Reconfigurable Computation in Spiking Neural Networks

Reconfigurable Computation in Spiking Neural Networks

The computation of rank ordering plays a fundamental role in cognitive tasks and offers a basic building block for computing arbitrary digital functions. Spiking neural networks have been demonstrated to be capable of identifying the largest k out of N analog input signals through their collective n...

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Bibliographic Details
Main Authors: Fabio Schittler Neves, Marc Timme
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Analog computing
coupled oscillators
network dynamics
nonlinear dynamics
spiking neural networks
winner-takes-all
Online Access:https://ieeexplore.ieee.org/document/9210073/

Internet

https://ieeexplore.ieee.org/document/9210073/

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