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.
@article{avramidis2025deep,title={Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements},author={Avramidis, Kleanthis and Jeong, Woojae and Kommineni, Aditya and Kadiri, Sudarsana R and Ma, Marcus and McDaniel, Colin and Hughes, Myzelle and McGee, Thomas and Kaiser, Elsi and Byrd, Dani and others},journal={arXiv preprint arXiv:2504.20944},year={2025},}
OSF
PRECOG: Comprehensive Experimental Design and Stimuli Protocol for Investigating Depression and Suicidal Ideation
@article{hughesprecog,title={PRECOG: Comprehensive Experimental Design and Stimuli Protocol for Investigating Depression and Suicidal Ideation},author={Hughes, Myzelle and McDaniel, Colin and MEDANI, Takfarinas and Jeong, Woojae and Blank, Idan and Byrd, Dani and McGee, Thomas and Avramidis, Kleanthis and Kadiri, Sudarsana and Chinara, Chinmay and others},journal={Open Science Framework},year={2025},}
2024
EMBC 2024
Knowledge-guided EEG Representation Learning
Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan
In IEEE Engineering in Medicine and Biology Conference (EMBC), 2024
@inproceedings{kommineni2024knowledge,title={Knowledge-guided EEG Representation Learning},author={Kommineni, Aditya and Avramidis, Kleanthis and Leahy, Richard and Narayanan, Shrikanth},booktitle={IEEE Engineering in Medicine and Biology Conference (EMBC)},year={2024},publisher={IEEE},}