A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks - researchr publication related

researchr

You are not signed in
Sign in
Sign up

S. Bianchi, I. Muñoz-Martín, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini. A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks. In IEEE International Symposium on Circuits and Systems, ISCAS 2020, Sevilla, Spain, October 10-21, 2020. pages 1-5, IEEE, 2020. [doi]

The following publications are possibly variants of this publication:

Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networksValerio Milo, Giacomo Pedretti, M. Laudato, A. Bricalli, E. Ambrosi, S. Bianchi, Elisabetta Chicca, Daniele Ielmini. iscas 2018: 1-5 [doi]

runs on WebDSL