PRECOG | Biosignal Sensing & Processing

PRECOG: Multimodal integration of neural and biobehavioral signals for predicting preconscious responses is a four year project, supported by the Defense Advanced Research Projects Agency (DARPA) as a part of the Neural Evidence Aggregation Tool (NEAT) programme. This project will use modern technology to identify and interpret objective neural and physiological signal biomarkers that can support screening of “preconscious signals” of mental and behavioral health risk factors for conditions such as depression and suicidal ideation.

Supported by DARPA Neural Evidence Aggregation Tool (NEAT).
More information at the PRECOG website.

References

2024

EMBC 2024

Knowledge-guided EEG Representation Learning

Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan

46th IEEE Engineering in Medicine and Biology Conference (EMBC), 2024

Bib PDF

@article{kommineni2024knowledge,
  title = {Knowledge-guided EEG Representation Learning},
  author = {Kommineni, Aditya and Avramidis, Kleanthis and Leahy, Richard and Narayanan, Shrikanth},
  journal = {46th IEEE Engineering in Medicine and Biology Conference (EMBC)},
  year = {2024},
}