Behavioural Simulation and Synthesis of Biological Neuron Systems using VHDL

Bailey, Julian, Wilson, Peter, Brown, Andrew and chad, john (2008) Behavioural Simulation and Synthesis of Biological Neuron Systems using VHDL At BMAS.


[img] PDF BMAS_Draft_Submission.pdf - Other
Download (360kB)


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 synthesizable system level VHDL model of the C. Elegans locomotory system.

Item Type: Conference or Workshop Item (Other)
Venue - Dates: BMAS, 2008-09-01
Organisations: EEE
ePrint ID: 266668
Date :
Date Event
September 2008Published
Date Deposited: 15 Sep 2008 20:11
Last Modified: 17 Apr 2017 19:00
Further Information:Google Scholar

Actions (login required)

View Item View Item