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

Abstract

In this letter, 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.

References in corpus (2)

• An organic nanoparticle transistor behaving as a biological synapse
• A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing

Cited by in corpus (4)

• Neuromimetic Circuits with Synaptic Devices based on Strongly Correlated Electron Systems
• Perspective: Organic electronic materials and devices for neuromorphic engineering
• Low voltage and time constant organic synapse-transistor
• Monadic Pavlovian associative learning in a backpropagation-free photonic network