Event-related simulation of neural processing in complex visual scenes

Stefan Mihalas, Yi Dong, Rüdiger Von Der Heydt, Ernst Niebur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Understanding the neural processing of complex visual scenes is facilitated by tools that allow efficient simulation of large neural systems. We here present an environment for the implementation of large networks of generalized integrate-and-fire neurons which uses an asynchronous event-based algorithm. It allows accurate (up to machine precision) calculation of neuronal spike times. Its efficiency arises from its ability to solve the subthreshold dynamics of the model analytically. The simulator is implemented in JAVA and it can run in parallel on a large number of computers with different architectures without the need for compilation. The neuronal network to be simulated and all parameters are defined in extendible markup language. A model of the primate early visual system is implemented. The use of the tool is illustrated by simulating the processing of both simple and complex visual scenes through retina, thalamus and primary visual cortex.

Original languageEnglish (US)
Title of host publication2011 45th Annual Conference on Information Sciences and Systems, CISS 2011
DOIs
StatePublished - Jun 6 2011
Event2011 45th Annual Conference on Information Sciences and Systems, CISS 2011 - Baltimore, MD, United States
Duration: Mar 23 2011Mar 25 2011

Publication series

Name2011 45th Annual Conference on Information Sciences and Systems, CISS 2011

Other

Other2011 45th Annual Conference on Information Sciences and Systems, CISS 2011
Country/TerritoryUnited States
CityBaltimore, MD
Period3/23/113/25/11

ASJC Scopus subject areas

  • Information Systems

Fingerprint

Dive into the research topics of 'Event-related simulation of neural processing in complex visual scenes'. Together they form a unique fingerprint.

Cite this