Efficient Neuromorphic Hardware Through Spiking Temporal Online Local Learning

Journal article

Peer reviewed

IEEE transactions on very large scale integration (VLSI) systems, Vol.30(11), pp.1642-1653

01/11/2022

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Title: Efficient Neuromorphic Hardware Through Spiking Temporal Online Local Learning
Creators - without role: Wenzhe Guo - King Abdullah University of Science and Technology
Mohammed E. Fouda - University of California, Irvine
Ahmed M. Eltawil - King Abdullah University of Science and Technology
Khaled Nabil Salama - King Abdullah University of Science and Technology
Publication Details: IEEE transactions on very large scale integration (VLSI) systems, Vol.30(11), pp.1642-1653
Identifiers: 9942168308331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article