Search Results for author: Parvin Zarei Eskikand

Found 2 papers, 0 papers with code

Path Signatures for Seizure Forecasting

no code implementations18 Aug 2023 Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden

In computational neuroscience, the prediction of future epileptic seizures from brain activity measurements, using EEG data, remains largely unresolved despite much dedicated research effort.

EEG Seizure prediction +2

Understanding visual processing of motion: Completing the picture using experimentally driven computational models of MT

no code implementations16 May 2023 Parvin Zarei Eskikand, David B Grayden, Tatiana Kameneva, Anthony N Burkitt, Michael R Ibbotson

Computational modeling helps neuroscientists to integrate and explain experimental data obtained through neurophysiological and anatomical studies, thus providing a mechanism by which we can better understand and predict the principles of neural computation.

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