- Wednesday, May 20th 2020 at 16:00 - 17:00 UK (Other timezones)
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Solving even simple tasks is hard if one relies to strictly on sensory inputs. The brain therefore has evolved ways that allow it to connect to the world in richer ways than a pure stimulus-based manner: perceptual information is filtered, combined, and/or augmented to create so called state representations; and past experiences are reactivated during times of rest and sleep in so called replay events. In this talk, I will present work on both of these aspects and how they can be measured with fMRI in humans. We tested how representations influence replay by asking whether transitions between task-state representations are reactivated at rest during hippocampal replay events. Participants learned to make decisions about ambiguous stimuli that depended on past events and attentionally filtered stimulus processing. FMRI signal during rest periods following this task indicated sequential reactivation of task states. We also show that during the task, state information can be decoded from orbitofrontal fMRI signals, and that this decoding is linked to replay in the hippocampus and behavior. Next, I will present work on a novel fMRI analysis method that allowed to investigate sequential reactivation of previously experienced task states in the hippocampus. These results indicate that adaptive task state representations are computed and replayed within the limbic system. I speculate that these representations link to other core computations of the brain, in particular reward learning and generalisation, and may be impaired in psychiatric disease.
Nicolas Schuck
Max Planck Research Group Leader
Max Planck Institute for Human Development, Berlin, Germany