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A biological-realtime neuromorphic system in 28 nm CMOS using low-leakage switched capacitor circuits


Mayr, Christian G; Partzsch, Johannes; Noack, Marko; Hänzsche, Stephan; Scholze, Stefan; Höppner, Sebastian; Ellguth, Georg; Schüffny, Rene (2016). A biological-realtime neuromorphic system in 28 nm CMOS using low-leakage switched capacitor circuits. IEEE Transactions on Biomedical Circuits and Systems, 10(1):243-254.

Abstract

A switched-capacitor (SC) neuromorphic system for closed-loop neural coupling in 28 nm CMOS is presented, occupying 600 um by 600 um. It offers 128 input channels (i.e., presynaptic terminals), 8192 synapses and 64 output channels (i.e., neurons). Biologically realistic neuron and synapse dynamics are achieved via a faithful translation of the behavioural equations to SC circuits. As leakage currents significantly affect circuit behaviour at this technology node, dedicated compensation techniques are employed to achieve biological-realtime operation, with faithful reproduction of time constants of several 100 ms at room temperature. Power draw of the overall system is 1.9 mW.

Abstract

A switched-capacitor (SC) neuromorphic system for closed-loop neural coupling in 28 nm CMOS is presented, occupying 600 um by 600 um. It offers 128 input channels (i.e., presynaptic terminals), 8192 synapses and 64 output channels (i.e., neurons). Biologically realistic neuron and synapse dynamics are achieved via a faithful translation of the behavioural equations to SC circuits. As leakage currents significantly affect circuit behaviour at this technology node, dedicated compensation techniques are employed to achieve biological-realtime operation, with faithful reproduction of time constants of several 100 ms at room temperature. Power draw of the overall system is 1.9 mW.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:February 2016
Deposited On:23 Feb 2016 11:00
Last Modified:08 Dec 2017 18:29
Publisher:Institute of Electrical and Electronics Engineers
Series Name:Transactions on Biomedical Circuits and Systems
ISSN:1932-4545
Publisher DOI:https://doi.org/10.1109/TBCAS.2014.2379294
PubMed ID:25680215

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