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...

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Detalles Bibliográficos
Autores principales: Benjamin, Ari S., Fernandes, Hugo L., Tomlinson, Tucker, Ramkumar, Pavan, VerSteeg, Chris, Chowdhury, Raeed H., Miller, Lee E., Kording, Konrad P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060269/
https://www.ncbi.nlm.nih.gov/pubmed/30072887
http://dx.doi.org/10.3389/fncom.2018.00056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060269/
https://www.ncbi.nlm.nih.gov/pubmed/30072887
http://dx.doi.org/10.3389/fncom.2018.00056

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