Gradient-Free De Novo Learning.

Friston K, Parr T, Heins C, Da Costa L, Salvatori T, Tschantz A, Koudahl M, Van de Maele T, Buckley C, Verbelen T

DOI: 10.3390/e27090992
Published: 2025 Sep 22
Container: Entropy (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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

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Cite this work

BibTeX

@article{allodium:10.3390/e27090992,
  title = {Gradient-Free De Novo Learning.},
  author = {Friston K and Parr T and Heins C and Da Costa L and Salvatori T and Tschantz A and Koudahl M and Van de Maele T and Buckley C and Verbelen T},
  year = {2025},
  journal = {Entropy (Basel, Switzerland)},
  doi = {10.3390/e27090992},
  url = {https://doi.org/10.3390/e27090992}
}

RIS

TY  - JOUR
TI  - Gradient-Free De Novo Learning.
AU  - Friston K
AU  - Parr T
AU  - Heins C
AU  - Da Costa L
AU  - Salvatori T
AU  - Tschantz A
AU  - Koudahl M
AU  - Van de Maele T
AU  - Buckley C
AU  - Verbelen T
PY  - 2025
JO  - Entropy (Basel, Switzerland)
DO  - 10.3390/e27090992
UR  - https://doi.org/10.3390/e27090992
ER  -

APA

K, F., T, P., C, H., L, D. C., T, S., A, T., M, K., T, V. D. M., C, B., & T, V. (2025). Gradient-Free De Novo Learning.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e27090992

Source records

pubmed · retrieved 2026-09-26T14:03:36.991Z