Input-space geometry shapes adaptation dynamics underlying repetition suppression in a neural network model of relatedness priming

Bartolini D, Reber TP, Tchumatchenko T, Voigt M.

DOI: 10.64898/2026.09.13.751213
Published: 2026-09-18
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Cite this work

BibTeX

@article{allodium:10.64898/2026.09.13.751213,
  title = {Input-space geometry shapes adaptation dynamics underlying repetition suppression in a neural network model of relatedness priming},
  author = {Bartolini D and  Reber TP and  Tchumatchenko T and  Voigt M.},
  year = {2026},
  doi = {10.64898/2026.09.13.751213},
  url = {https://doi.org/10.64898/2026.09.13.751213}
}

RIS

TY  - JOUR
TI  - Input-space geometry shapes adaptation dynamics underlying repetition suppression in a neural network model of relatedness priming
AU  - Bartolini D
AU  -  Reber TP
AU  -  Tchumatchenko T
AU  -  Voigt M.
PY  - 2026
DO  - 10.64898/2026.09.13.751213
UR  - https://doi.org/10.64898/2026.09.13.751213
ER  -

APA

D, B., TP, R., T, T., & M., V. (2026). Input-space geometry shapes adaptation dynamics underlying repetition suppression in a neural network model of relatedness priming. https://doi.org/10.64898/2026.09.13.751213

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europe-pmc · retrieved 2026-09-26T09:16:02.801Z