[CTN] CTN seminar: Dr. Mriganka Sur, 3:30 Sept 22, PAS 2464
Bryan Tripp
bptripp at gmail.com
Tue Sep 15 17:20:36 EDT 2015
Hi everyone,
Dr. Mriganka Sur (MIT) will give the next seminar, Tuesday of next week.
The title and abstract follow.
The time and place are as usual, 3:30 in PAS 2464.
Please let me know if you would like to meet Professor Sur individually
and/or join us for dinner after the talk.
Hope to see you there,
Bryan
The Functional Logic of Cortical Circuits
Cortical circuits transform simpler inputs into complex outputs that
underlie behavior and cognition. Neuronal circuits of the cortex involve
feedforward and top-down inputs, connections between specific types of
excitatory and inhibitory neurons, and neuromodulatory inputs to specific
cell classes. We have utilized novel experimental approaches – including
two-photon imaging of neurons across multiple cortical regions in behaving
mice, targeted recordings from specific neuron types, and activation and
suppression of neuron classes - to analyze circuits that mediate visual
perception and behavior. I will describe some recent results demonstrating
powerful circuit motifs underlying spatial and temporal processing in the
cortex. These include inhibitory computations performed via two fundamental
operations, division and subtraction, by parvalbumin (PV) and somatostatin
(SOM) expressing neurons; modulation of temporal processing by
acetylcholine via a unique inhibitory-disinhibitory microcircuit; and
information flow and attractor dynamics in neuronal populations of the
frontal cortex during memory-guided behavior.
Wilson, N.R., C.A. Runyan, F.L. Wang, and M. Sur. Division and subtraction
by distinct cortical inhibitory networks in vivo. Nature 488: 343-348, 2012.
El-Boustani, S. and M. Sur. Response-dependent dynamics of cell-specific
inhibition in cortical networks in vivo. Nature Communications [doi:
10.1038/ncomm6689], 2014.
Chen N, H. Sugihara and M. Sur. An acetylcholine-activated microcircuit
drives temporal dynamics of cortical activity. Nature Neuroscience 18:
892-902, 2015.
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