Memristive synapses connect brain and silicon spiking neurons

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Alexantrou Serb - , University of Southampton (Author)
  • Andrea Corna - , University of Padua (Author)
  • Richard George - , Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics (Author)
  • Ali Khiat - , University of Southampton (Author)
  • Federico Rocchi - , University of Padua (Author)
  • Marco Reato - , University of Padua (Author)
  • Marta Maschietto - , University of Padua (Author)
  • Christian Mayr - , Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics (Author)
  • Giacomo Indiveri - , University of Zurich, ETH Zurich (Author)
  • Stefano Vassanelli - , University of Padua (Author)
  • Themistoklis Prodromakis - , University of Southampton (Author)

Abstract

Brain function relies on circuits of spiking neurons with synapses playing the key role of merging transmission with memory storage and processing. Electronics has made important advances to emulate neurons and synapses and brain-computer interfacing concepts that interlink brain and brain-inspired devices are beginning to materialise. We report on memristive links between brain and silicon spiking neurons that emulate transmission and plasticity properties of real synapses. A memristor paired with a metal-thin film titanium oxide microelectrode connects a silicon neuron to a neuron of the rat hippocampus. Memristive plasticity accounts for modulation of connection strength, while transmission is mediated by weighted stimuli through the thin film oxide leading to responses that resemble excitatory postsynaptic potentials. The reverse brain-to-silicon link is established through a microelectrode-memristor pair. On these bases, we demonstrate a three-neuron brain-silicon network where memristive synapses undergo long-term potentiation or depression driven by neuronal firing rates.

Details

Original languageEnglish
Article number2590
Number of pages7
JournalScientific reports
Volume10
Issue number1
Publication statusPublished - 2020
Peer-reviewedYes

External IDs

Scopus 85086008923

Keywords