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WIN Wednesday Works In Progress Title & abstract TBC

 

 

 

 

 

 

 

WIN Wednesday Methods SeriesDetecting Human Neural Replay with Temporally Delayed Linear Modelling (TDLM)

Presented by Amy Wong

Abstract: Neural replay, the spontaneous and rapid reactivation of past neural sequences, is thought to play a key role in memory and planning. Detecting neural replay noninvasively in humans remains challenging. We present a Python-based implementation of Temporally Delayed Linear Modelling (TDLM), a method for detecting neural replay in human MEG data. We outline key analysis steps, replication efforts of Liu et al. (Cell, 2019), and discuss challenges such as parameter sensitivity and oscillatory noise, to promote transparent and reproducible methods for studying human neural replay. imaging method to date.