Spike Timing-Dependent Plasticity in the Address Domain
Abstract
Address-event representation (AER), originally proposed as a means to communicate sparse neural events between neuromorphic chips, has proven efficient in implementing large-scale networks with arbitrary, configurable synaptic connectivity. In this work, we further extend the functionality of AER to implement arbitrary, configurable synaptic plas- ticity in the address domain. As proof of concept, we implement a bi- ologically inspired form of spike timing-dependent plasticity (STDP) based on relative timing of events in an AER framework. Experimen- tal results from an analog VLSI integrate-and-fire network demonstrate address domain learning in a task that requires neurons to group corre- lated inputs.
Cite
Text
Vogelstein et al. "Spike Timing-Dependent Plasticity in the Address Domain." Neural Information Processing Systems, 2002.Markdown
[Vogelstein et al. "Spike Timing-Dependent Plasticity in the Address Domain." Neural Information Processing Systems, 2002.](https://mlanthology.org/neurips/2002/vogelstein2002neurips-spike/)BibTeX
@inproceedings{vogelstein2002neurips-spike,
title = {{Spike Timing-Dependent Plasticity in the Address Domain}},
author = {Vogelstein, R. J. and Tenore, Francesco and Philipp, Ralf and Adlerstein, Miriam S. and Goldberg, David H. and Cauwenberghs, Gert},
booktitle = {Neural Information Processing Systems},
year = {2002},
pages = {1171-1178},
url = {https://mlanthology.org/neurips/2002/vogelstein2002neurips-spike/}
}