Modern Machine Learning as a Benchmark for Fitting Neural Responses
Neuroscience has long focused on finding encoding models that effectively ask “what predicts neural spiking?” and generalized linear models (GLMs) are a typical approach. It is often unknown how much of explainable neural activity is captured, or missed, when fitting a model. Here we compared the pr...
Main Authors: | Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad P. Kording |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-07-01
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Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fncom.2018.00056/full |
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