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Authors: Marcel Beuler 1 ; Alexander Krum 2 ; Werner Bonath 3 and Hartmut Hillmer 1

Affiliations: 1 University of Kassel, Germany ; 2 University of New South Wales, Australia ; 3 University of Applied Sciences, Germany

ISBN: 978-989-758-274-5

Keyword(s): Huber-Braun, Neuronal Network, FPGA, VHDL.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Complex Artificial Neural Network Based Systems and Dynamics ; Computational Intelligence ; Computational Neuroscience ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: The Hodgkin-Huxley model (HH) describes the initiation and propagation of action potentials in neurons closed to the biological conditions, but it is not well suited for large scale simulation of neuronal networks. In this paper, an implementation of the Huber-Braun model is presented. It is a simplified HH-type model and able to reproduce a wide variety of spiking patterns. An FPGA is selected as a reconfigurable hardware implementation platform to simulate the network functionality of the neurons. The 32-bit floating-point format and computation techniques (i.e. CORDIC) instead of LUTs are used to avoid loss of physiological information. We validated our design with a C++ program and report the synthesis result based on Xilinx Virtex 6 FPGA.

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Paper citation in several formats:
Beuler, M.; Krum, A.; Bonath, W. and Hillmer, H. (2017). FPGA Implementation of the Huber-Braun Neuron Model.In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-274-5, pages 247-254. DOI: 10.5220/0006499102470254

@conference{ijcci17,
author={Marcel Beuler. and Alexander Krum. and Werner Bonath. and Hartmut Hillmer.},
title={FPGA Implementation of the Huber-Braun Neuron Model},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2017},
pages={247-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006499102470254},
isbn={978-989-758-274-5},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - FPGA Implementation of the Huber-Braun Neuron Model
SN - 978-989-758-274-5
AU - Beuler, M.
AU - Krum, A.
AU - Bonath, W.
AU - Hillmer, H.
PY - 2017
SP - 247
EP - 254
DO - 10.5220/0006499102470254

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