Neural coding: A theoretical vista of mechanisms, techniques, and applications

J. van Leo Hemmen, Raphael Ritz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper presents an overview of the capabilities of spiking neurons in processing complex information. We propose a flexible neuron model (the Spike Response Model), that is amenable to both analytic treatment and straightforward numerical simulation, and analyze the dynamics of a large network consisting of these neurons. We also present tools that, given some homogeneity, enable one to analytically treat the dynamical response of a network, a highly nonlinear system. Finally, we evaluate the underlying mechanisms, such as the dependence upon the axonal delays, the local inhibition, structural feedback, and discuss applications to associative feature linking, pattern segmentation, and context-sensitive binding.

Original languageEnglish
Title of host publicationAnalysis of Dynamical and Cognitive Systems - Advanced Course, 1993, Proceedings
EditorsStig I. Andersson
PublisherSpringer Verlag
Pages75-119
Number of pages45
ISBN (Print)3540588434, 9783540588436
DOIs
StatePublished - 1995
EventAdvanced Course on Analysis of Dynamical and Cognitive Systems, 1993 - Stockholm, Sweden
Duration: 9 Aug 199314 Aug 1993

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume888
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceAdvanced Course on Analysis of Dynamical and Cognitive Systems, 1993
Country/TerritorySweden
CityStockholm
Period9/08/9314/08/93

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