Skip to content
DraconiticResearch
Search Sources API
189,105 studies31 sourcesUpdated 35 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Closed-loop EEG feedback pacing alters task load during digital learning

Related

  1. Digital-twin optimized transcranial temporal interference electrical stimulation alters rat brain activity patterns and metabolism including deep structures
    P. Wenk, K. Ahmadi, D. Mertens +8
    bioRxivPreprintCC BYFull textNeurosciencebioRxiv
  2. Patient experience in National digital health platforms: Evidence from patient-generated feedback in Saudi Arabia
    Abdulmohsen Saud Albesher
    PLOS OnePeer-reviewedCC BYFull textEcologyImmunologyPLOSEurope PMC
  3. Feedback reliability modulates learning-related dynamics of midfrontal error monitoring
    M. Gawlowska
    bioRxivPreprintCC BYFull textNeurosciencebioRxiv
  4. A Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits
    Xiangnan Zhang, Jingxin Liu, Ranqi Lu +6
    arXivPreprintarXiv licenceFull textNeurosciencearXiv
  5. Beyond the attractor: closed-loop stimulation design for learning multistable neural dynamics
    H. Jeon, I. M. Park
    bioRxivPreprintCC BYFull textNeurosciencebioRxiv
BibTeX
@article{sollazzo2026closedloop,
  title = {{Closed-loop EEG feedback pacing alters task load during digital learning}},
  author = {Katrina Sollazzo and Alexander John Karran and Thaddé Rolon-Merette and Alejandra Ruiz-Segura and Constantinos Coursaris and Pierre-Majorique Léger and Sylvain Sénécal},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-76321-2},
  url = {https://www.nature.com/articles/s41598-026-76321-2},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Closed-loop EEG feedback pacing alters task load during digital learning
AU  - Katrina Sollazzo
AU  - Alexander John Karran
AU  - Thaddé Rolon-Merette
AU  - Alejandra Ruiz-Segura
AU  - Constantinos Coursaris
AU  - Pierre-Majorique Léger
AU  - Sylvain Sénécal
PY  - 2026
DA  - 2026/10/21
JO  - Scientific Reports
DO  - 10.1038/s41598-026-76321-2
UR  - https://www.nature.com/articles/s41598-026-76321-2
SN  - 2045-2322
ER  -