Neural Coding
Neural Coding is a theoretical and analytical framework in computational and systems neuroscience that characterizes how information about external or internal variables is represented and transformed by patterns of activity in single neurons and neural populations, specifying the mapping between stimuli or cognitive states and neural responses.
3.1K
Publications
312.2K
Citations
7.4K
Authors
1.7K
Institutions
Publications per year
2017–2026
1K
3.1K
Neuronal Population Coding of Movement Direction
Apostolos P. Georgopoulos, Andrew B. Schwartz, Ronald E. Kettner · Science · 1986 · 3.2K citations
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1.7K
University College London
London, United Kingdom
56 h-index
312 publications
46.5K citations
Harvard University
Cambridge, United States
51 h-index
180 publications
24.2K citations
University of Oxford
Oxford, United Kingdom
48 h-index
217 publications
20.9K citations

Howard Hughes Medical Institute
Chevy Chase, United States
48 h-index
167 publications
31.5K citations
Princeton University
Princeton, United States
47 h-index
250 publications
34.7K citations
New York University
New York, United States
45 h-index
173 publications
19.4K citations
Massachusetts Institute of Technology
Cambridge, United States
44 h-index
171 publications
31K citations
University of California San Diego
San Diego, United States
42 h-index
126 publications
14.8K citations
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202 publications · 28.6K citations
92
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101 publications · 19.8K citations
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PNAS · 107 publications · 15.2K citations
59
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67 publications · 14.5K citations
59
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JN · 120 publications · 12.2K citations
57
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