Continuous learning of spiking networks trained with local rules
Work
Year: 2022
Type: article
Source: Neural Networks
Cites: 78
Cited by: 7
Related to: 10
FWCI: 0.783
Citation percentile (by year/subfield): 74.3
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Grant IDS 18-47-732006, 20-07-00974