Inferring single-trial neural population dynamics using sequential auto-encoders
Inferring single-trial neural population dynamics using sequential auto-encoders
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Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
Neuroscience is experiencing a revolution in which simultaneous recording of thousands of neurons is revealing population dynamics that are not apparent from single-neuron responses. This structure is typically extracted from data averaged across many trials, but deeper understanding requires studying phenomena detected in single trials, which is c...
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Full title
Inferring single-trial neural population dynamics using sequential auto-encoders
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6380887
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6380887
Other Identifiers
ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/s41592-018-0109-9
