18 citations · 26 across the 3 of their papers we have counts for
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cs.ET2017★ 18 cited
Implementation of Multilayer Perceptron Network with Highly Uniform Passive Memristive Crossbar Circuits
F. Merrikh Bayat, M. Prezioso, B. Chakrabarti +2
The progress in the field of neural computation hinges on the use of hardware more efficient than the conventional microprocessors. Recent works have shown that mixed-signal integr…
cs.ET2016★ 8 cited
Advancing Memristive Analog Neuromorphic Networks: Increasing Complexity, and Coping with Imperfect Hardware Components
F. Merrikh Bayat, M. Prezioso, B. Chakrabarti +2
We experimentally demonstrate classification of 4x4 binary images into 4 classes, using a 3-layer mixed-signal neuromorphic network ("MLP perceptron"), based on two passive 20x20 m…