Philippe Schyns: Cognitive tasks, brain networks, information flow and computation

University of Glasgow

Abstract: I will introduce Brain Algorithmics, a novel framework to reconnect cognitive neuroscience with the longstanding tradition of information processing explanations in the sciences of cognition.  At its core, Brain Algorithmics identifies the abstract information goals that the brain must process in a cognitive task to accomplish behavior—i.e. the information ontology.  Then, with information theoretic tools, the framework can start revealing where, when and how an algorithmic network model of brain activity represents, transmits and transforms the information ontology between stimulus onset and behavior—i.e. the functional ontology. I will illustrate how Brain Algorithmics can also be successfully applied to derive deeper interpretations of deep convolutional networks.

 

Organized by

Radek Cichy / Margret Franke

Location

BCCN Berlin, lecture hall, Philippstr. 13 Haus 6, 10115 Berlin

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