About Me

About Me

Received an undergraduate degree in cognitive and computer science from the University of California, Berkeley in 2019; an MSc in Language & Cognition (L&C) from UConn in 2021; and a Ph.D in L&C from UConn in 2024. Past & current work focuses on the analysis of behavioral and large-scale neuroimaging (EEG, MRI/fMRI) datasets.

Sensory temporal sampling in time: an integrated model of the TSF and neural noise hypothesis as an etiological pathway for dyslexia.

Published in Frontiers in Human Neuroscience, 2024

Recommended citation: Lasnick, O.H.M., Hoeft, F. (2024). Sensory temporal sampling in time: an integrated model of the TSF and neural noise hypothesis as an etiological pathway for dyslexia. Frontiers in human neuroscience, 17, 1294941. https://doi.org/10.3389/fnhum.2023.1294941.