Inferring single-trial neural population dynamics using sequential auto-encoders

Neuroscience is experiencing a revolution in which simultaneous recording of many thousands of neurons is revealing population dynamics that are not apparent from single-neuron responses. This structure is typically extracted from trial-averaged data, but deeper understanding requires studying singl...

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Detalles Bibliográficos
Autores principales: Pandarinath, Chethan, O’Shea, Daniel J., Collins, Jasmine, Jozefowicz, Rafal, Stavisky, Sergey D., Kao, Jonathan C., Trautmann, Eric M., Kaufman, Matthew T., Ryu, Stephen I., Hochberg, Leigh R., Henderson, Jaimie M., Shenoy, Krishna V., Abbott, L. F., Sussillo, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380887/
https://www.ncbi.nlm.nih.gov/pubmed/30224673
http://dx.doi.org/10.1038/s41592-018-0109-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380887/
https://www.ncbi.nlm.nih.gov/pubmed/30224673
http://dx.doi.org/10.1038/s41592-018-0109-9

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