FPGA Implementation of the Huber-Braun Neuron Model

Marcel Beuler, Alexander Krum, Werner Bonath, Hartmut Hillmer

2017

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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