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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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| Publicado no: | Front Comput Neurosci |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6060269/ https://ncbi.nlm.nih.gov/pubmed/30072887 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2018.00056 |
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