Spike-based Signal Processing
Spike-Based Signal Processing is a computational framework that processes information through discrete temporal events called spikes, distinguishing itself from continuous-value signal processing methods by encoding and transmitting data via the timing and frequency of these sparse, asynchronous pulses.
370
Publications
19.4K
Citations
1.1K
Authors
442
Institutions
Publications per year
2017–2026
130
Parents
370
Deconvolution with the l 1 norm
Howard L. Taylor, Stephen C. Banks, John McCoy · Geophysics · 1979 · 428 citations
Computing, Computer Science, Biomedical Signal Processing +12
John F. Rudge, B. C. Reynolds, Bernard Bourdon · Chemical Geology · 2009 · 415 citations
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442

Peking University
Beijing, China
16 h-index
70 publications
4.6K citations
ETH Zurich
Zurich, Switzerland
14 h-index
39 publications
4.8K citations
University of Zurich
Zurich, Switzerland
14 h-index
37 publications
3.8K citations

Universidad de Sevilla
Seville, Spain
12 h-index
58 publications
4.1K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
26 publications
1K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
11 h-index
27 publications
3.3K citations
National University of Singapore
Singapore, Singapore
10 h-index
23 publications
4.1K citations

Imperial College London
London, United Kingdom
8 h-index
22 publications
958 citations
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27 publications · 1.4K citations
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16 publications · 525 citations
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11 publications · 580 citations
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11 publications · 560 citations
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