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Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network

Author

Listed:
  • Surazhevsky, I.A.
  • Demin, V.A.
  • Ilyasov, A.I.
  • Emelyanov, A.V.
  • Nikiruy, K.E.
  • Rylkov, V.V.
  • Shchanikov, S.A.
  • Bordanov, I.A.
  • Gerasimova, S.A.
  • Guseinov, D.V.
  • Malekhonova, N.V.
  • Pavlov, D.A.
  • Belov, A.I.
  • Mikhaylov, A.N.
  • Kazantsev, V.B.
  • Valenti, D.
  • Spagnolo, B.
  • Kovalchuk, M.V.

Abstract

We investigate the constructive role of an external noise signal, in the form of a low-rate Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in maintaining for a long time or even recovering a memory trace (engram) of the image without its direct renewal (or rewriting). In particular, this unique dynamic property is demonstrated in a single-layer spiking neural network consisting of simple integrate-and-fire neurons and memristive synaptic weights. This is carried out by preserving and even fine-tuning the conductance values of memristors in terms of dynamic plasticity, specifically spike-timing-dependent plasticity-type, driven by overlapping pre- and postsynaptic voltage spikes. It has been shown that the weights can be to a certain extent unreliable, due to such characteristics as the limited retention time of resistive state or the variation of switching voltages. Such a noise-assisted persistence of memory, on one hand, could be a prototypical mechanism in a biological nervous system and, on the other hand, brings one step closer to the possibility of building reliable spiking neural networks composed of unreliable analog elements.

Suggested Citation

  • Surazhevsky, I.A. & Demin, V.A. & Ilyasov, A.I. & Emelyanov, A.V. & Nikiruy, K.E. & Rylkov, V.V. & Shchanikov, S.A. & Bordanov, I.A. & Gerasimova, S.A. & Guseinov, D.V. & Malekhonova, N.V. & Pavlov, D, 2021. "Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    • Handle: RePEc:eee:chsofr:v:146:y:2021:i:c:s0960077921002435
    DOI: 10.1016/j.chaos.2021.110890
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