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Authors: Fearghal Morgan ; Finn Krewer ; Frank Callaly ; Aedan Coffey and Brian Mc Ginley

Affiliation: National University of Ireland Galway, Ireland

ISBN: 978-989-758-161-8

Keyword(s): Brain-Inspired Computation, Biological Neural Networks, FPGA Hardware Neural Networks, Low Entropy Model Specification (LEMS), VHDL, Web-Enabled Neural Capture.

Abstract: This paper presents a prototype web-based Graphical User Interface (GUI) platform for integrating and testing a system that can perform Low-Entropy Model Specification (LEMS) neural network description to Hardware Description Language (VHDL) conversion, and automatic synthesis and neuron implementation and testing on Field Programmable Gate Array (FPGA) testbed hardware. This system enables hardware implementation of neuron components and their connection in a small neural network testbed. This system incorporates functionality for automatic LEMS to synthesisable VHDL translation, automatic VHDL integration with FPGA logic to enable data I/O, automatic FPGA bitfile generation using Xilinx PlanAhead, automated multi- FPGA testbed configuration, neural network parameter configuration and flexible testing of FPGA based neuron models. The prototype UI supports clock step control and real-time monitoring of internal signals. References are provided to video demonstrations.

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Paper citation in several formats:
Morgan, F.; Krewer, F.; Callaly, F.; Coffey, A. and Mc Ginley, B. (2015). Web-enabled Neuron Model Hardware Implementation and Testing.In Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NeBICA, (NEUROTECHNIX 2015) ISBN 978-989-758-161-8, pages 138-145. DOI: 10.5220/0005713001380145

@conference{nebica15,
author={Fearghal Morgan. and Finn Krewer. and Frank Callaly. and Aedan Coffey. and Brian Mc Ginley.},
title={Web-enabled Neuron Model Hardware Implementation and Testing},
booktitle={Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NeBICA, (NEUROTECHNIX 2015)},
year={2015},
pages={138-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005713001380145},
isbn={978-989-758-161-8},
}

TY - CONF

JO - Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NeBICA, (NEUROTECHNIX 2015)
TI - Web-enabled Neuron Model Hardware Implementation and Testing
SN - 978-989-758-161-8
AU - Morgan, F.
AU - Krewer, F.
AU - Callaly, F.
AU - Coffey, A.
AU - Mc Ginley, B.
PY - 2015
SP - 138
EP - 145
DO - 10.5220/0005713001380145

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