2023
DOI: 10.3390/math11183888
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Control of Network Bursting in a Model Spiking Network Supplied with Memristor—Implemented Plasticity

Sergey V. Stasenko,
Alexey N. Mikhaylov,
Victor B. Kazantsev

Abstract: We consider an unstructured neuron network model composed of excitatory and inhibitory neurons. The synaptic connections are supplied with spike timing-dependent plasticity (STDP). We take the STDP model implemented using a memristor. In normal conditions, the network forms so-called bursting discharges typical of unstructured living networks in dissociated neuronal cultures. Incorporating a biologically inspired model, we demonstrate how memristive plasticity emulates spike timing-dependent plasticity, which … Show more

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Cited by 8 publications
(2 citation statements)
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“…To demonstrate the operation of a spiking ANN, only one special case of a self-learning option is proposed, inspired by article [58]. Currently, there are other approaches to train spiking ANNs [37,77,78], and in many of them, as in the example considered above, information is encoded according to spike frequency. This means that the developed concept can be further developed and improved by developing new designs of analog neuromorphic computer vision systems based on memristive devices.…”
Section: Discussionmentioning
confidence: 99%
“…To demonstrate the operation of a spiking ANN, only one special case of a self-learning option is proposed, inspired by article [58]. Currently, there are other approaches to train spiking ANNs [37,77,78], and in many of them, as in the example considered above, information is encoded according to spike frequency. This means that the developed concept can be further developed and improved by developing new designs of analog neuromorphic computer vision systems based on memristive devices.…”
Section: Discussionmentioning
confidence: 99%
“…This property seems to find a perfect application in memory devices industry, as the possible memory capacity might increase exponentially. Since memristors can handle analogue values and, in addition, the memristor is able to simulate synaptic connections between neurons, some future memristor-based devices could be designed to mimic biological functions and be used to build a brain-like computer [17][18][19]. An intriguing investigation concerning SDC memristors involves their application in modulation/demodulation transceiver links within the context of Binary Phase Shift Keying (BPSK) communication systems [20].…”
Section: Introductionmentioning
confidence: 99%