Neural Encoding Models
Neural Encoding Models is a computational framework that specifies how neural responses are predicted from external stimuli by modeling the transformation of sensory inputs into patterns of neuronal activity.
490
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38.6K
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1.4K
Authors
495
Institutions
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2017–2026
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Dynamics of Encoding in a Population of Neurons
Bruce W. Knight · The Journal of General Physiology · 1972 · 732 citations · Full text
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University College London
London, United Kingdom
17 h-index
28 publications
2.6K citations
Columbia University
New York, United States
14 h-index
38 publications
2.2K citations
The University of Texas at Austin
Austin, United States
14 h-index
53 publications
2K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
51 publications
4.1K citations
Stanford University
Stanford, United States
13 h-index
39 publications
2.5K citations
Princeton University
Princeton, United States
12 h-index
33 publications
3.3K citations
University of Washington
Seattle, United States
12 h-index
32 publications
885 citations
University of California, Berkeley
Berkeley, United States
12 h-index
26 publications
2.9K citations
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24 publications · 1.9K citations
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23 publications · 1.9K citations
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22 publications · 1.8K citations
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17 publications · 1.5K citations
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JN · 18 publications · 800 citations
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