Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales.

Varetti S, Goldt S, Piasini E

DOI: 10.1371/journal.pcbi.1014653
Published: 2026 Aug
Container: PLoS computational biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1014653,
  title = {Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales.},
  author = {Varetti S and Goldt S and Piasini E},
  year = {2026},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1014653},
  url = {https://doi.org/10.1371/journal.pcbi.1014653}
}

RIS

TY  - JOUR
TI  - Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales.
AU  - Varetti S
AU  - Goldt S
AU  - Piasini E
PY  - 2026
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1014653
UR  - https://doi.org/10.1371/journal.pcbi.1014653
ER  -

APA

S, V., S, G., & E, P. (2026). Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014653

Source records

pubmed · retrieved 2026-09-26T02:56:44.702Z