Firing Rate Models
Firing Rate Models is a class of neural models that abstracts the activity of a neuron or neural population into a continuous variable representing the number of action potentials per unit time, distinguishing it from spiking models by focusing on average firing rates rather than discrete spike timings.
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14.9K
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509
Authors
281
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2017–2026
42
Variants
Rate ModelsRate-based Models
Parents
206
Dynamics of Encoding in a Population of Neurons
Bruce W. Knight · The Journal of General Physiology · 1972 · 732 citations · Full text
Spike-triggered neural characterization
Odelia Schwartz, Jonathan W. Pillow, Nicole C. Rust et al. · Journal of Vision · 2006 · 464 citations · Full text
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New York University
New York, United States
11 h-index
23 publications
1.4K citations
Oxford Centre for Computational Neuroscience
Oxford, United Kingdom
9 h-index
11 publications
961 citations

University of Nottingham
Nottingham, United Kingdom
7 h-index
17 publications
850 citations
Stanford University
Stanford, United States
7 h-index
17 publications
856 citations
Northwestern University
Evanston, United States
6 h-index
12 publications
1.5K citations
University College London
London, United Kingdom
6 h-index
14 publications
2.8K citations
Courant Institute of Mathematical Sciences
New York, United States
6 h-index
9 publications
429 citations
Université Paris Cité
Paris, France
6 h-index
13 publications
1.1K citations
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17 publications · 1.4K citations
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JN · 15 publications · 1.1K citations
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13 publications · 2.1K citations
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8 publications · 444 citations
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8 publications · 277 citations
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