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Behavioral Simulation of Biological Neuron Systems in SystemC

Record type: Conference or Workshop Item (Other)

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. Recent work has shown how a simplified behavioural approach to modeling 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 twofold. The first is the difficulty of simulating realistic aggregates efficiently, and the second is making sense of the results. In this paper we describe a method of modeling neuron aggregates using SystemC (a language developed for hardware design), and also a design interface to enable structures and connection maps to be developed, with simulations carried out leading to animated visualization of the results

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Citation

Modi, Sankalp, Wilson, Peter R., Brown, Andrew D. and Chad, John E. (2004) Behavioral Simulation of Biological Neuron Systems in SystemC At IEEE Workshop on Behavioural Modeling and Simulation (BMAS), United States.

More information

Published date: 2004
Additional Information: Event Dates: October 2004
Venue - Dates: IEEE Workshop on Behavioural Modeling and Simulation (BMAS), United States, 2004-10-01
Organisations: EEE

Identifiers

Local EPrints ID: 260033
URI: http://eprints.soton.ac.uk/id/eprint/260033
PURE UUID: dd3a7c6e-4ca7-4934-abab-aa38f253d31e

Catalogue record

Date deposited: 16 Oct 2004
Last modified: 18 Jul 2017 09:17

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Contributors

Author: Sankalp Modi
Author: Peter R. Wilson
Author: Andrew D. Brown
Author: John E. Chad

University divisions


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