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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
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A self-resetting spiking phase-change neuron.

R A Cobley1, H Hayat1, C D Wright1

  • 1Department of Engineering, University of Exeter, Exeter EX4 4QF, United Kingdom.

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|February 23, 2018
PubMed
Summary
This summary is machine-generated.

Phase-change devices can mimic neuron function beyond synapses. This study shows a single phase-change memory cell can act as an integrate-and-fire neuron, enabling all-phase-change neuromorphic computing.

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Area of Science:

  • Materials Science
  • Computer Engineering
  • Neuroscience

Background:

  • Phase-change devices are mainly used for neuromorphic synapses.
  • Phase-change materials exhibit an accumulation mode suitable for neuron mimicry.

Purpose of the Study:

  • To demonstrate a phase-change device functioning as an integrate-and-fire spiking neuron.
  • To explore the potential of all-phase-change neuromorphic computing.

Main Methods:

  • Physical modeling of nanoscale phase-change devices.
  • SPICE modeling of integrated circuits incorporating phase-change memory cells.
  • Designing a comparator-type circuit for neuron emulation.

Main Results:

  • A single phase-change memory cell, within a comparator circuit, successfully mimics an integrate-and-fire spiking neuron.
  • The demonstrated neuron exhibits self-resetting capabilities.
  • The approach validates the use of phase-change accumulation mode for neural computation.

Conclusions:

  • Phase-change memory cells can serve as functional units for spiking neurons, not just synapses.
  • This work paves the way for realizing fully phase-change-based neuromorphic computing systems.
  • Integrating phase-change neurons and synapses offers a novel pathway for brain-inspired computing architectures.