WEIGHTS CONVERGENCE AND SPIKES CORRELATION IN AN ADAPTIVE NEURAL NETWORK IMPLEMENTED ON VLSI

A. Daouzli, S. Saïghi, L. Buhry, Y. Bornat, S. Renaud

2008

Abstract

This paper presents simulations of a conductance-based neural network implemented on a mixed hardware-software simulation system. Synaptic connections follow a bio-realistic STDP rule. Neurons receive correlated input noise patterns, resulting in a weights convergence in a confined range of conductance values. The correlation of the output spike trains depends on the correlation degree of the input patterns.

Paper Citation

in Harvard Style

Daouzli A., Saïghi S., Buhry L., Bornat Y. and Renaud S. (2008). WEIGHTS CONVERGENCE AND SPIKES CORRELATION IN AN ADAPTIVE NEURAL NETWORK IMPLEMENTED ON VLSI . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 286-291. DOI: 10.5220/0001069102860291

in Bibtex Style

@conference{biosignals08,
author={A. Daouzli and S. Saïghi and L. Buhry and Y. Bornat and S. Renaud},
title={WEIGHTS CONVERGENCE AND SPIKES CORRELATION IN AN ADAPTIVE NEURAL NETWORK IMPLEMENTED ON VLSI},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={286-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001069102860291},
isbn={978-989-8111-18-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - WEIGHTS CONVERGENCE AND SPIKES CORRELATION IN AN ADAPTIVE NEURAL NETWORK IMPLEMENTED ON VLSI
SN - 978-989-8111-18-0
AU - Daouzli A.
AU - Saïghi S.
AU - Buhry L.
AU - Bornat Y.
AU - Renaud S.
PY - 2008
SP - 286
EP - 291
DO - 10.5220/0001069102860291