Thursday, 20 July 2017

Neurophysics of Space, Time & Learning

Neurophysics of Space, Time and Learning | Mayank Mehta




"The mind is thought to be the emergent property of the activities of ensembles of neurons. The nature of these emergent properties and how they arise are unknown. This is the focus of our research. In particular, our current research addresses the following fundamental questions in Neurophysics:


1. How is information about the physical world represented by ensembles of neurons? In particular, what are the neural mechanisms of perceiving space-time?
2. How do the neural representations evolve with learning?
3. What is the role of brain rhythms in learning and memory?
4. How does sleep influence learning?
To address these questions we use both experimental and theoretical approaches as follows:
1. Develop hardware to measure and manipulate neural activity and behavior.
2. Measure the activity of ensembles of well isolated neurons from many hippocampal and neocortical areas simultaneously during learning and during sleep.
3. Develop data analysis tools to decipher the patterns of neural activity and field potentials, and their relationship to behavior.
4. Develop biophysical theories of synapses, neurons and neuronal networks that can explain these experimental finding, relate them to the underlying cellular mechanisms, and make experimentally testable predictions.
The results would not only provide fundamental understanding of neural ensemble dynamics but also point to novel ways of treating learning and memory disorders.


Positions held:

Professor, Departments of: Physics & Astronomy, Neurology, Neurobiology, UCLA (2012--)
Honorary member of the Norwegian Royal Academy of Arts and Sciences (2011--)
Associate Professor, Departments of Physics & Astronomy, Neurology, Neurobiology, UCLA (2009--2012)
Visiting Professor, Kavli Institute for Systems Neuroscience, Norway (2009--)
Assistant professor, Department of Neuroscience, Brown University (2004-2009)"


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