Neural field models for latent state inference: Application to large-scale neuronal recordings.
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Publication Date
2019-11-04Journal Title
PLoS computational biology
ISSN
1553-734X
Volume
15
Issue
11
Pages
e1007442
Language
eng
Type
Article
This Version
VoR
Physical Medium
Electronic-eCollection
Metadata
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Rule, M., Schnoerr, D., Hennig, M. H., & Sanguinetti, G. (2019). Neural field models for latent state inference: Application to large-scale neuronal recordings.. PLoS computational biology, 15 (11), e1007442. https://doi.org/10.1371/journal.pcbi.1007442
Keywords
Nerve Net, Neurons, Animals, Humans, Brain Mapping, Data Interpretation, Statistical, Bayes Theorem, Computational Biology, Action Potentials, Algorithms, Models, Theoretical, Models, Neurological, Neuroimaging
Identifiers
External DOI: https://doi.org/10.1371/journal.pcbi.1007442
This record's URL: https://www.repository.cam.ac.uk/handle/1810/299133