Inês Bramão: "Electrophysiological Signatures of Episodic Memory Processes Revealed by Neural Pattern Classifiers"
Public cognition and neuro seminar with Inês Bramão.
Recent advances on machine-learning approaches to the analysis of multivariate brain data have demonstrated that mental states, dictated by the external world or by thoughts, can be successfully decoded from patterns of brain activity.
During this presentation, I will show how multivariate pattern analyses (MVPA) can be used to investigate episodic memory processes. Episodic memory enables mental time travel, allowing us to relive specific, personally experienced events tied in time and place. This feat of human memory is dependent on the reinstatement of the cortical brain patterns that were active at the time of encoding.
By applying MVPA to high-temporal resolution brain data (Electroencephalography – EEG) it is possible to measure memory reactivation as it unfolds and investigate its consequences for current and future thinking and behavior. Data from two studies will be presented. Study 1 reveals the temporal dynamics of memory reactivation and shows how the reinstatement of particular aspects of the encoding episode can be associated with benefits and detriments for episodic remembering.
Study 2 presents recent findings showing that the contextual features specifying the original encoding episode are incidentally reinstated during selective retrieval and that such reinstatement tracks retrieval competition and subsequent interference resolution.
Location: Department of psychology, room P124 or via zoom: https://lu-se.zoom.us/j/62827375208