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Models of Neural Networks: Temporal Aspects of Coding and Information Processing in Biological Systems (Physics of Neural Networks) (v. 2) by Wulfram Gerstner, J. Leo van Hemmen (auth.), Professor Eytan Domany, Professor Dr. J. Leo van Hemmen, Professor Klaus Schulten (eds.) is a nonfiction available to read on EtoBox.

What is Models of Neural Networks: Temporal Aspects of Coding and Information Processing in Biological Systems (Physics of Neural Networks) (v. 2) about?

Since The Appearance Of Vol. 1 Of Models Of Neural Networks In 1991, The Theory Of Neural Nets Has Focused On Two Paradigms: Information Coding Through Coherent Firing Of The Neurons And Functional Feedback. Information Coding Through Coherent Neuronal Firing Exploits Time As A Cardinal Degree Of Freedom. This Capacity Of A Neural Network Rests On The Fact That The Neuronal Action Potential Is A Short, Say 1 Ms, Spike, Localized In Space And Time. Spatial As Well As Temporal Correlations Of Activity May Represent Different States Of A Network. In Particular, Temporal Correlations Of Activity May Express That Neurons Process The Same Object Of, For Example, A Visual Scene By Spiking At The Very Same Time. The Traditional Description Of A Neural Network Through A Firing Rate, The Famous S-shaped Curve, Presupposes A Wide Time Window Of, Say, At Least 100 Ms. It Thus Fails To Exploit The Capacity To Bind Sets Of Coherently Firing Neurons For The Purpose Of Both Scene Segmentation And Figure-ground Segregation. Feedback Is A Dominant Feature Of The Structural Organization Of The Brain. Recurrent Neural Networks Have Been Studied Extensively In The Physical Literature, Starting With The

Who reads Models of Neural Networks: Temporal Aspects of Coding and Information Processing in Biological Systems (Physics of Neural Networks) (v. 2)?

Author

Wulfram Gerstner, J. Leo van Hemmen (auth.), Professor Eytan Domany, Professor Dr. J. Leo van Hemmen, Professor Klaus Schulten (eds.)

Publisher

Springer-Verlag New York

Published

1994

Language

EN

ISBN

9781461243205

Category

nonfiction

Subjects

Science, Physics, Biology