Associative neural memories
Neural networks with dynamic synapses
Neural Computation
Learning with memristive devices: How should we model their behavior?
NANOARCH '11 Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures
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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.