The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.
- DOI
- 10.1371/journal.pcbi.1008127
- Published
- 2020 Oct
- Container
- PLoS computational biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1008127,
title = {The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.},
author = {Gilson M and Dahmen D and Moreno-Bote R and Insabato A and Helias M},
year = {2020},
journal = {PLoS computational biology},
doi = {10.1371/journal.pcbi.1008127},
url = {https://doi.org/10.1371/journal.pcbi.1008127}
}RIS
TY - JOUR TI - The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. AU - Gilson M AU - Dahmen D AU - Moreno-Bote R AU - Insabato A AU - Helias M PY - 2020 JO - PLoS computational biology DO - 10.1371/journal.pcbi.1008127 UR - https://doi.org/10.1371/journal.pcbi.1008127 ER -
APA
M, G., D, D., R, M., A, I., & M, H. (2020). The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1008127
Source records
- pubmed · retrieved 2026-11-10T09:09:54.024Z