Rethinking memory systems for statistical learning

Monday, 9. October 2017 - 13:00 - 14:30
MPI for Human Development, Lentzeallee 94, 14195 Berlin, big conference room
Center for Lifespan Psychology
Sandra Brandenburg | seklindenberger@mpib-berlin.mpg.de

The Center for Lifespan Psychology at the Max Planck Institute for Human Development, led by Prof. Dr. Ulman Lindenberger, cordially invites all interested to attend the following talk:

Nicholas Turk-Browne, Yale University, USA

Dogma states that memory can be divided into distinct types, based on whether conscious or not, one-shot or statistical, autobiographical or factual, sensory or motor, etc. These distinctions have been supported by dissociations in brain localization, task performance, developmental trajectories, and pharmacological interventions, among other techniques. A natural consequence is the assumption of a one-to-one mapping between brain systems and memory behaviors. Aside from theoretical concerns about dissociation logic, there have also now been several empirical demonstrations of where these boundaries break down, from contributions of the hippocampus to reward learning and motor behavior to rapid episodic-like learning in frontal cortex. These considerations suggest that behavior is overdetermined by multiple memory systems.

As a case study, Nicholas Turk-Browne will describe a series of neuroimaging, neuropsychological, and computational studies implicating the hippocampal system in statistical learning, a function more traditionally ascribed to cortical systems. He will end by considering some open questions that arise from this perspective, including about how the function and balance of memory systems changes over development and how multiple memory signals are integrated to guide behavior.

For his CV, please visit his profile at Yale University.