Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks.

Hofstetter S, Daghlian M, Dumoulin SO

Open source

DOI
10.1523/jneurosci.1237-25.2026
Published
2026 Mar 4
Container
The Journal of neuroscience : the official journal of the Society for Neuroscience
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1523/jneurosci.1237-25.2026,
  title = {Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks.},
  author = {Hofstetter S and Daghlian M and Dumoulin SO},
  year = {2026},
  journal = {The Journal of neuroscience : the official journal of the Society for Neuroscience},
  doi = {10.1523/jneurosci.1237-25.2026},
  url = {https://doi.org/10.1523/jneurosci.1237-25.2026}
}

RIS

TY  - JOUR
TI  - Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks.
AU  - Hofstetter S
AU  - Daghlian M
AU  - Dumoulin SO
PY  - 2026
JO  - The Journal of neuroscience : the official journal of the Society for Neuroscience
DO  - 10.1523/jneurosci.1237-25.2026
UR  - https://doi.org/10.1523/jneurosci.1237-25.2026
ER  - 

APA

S, H., M, D., & SO, D. (2026). Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks.. The Journal of neuroscience : the official journal of the Society for Neuroscience. https://doi.org/10.1523/jneurosci.1237-25.2026

Source records