Machine Learning Link Inference of Noisy Delay-coupled Networks with Opto-Electronic Experimental Tests

no code implementations • 29 Oct 2020 • Amitava Banerjee, Joseph D. Hart, Rajarshi Roy, Edward Ott

To achieve this, we first train a type of machine learning system known as reservoir computing to mimic the dynamics of the unknown network.

BIG-bench Machine Learning Time Series +1

Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links

no code implementations • 5 Dec 2019 • Amitava Banerjee, Jaideep Pathak, Rajarshi Roy, Juan G. Restrepo, Edward Ott

Our technique leverages the results of a machine learning process for short time prediction to achieve our goal.

BIG-bench Machine Learning Causal Inference +2

Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations

no code implementations • 20 Nov 2014 • Subhrajit Roy, Amitava Banerjee, Arindam Basu

Compared to the parallel perceptron architecture trained by the p-delta algorithm, which is the state of the art in terms of performance of readout stages, our readout architecture and learning algorithm can attain better performance with significantly less synaptic resources making it attractive for VLSI implementation.