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

Journal article (2019)

Authors

Xuefei You Student

Amir Zjajo Signal Processing Systems -

S.S. Kumar Signal Processing Systems -

T.G.R.M. van Leuken Signal Processing Systems -

Research Group

Signal Processing Systems () (TU Delft)

Synapse Neuromorphic design Receptor Synaptic plasticity Synchrony detection

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http://resolver.tudelft.nl/uuid:e7d33501-07da-4acc-a4b5-95c7a2751561

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Published Date

2019

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

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.

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