A Compact 140nW/input Winner-Take-All Circuit for Spiking Neural Networks
Author:
Affiliation:
1. Indian Institute of Technology Bombay,Electrical Engineering,Mumbai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558381.pdf?arnumber=10558381
Reference15 articles.
1. Neuromorphic Edge Computing for Biomedical Applications: Gesture Classification Using EMG Signals
2. Energy efficient ECG classification with spiking neural network
3. Theory and tools for the conversion of analog to spiking convolutional neural networks;Rueckauer,2016
4. STDP enables spiking neurons to detect hidden causes of their inputs;Nessler,2009
5. A high-precision VLSI winner-take-all circuit for self-organizing neural networks
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