288 pp. per issue
6 x 9, illustrated
2014 Impact factor:

Neural Computation

February 2013, Vol. 25, No. 2, Pages 549-566
(doi: 10.1162/NECO_a_00377)
© 2013 Massachusetts Institute of Technology
Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors
Article PDF (875.12 KB)

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.