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Peer-reviewedLicence not statedNeural Computation

Cross-Frequency Coupling as a Neural Substrate for Prediction Error Evaluation: A Laminar Neural Mass Modeling Approach

  • Giulio Ruffini1
  • Edmundo Lopez-Sola1,2
  • Raul Palma2
  • Roser Sanchez-Todo1,2
  • Jakub Vohryzek2
  • Francesca Castaldo1
  • Karl John Friston3
  1. 1Neuroelectrics, Barcelona, Spain
  2. 2Universitat Pompeu Fabra, Barcelona, Spain
  3. 3Wellcome Centre for Human Neuroimaging, University College London, London, UK
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Cite

BibTeXRIS
BibTeX
@article{ruffini2026crossfrequency,
  title = {{Cross-Frequency Coupling as a Neural Substrate for Prediction Error Evaluation: A Laminar Neural Mass Modeling Approach}},
  author = {Giulio Ruffini and Edmundo Lopez-Sola and Raul Palma and Roser Sanchez-Todo and Jakub Vohryzek and Francesca Castaldo and Karl John Friston},
  journal = {Neural Computation},
  year = {2026},
  month = jul,
  doi = {10.1162/neco.a.1537},
  url = {https://doi.org/10.1101/2025.03.19.644090},
}
RIS
TY  - JOUR
TI  - Cross-Frequency Coupling as a Neural Substrate for Prediction Error Evaluation: A Laminar Neural Mass Modeling Approach
AU  - Giulio Ruffini
AU  - Edmundo Lopez-Sola
AU  - Raul Palma
AU  - Roser Sanchez-Todo
AU  - Jakub Vohryzek
AU  - Francesca Castaldo
AU  - Karl John Friston
PY  - 2026
DA  - 2026/07/27
JO  - Neural Computation
DO  - 10.1162/neco.a.1537
UR  - https://doi.org/10.1101/2025.03.19.644090
SN  - 0899-7667
SN  - 1530-888X
ER  -