Spiking Neuron Models: Single Neurons, Populations, Plasticity

by Wulfram Gerstner, Werner M. Kistler

This introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. The authors formulate the theoretical concepts clearly without many mathematical details. While the book contains standard material for courses in computational neuroscience, neural modeling, or neural networks, it also provides an entry to current research. No prior knowledge beyond undergraduate mathematics is required.

Genres: Neuroscience, Artificial Intelligence, Brain

Paperback

First published January 1, 2002

Reviews

[Jethro Kuan · Rating 5 out of 5]

Only read the first chapter, because only that chapter is relevant to me, but it was a great, succinct introduction to spiking neurons

[Yates Buckley · Rating 4 out of 5]

Great text reference for spiking neurons, mathematically abstract, not computational.

[DJ]

more neural coding

[Angel · Rating 4 out of 5]

Really interesting introduction to spiking neuron models. Wish it had more clear examples though.

[Jacob Kanev · Rating 5 out of 5]

Very good reference book for neuron models.