Behavioural simulation of biological neuron systems using VHDL and VHDL-AMS

J. A. Bailey, P. R. Wilson, A. D. Brown, J. Chadd

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

5 Citations (Scopus)

Abstract

The investigation of neuron structures is an incredibly difficult and complex task that yields relatively low rewards in terms of information from biological forms (either animals or tissue). The structures and connectivity of even the simplest invertebrates are almost impossible to establish with standard laboratory techniques, and even when this is possible it is generally time consuming, complex and expensive. Recent work has shown how a simplified behavioural approach to modelling neurons can allow ?virtual? experiments to be carried out that map the behaviour of a simulated structure onto a hypothetical biological one, with correlation of behaviour rather than underlying connectivity. The problems with such approaches are numerous. The first is the difficulty of simulating realistic aggregates efficiently, the second is making sense of the results and finally, it would be helpful to have an implementation that could be synthesised to hardware for acceleration. In this paper we present a VHDL implementation of Neuron models that allow large aggregates to be simulated. The models are demonstrated using a system level VHDL and VHDL-AMS model of the C. Elegans locomotory system.
Original languageEnglish
Title of host publicationIEEE International Behavioral Modeling and Simulation Workshop (BMAS), 2007
PublisherIEEE
Pages153-158
ISBN (Print)9781424415670
DOIs
Publication statusPublished - 2007
EventIEEE International Behavioural Modeling and Simulation (BMAS), 2007 - San Jose, USA United States
Duration: 21 Sep 200722 Sep 2007

Conference

ConferenceIEEE International Behavioural Modeling and Simulation (BMAS), 2007
CountryUSA United States
CitySan Jose
Period21/09/0722/09/07

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    Bailey, J. A., Wilson, P. R., Brown, A. D., & Chadd, J. (2007). Behavioural simulation of biological neuron systems using VHDL and VHDL-AMS. In IEEE International Behavioral Modeling and Simulation Workshop (BMAS), 2007 (pp. 153-158). IEEE. https://doi.org/10.1109/BMAS.2007.4437543