Ultralow Power Dual-Gated Subthreshold Oxide Neuristors : An Enabler for Higher Order Neuronal Temporal Correlations

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

51 Scopus Citations
View graph of relations

Author(s)

  • Rohit Abraham John
  • Nidhi Tiwari
  • Chen Yaoyi
  • Ankit
  • Naveen Tiwari
  • Mohit Kulkarni
  • Amoolya Nirmal
  • Anh Chien Nguyen
  • Nripan Mathews

Detail(s)

Original languageEnglish
Pages (from-to)11263-11273
Journal / PublicationACS Nano
Volume12
Issue number11
Publication statusPublished - 27 Nov 2018
Externally publishedYes

Abstract

Inspired by neural computing, the pursuit of ultralow power neuromorphic architectures with highly distributed memory and parallel processing capability has recently gained more traction. However, emulation of biological signal processing via artificial neuromorphic architectures does not exploit the immense interplay between local activities and global neuromodulations observed in biological neural networks and hence are unable to mimic complex biologically plausible adaptive functions like heterosynaptic plasticity and homeostasis. Here, we demonstrate emulation of complex neuronal behaviors like heterosynaptic plasticity, homeostasis, association, correlation, and coincidence in a single neuristor via a dual-gated architecture. This multiple gating approach allows one gate to capture the effect of local activity correlations and the second gate to represent global neuromodulations, allowing additional modulations which augment their plasticity, enabling higher order temporal correlations at a unitary level. Moreover, the dual-gate operation extends the available dynamic range of synaptic conductance while maintaining symmetry in the weight-update operation, expanding the number of accessible memory states. Finally, operating neuristors in the subthreshold regime enable synaptic weight changes with high gain while maintaining ultralow power consumption of the order of femto-Joules.

Research Area(s)

  • classical conditioning, coincidence detection, heterosynaptic plasticity, homeostasis, neuromorphic computing, synaptic transistors

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to lbscholars@cityu.edu.hk.

Citation Format(s)

Ultralow Power Dual-Gated Subthreshold Oxide Neuristors : An Enabler for Higher Order Neuronal Temporal Correlations. / John, Rohit Abraham; Tiwari, Nidhi; Yaoyi, Chen et al.

In: ACS Nano, Vol. 12, No. 11, 27.11.2018, p. 11263-11273.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review