Skip to content
DraconiticResearch
Search Sources API
181,713 studies31 sourcesUpdated 18 min ago
PreprintAll rights reservedbioRxiv

High-dimensional population codes reveal interpretable and diverse features underlying visual perception

  1. 1Cold Spring Harbor Laboratory

Related

  1. Hippocampal mechanisms underlying the resolution of competition in memory and perception.
    Serra E Favila, Mariam Aly
    Nature communicationsPeer-reviewedCC BYFull text9 citedNeuroscienceEurope PMCOpenAlex
  2. Single-nucleus transcriptomics uncovers region-specific molecular features underlying selective aging vulnerability of cholinergic neurons
    Qianqian Li, Jiale Chen, Xiuli Liu +3
    iSciencePeer-reviewedCC BY-NC 4.0Full textNeuroscienceCell PressCrossrefEurope PMC
  3. Interpretable machine learning coupled to gene regulatory networks uncovers subcircuits underlying cell fate decisions
    Z. H. Rarani, S. Keshari, A. Sachan +9
    bioRxivPreprintCC BY-NC-NDFull textSystems & synthetic biologybioRxiv
  4. Machine learning reveals sequence and genomic context features underlying Alu-specific effects on genome folding
    S. Zhang, K. S. Pollard
    bioRxivPreprintCC BYFull textGenetics & genomicsbioRxiv
  5. mc-ASTRA maps population-level variation to interpretable multicellular tissue organization processes
    R. O. Ramirez Flores, K. S. Kruger Serrano, F. Gaspar Vieira +2
    bioRxivPreprintCC BYFull textSystems & synthetic biologybioRxiv
BibTeX
@misc{issa2026highdimensional,
  title = {{High-dimensional population codes reveal interpretable and diverse features underlying visual perception}},
  author = {H. Issa and S. Liu and J. Balle and D. Klindt},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.05.748439},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.05.748439v1},
}
RIS
TY  - UNPB
TI  - High-dimensional population codes reveal interpretable and diverse features underlying visual perception
AU  - H. Issa
AU  - S. Liu
AU  - J. Balle
AU  - D. Klindt
PY  - 2026
DA  - 2026/09/05
PB  - bioRxiv
DO  - 10.64898/2026.09.05.748439
UR  - https://www.biorxiv.org/content/10.64898/2026.09.05.748439v1
ER  -