Adaptive polymeric system for Hebbian type learning

Paolo Camorani (1) , Victor Erokhin (2) , Tatiana Berzina (2) , Marco P. Fontana (3)

1 Physics
2 Physics
3 UNIPR - Università degli studi di Parma = University of Parma

We present the experimental realization of an adaptive polymeric system displaying a "learning behaviour". The system consists on a statistically organized networks of memristive elements (memory-resitors) based on polyaniline. In a such network the path followed by the current increments its conductivity, a property which makes the system able to mimic Hebbian type learning and have application in hardware neural networks. After discussing the working principle of single memristive element developed in our lab we present realization and the relative experimental results a statistically organized polymeric adaptive network.

Mots clés: Physical Sciences

Paolo Camorani, Victor Erokhin, Tatiana Berzina, Marco P. Fontana. Adaptive polymeric system for Hebbian type learning. Philosophical Magazine, 2011, pp.1. ⟨10.1080/14786435.2010.542191⟩. ⟨hal-00662386⟩