NeurosciencePLoS Computational BiologyPeer-reviewed
Predicting synchronous firing of large neural populations from sequential recordings
Oleksandr Sorochynskyi, Stéphane Deny, Olivier Marre, Ulisse Ferrari
The paper presents a method to predict population-level neural activity from sequential single-cell recordings using copula distributions and maximum entropy modeling, showing increased synchronous activity with larger populations.