Neuronal synchrony detection on single-electron neural networks

Takahide Oya, Tetsuya Asai, Ryo Kagaya, Tetsuya Hirose and Yoshihito Amemiya

Chaos, Solitons & Fractals, 2006, vol. 27, issue 4, 887-894

Abstract: Synchrony detection between burst and non-burst spikes is known to be one functional example of depressing synapses. Kanazawa et al. demonstrated synchrony detection with MOS depressing synapse circuits. They found that the performance of a network with depressing synapses that discriminates between burst and random input spikes increases non-monotonically as the static device mismatch is increased. We designed a single-electron depressing synapse and constructed the same network as in Kanazawa’s study to develop noise-tolerant single-electron circuits. We examined the temperature characteristics and explored possible architecture that enables single-electron circuits to operate at T>0K.

Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:27:y:2006:i:4:p:887-894

DOI: 10.1016/j.chaos.2005.04.059

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