Foundations of Neural Computation" collection is a groundbreaking anthology that brings together the most influential papers from Neural Computation, the leading journal in the field since its inception in 1989.

Edited by Terrence Sejnowski, a renowned neuroscientist and HHMI Investigator, this comprehensive volume covers the fundamental principles of neural coding and representation, providing insights into 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.

With a wide range of topics explored at various levels of investigation - from dendrites and neurons to networks and systems - this book is an essential resource for neuroscientists, modelers, and anyone interested in understanding the complexities of neural computation.