Header

UZH-Logo

Maintenance Infos

VLSI implementation of a conductance-based multi-synapse using switched- capacitor circuits


Noack, M; Krause, M; Mayr, C; Partzsch, J; Schüffny, R (2014). VLSI implementation of a conductance-based multi-synapse using switched- capacitor circuits. In: IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, 1 June 2014 - 5 June 2014, 850-853.

Abstract

For neuromorphic ICs, the implemented synaptic dynamics play an important role in the complexity achievable when running networks on the overall IC. One of these ingredients for realistic dynamics are conductance-based synapses, which in contrast to current-based synapses let a neuron adapt in various ways to its input characteristics. Another ingredient is classical neuronal spike-frequency adaptation. Both are usually realized in fully-analog subthreshold circuits, making them hard to port to modern sub-100nm technologies. In contrast, we present a compact switched-capacitor (SC) model of a conductance-based synapse that can be widely configured to accurately depict e.g. NMDA, GABA or AMPA type synapses. The SC approach is inherently easy to port between technologies and its digital part benefits fully from technology scaling. We show how this synapse circuit can also be utilized to endow a neuron with spike-frequency adaptation (SFA).

Abstract

For neuromorphic ICs, the implemented synaptic dynamics play an important role in the complexity achievable when running networks on the overall IC. One of these ingredients for realistic dynamics are conductance-based synapses, which in contrast to current-based synapses let a neuron adapt in various ways to its input characteristics. Another ingredient is classical neuronal spike-frequency adaptation. Both are usually realized in fully-analog subthreshold circuits, making them hard to port to modern sub-100nm technologies. In contrast, we present a compact switched-capacitor (SC) model of a conductance-based synapse that can be widely configured to accurately depict e.g. NMDA, GABA or AMPA type synapses. The SC approach is inherently easy to port between technologies and its digital part benefits fully from technology scaling. We show how this synapse circuit can also be utilized to endow a neuron with spike-frequency adaptation (SFA).

Statistics

Citations

1 citation in Web of Science®
2 citations in Scopus®
Google Scholar™

Altmetrics

Additional indexing

Item Type:Conference or Workshop Item (Speech), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:5 June 2014
Deposited On:25 Feb 2015 10:31
Last Modified:08 Dec 2017 11:38
Publisher:IEEE
ISBN:978-1-4799-3431-7
Publisher DOI:https://doi.org/10.1109/ISCAS.2014.6865269

Download

Full text not available from this repository.
View at publisher