Energy-Efficient Neuromorphic Receptors for Wide-Range Temporal Patterns of Post-Synaptic Responses

Xuefei You, Amir Zjajo, Sumeet S. Kumar, Rene van Leuken

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

In a neuromorphic integrated circuit synaptic dynamics are of great importance to capture accurate neural behaviors. In this paper, we propose a current-based synapse design mediated with multiple receptor types, namely AMPA, NMDA and GABAa, and a weight-dependent learning algorithm. Due to various biological conducting mechanisms, the receptors demonstrate different kinetics in response to stimulus. The designed circuit offers distinctive features of receptors as well as the joint synaptic function. An increased computation ability is verified through synchrony detection in a two-layer recurrent network of synapse clusters. The design implemented in TSMC 65 nm CMOS technology consumes 1.92, 3.36, 1.11 and 35.22 pJ per spike event of energy for AMPA, NMDA, GABAa receptors and the advanced learning circuit, respectively.
Original languageEnglish
Title of host publicationConference Proceedings - IEEE Nordic Circuits and Systems Conference (NORCAS) - NORCHIP and International Symposium of System-on-Chip (SoC)
EditorsJari Nurmi, Mark Vesterbacka, J. Jacob Wikner, Atila Alvandpour, Martin Nielsen-Lönn, Ivan Ring Nielsen
Place of PublicationDanvers, MA
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-5386-2844-7
DOIs
Publication statusPublished - 2017
Event2017 IEEE Nordic Circuits and Systems Conference (NORCAS) - NORCHIP and International Symposium of System-on-Chip (SoC) - Linköping, Sweden
Duration: 23 Oct 201725 Oct 2017
http://www.norcas.org/

Conference

Conference2017 IEEE Nordic Circuits and Systems Conference (NORCAS) - NORCHIP and International Symposium of System-on-Chip (SoC)
Abbreviated titleNORCAS - NORCHIP
Country/TerritorySweden
CityLinköping
Period23/10/1725/10/17
Internet address

Keywords

  • neuromorphic design
  • synapse
  • receptor
  • synchrony detection
  • synaptic plasticity

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