A sub-nW neuromorphic receptors for wide-range temporal patterns of post-synaptic responses in 65 nm CMOS

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

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Synaptic dynamics is of great importance in realizing biophysically accurate neural behaviors and efficient synaptic learning in neuromorphic integrated circuits. In this paper, we propose a current-based synapse structure with multi-compartment receptors AMPA, NMDA and GABAa and a weight-dependent learning algorithm. The designed circuit offers distinctive dynamic features of receptors as well as a joint synaptic function. A cross-correlation methodology is applied to a two-layer RNN built by multi-compartment receptors to demonstrate the proposed synapse structure. An increased computation efficiency is verified through temporal synchrony detection among the neural layers in a noisy environment. 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 and the advanced learning circuit, respectively.

Original languageEnglish
Pages (from-to)477-488
Number of pages12
JournalAnalog Integrated Circuits and Signal Processing
Volume98
Issue number3
DOIs
Publication statusPublished - 2019

Keywords

  • Neuromorphic design
  • Receptor
  • Synapse
  • Synaptic plasticity
  • Synchrony detection

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