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ANC Seminar: Gediminas Luksys

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  • ANC/DTC Seminar
When Dec 06, 2016
from 11:00 AM to 12:00 PM
Where IF 4.31/4.33
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Computational model-based analysis of learning and memory: stress, genes and prediction


How we learn, recall our memories, and use them for making decisions depend on our genes as well as on environmental modulators, such as stress, emotion and uncertainty. Cognitive performance is the outcome of several neurobiologically distinct mental processes, some of which are not easily amenable to direct observation. Their roles and interactions can, however, be dissociated with computational models. Using examples from animal reinforcement learning under stress and imaging genetics of human memory, I will show how computational models can be used to discover neural and genetic correlates of various cognitive phenomena, and provide their computational explanations. I will also discuss about interpretation, replication and generalization of model-based analysis results as well as how neuroinformatics can facilitate that. Finally, I will propose future directions and applications of this approach, such as automated characterization of individual decision making profiles and individualized cognitive neurotherapeutics.