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Computational

Content tagged with Computational

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Haim Sompolinksy

Person

Sompolinsky’s research goal is to uncover the fundamental principles of the organization, the dynamics and the function of the brain, viewing the brain through multiscale lenses, spanning the molecular, the cellular, and the circuit levels. To achieve...

Carolyn Elya

Person

The Elya lab focuses on unraveling the mechanisms by which parasitic fungi manipulate animal behavior, using the lab-tractable "zombie fly" model system (Drosophila melanogaster infected with the fungal parasite Entomophthora muscae). Zombie flies flies...

Janet Song

Person

There are millions of sequence variants between humans and other species. The Song lab aims to identify and characterize the variants that contributed to human-specific traits, with a particular focus on the evolution of the human brain. In particular, we...

Kimberly Reinhold

Person

Our lab studies how sensory cues become linked to adaptive or maladaptive responses through learning. Adaptive responses are necessary to develop, survive and thrive; maladaptive responses contribute to disorders across the lifespan. We study this...

John Rolston

Person

My research focuses on improving neuromodulation therapies for epilepsy through patient-specific computational modeling, advanced neuroimaging, and brain network analysis. Many epilepsy patients do not respond to medication, and while surgery is an option...

Jonathan Green

Person

Our research explores how we learn from our mistakes—a fundamental building block of intelligent behavior. As infants learning to walk, we take unsteady steps, fall, adjust, and eventually develop stable locomotion. This iterative cycle of action, error...

David Lin, MD

Person

We are an interdisciplinary team of neurologists, neuroscientists, engineers, and rehabilitation scientists working together to improve recovery for patients after stroke. New therapies are urgently needed to cure the staggering worldwide disability that...

SueYeon Chung

Person

My lab focuses on developing theories of neural representations to understand neural coding and the relationship between neural geometry and computation in biological and artificial neural networks. This involves creating theories, methods, and models...

Daniel Hochbaum

Person

We are broadly interested in molecular programs that shape cognition and behavior. Our current work centers on circulating factors (i.e. hormones)— produced by peripheral organs, influenced by environment and somatic state, and readily measured in human...

Sattar Khoshkhoo

Person

The human brain is a mosaic structure with significant genetic diversity arising from post-zygotic (i.e., somatic) genetic variation. The overarching mission of our lab is to examine how this somatic variation contributes to both typical and pathological...