Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses
Abstract
We present test results from spike-timing correlation learning ex- periments carried out with silicon neurons with STDP (Spike Tim- ing Dependent Plasticity) synapses. The weight change scheme of the STDP synapses can be set to either weight-independent or weight-dependent mode. We present results that characterise the learning window implemented for both modes of operation. When presented with spike trains with di(cid:11)erent types of synchronisation the neurons develop bimodal weight distributions. We also show that a 2-layered network of silicon spiking neurons with STDP synapses can perform hierarchical synchrony detection.
Cite
Text
Bofill-i-petit and Murray. "Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses." Neural Information Processing Systems, 2003.Markdown
[Bofill-i-petit and Murray. "Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/bofillipetit2003neurips-synchrony/)BibTeX
@inproceedings{bofillipetit2003neurips-synchrony,
title = {{Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses}},
author = {Bofill-i-petit, Adria and Murray, Alan F.},
booktitle = {Neural Information Processing Systems},
year = {2003},
pages = {1027-1034},
url = {https://mlanthology.org/neurips/2003/bofillipetit2003neurips-synchrony/}
}