Spike-based Control Algorithms
Spike-Based Control Algorithms is a class of neuromorphic control strategies that utilize discrete, event-driven spike signals to encode and process information, distinguishing itself through its emulation of biological neural dynamics for real-time, low-power closed-loop system regulation.
11
Publications
507
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43
Authors
20
Institutions
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2017–2026
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Steven M. Chase, Andrew B. Schwartz, Robert E. Kass · Neural Networks · 2009 · 141 citations · Full text
Evolving spiking neural network controllers for autonomous robots
Hani Hagras, A. Pounds-Cornish, Martin Colley et al. · 2004 · 96 citations
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Universidad de Sevilla
Seville, Spain
2 h-index
11 publications
360 citations
Tongji University
Shanghai, China
1 h-index
1 publications
49 citations
Universidad de Cádiz
Cadiz, Spain
1 h-index
2 publications
108 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
3 publications
423 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
2 publications
32 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
423 citations
Mitsubishi Corporation (United States)
New York, United States
1 h-index
5 publications
55 citations

University of Baghdad
Baghdad, Iraq
1 h-index
1 publications
25 citations
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2 publications · 190 citations
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1 publications · 11 citations
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1 publications · 25 citations
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1 publications · 54 citations
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1 publications · 16 citations
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