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Journal Articles Neural Computation Year : 2013

Pavlov's dog associative learning demonstrated on synaptic-like organic transistors

Abstract

In this paper we present an original demonstration of an associative learning neural network inspired by the famous Pavlov’s dogs experiment. A single nanoparticle organic memory field effect transistor (NOMFET) is used to implement each synapse. We show how the physical properties of this dynamic memristive device can be used to perform low-power write operations for the learning and implement short-term association using temporal coding and spike-timing-dependent plasticity–based learning. An electronic circuit was built to validate the proposed learning scheme with packaged devices, with good reproducibility despite the complex synaptic-like dynamic of the NOMFET in pulse regime.
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Dates and versions

hal-00795977 , version 1 (25-05-2021)

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O. Bichler, W. Zhao, F. Alibart, S. Pleutin, S. Lenfant, et al.. Pavlov's dog associative learning demonstrated on synaptic-like organic transistors. Neural Computation, 2013, 25, pp.549-566. ⟨10.1162/NECO_a_00377⟩. ⟨hal-00795977⟩
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