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Date of Award

Winter 12-15-2016

Author's School

Graduate School of Arts and Sciences

Author's Department

Physics

Degree Name

Doctor of Philosophy (PhD)

Degree Type

Dissertation

Abstract

The visual cortex is a densely-interconnected network of neurons, which receives sensory input from the early visual pathway, and represents information about the visual world in the resulting spatiotemporal activity patterns. These patterns are mediated by cortical interactions that span multiple spatial scales (i.e., neuron-neuron, neuron-population, and population-population). Such interactions are a fundamental property of cortical function, and capture the contribution of the cortex to sensory coding. Yet these interactions are only beginning to be understood, in part because of the challenge of recording ongoing and visually-evoked activity across multiple spatial scales in individual studies. In this thesis, we present the results of such a study. Using the ex vivo turtle eye-attached whole-brain preparation, we simultaneously recorded the membrane potentials from pairs of cortical pyramidal neurons, as well as the nearby local field potential (LFP). In a parallel set of experiments, we recorded the LFP from multiple locations using a microelectrode array. To identify relevant cortical properties, we supplemented our experimental approach with network simulations. Our results quantify cortical interactions using a variety of coordination measures, and suggest that ongoing cortical activity, synaptic clustering, synaptic adaptation, and emergent network phenomena fundamentally shape the distribution and dynamics of coordination levels. Together, these results contribute to a clearer picture of cortical visual processing, and the roles of specific anatomical and emergent cortical properties in network function.

Language

English (en)

Chair and Committee

Ralf Wessel

Committee Members

Anders Carlsson, Jim Miller, Woodrow Shew, Larry Snyder

Comments

Permanent URL: https://doi.org/10.7936/K7J101M1

Available for download on Monday, December 21, 2020

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