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Exact Gradient Computation for Spiking Neural Networks via Forward Propagation

Description:
Spiking neural networks (SNN) have recently emerged as alternatives to traditional neural networks, owing to its energy efficiency benefits and capacity to capture biological neuronal …
Year:
2023
Contributor:
ICERM (producer)
National Science Foundation (U.S.). Division of Mathematical Sciences (funder)
Karbasi, Amin (speaker)
Karniadakis, George (organizer)
Xu, Jinchao, 1961- (organizer)
D'Elia, Marta (organizer)
Mishra, Siddhartha (organizer)
Sapsis, Themistoklis (organizer)
Zhang, Zhongqiang (organizer)
Subject:
Traditional neural networks
Exact gradients
Traditional networks
Snn w.r.t
Snn
Surrogate gradients
Spike times
Other related algorithms
Neural networks
Other algorithms
Mathematics
Local ID:
icerm000004
Collection:
Institute for Computational and Experimental Research in Mathematics
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