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Modeling the Human Brain

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The Integration of Cognitive Neuroscience with Data and Network Sciences - Jessie Yaros

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Outline:

  • Current methods used to model activity and structure in the human brain
  • How Network Neuroscience and Data Science methods are being applied to neuroscientific data to understand the human brain in health and disease

Topics may include:

  • Network Neuroscientific modeling of how brain regions communicate with one another, and how diseases are characterized by disruptions to network communications
  • Machine Learning applications for early disease predictions using pathology, neuropsychological, and MRI data

About the speaker:

I am a PhD candidate in neurobiology and behavior at UC Irvine studying the neural correlates of facial recognition. I first became interested in neuroscience in high school, realizing it was the marriage of my two favorite subjects – biology and psychology. Since then, I’ve spent a rewarding decade-plus learning about the brain. I started at UC San Diego’s Cognitive Science department, studying the mind through biological, anthropological, philosophical, and computational perspectives. This interdisciplinary training primed my current research on the neurological intersection of facial recognition with social and perceptual aspects of race.

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Organizer of Modeling the Human Brain

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