WIP & Methods
Amy Wong
Wednesday, 14 January 2026, 12pm to 1pm
Hybrid via Teams or in-person in the Cowey rooms, FMRIB Annexe
Hosted by Mats Van Es
Join via Teams
Title & abstract TBC
Detecting 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.
