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Dynamics of Cortical Neural Networks.
~
ProQuest Information and Learning Co.
Dynamics of Cortical Neural Networks.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Dynamics of Cortical Neural Networks./
作者:
Chariker, Christopher Logan.
面頁冊數:
1 online resource (108 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Contained By:
Dissertation Abstracts International78-05B(E).
標題:
Applied mathematics. -
電子資源:
click for full text (PQDT)
ISBN:
9781369331295
Dynamics of Cortical Neural Networks.
Chariker, Christopher Logan.
Dynamics of Cortical Neural Networks.
- 1 online resource (108 pages)
Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
This item is not available from ProQuest Dissertations & Theses.
This thesis is comprised of two parts: first an investigation into the dynamics of generic local populations of neurons, and second the construction of a realistic model of the input layer to the primary visual cortex of the macaque monkey.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369331295Subjects--Topical Terms:
1069907
Applied mathematics.
Index Terms--Genre/Form:
554714
Electronic books.
Dynamics of Cortical Neural Networks.
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Advisers: Lai-Sang Young; Robert Shapley.
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This thesis is comprised of two parts: first an investigation into the dynamics of generic local populations of neurons, and second the construction of a realistic model of the input layer to the primary visual cortex of the macaque monkey.
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In part 1, we build a sparsely connected network of a few hundred excitatory and inhibitory integrate and fire neurons meant to be representative of generic local populations throughout cortex. Upon viewing the collective pattern of spikes from neurons in the network, a salient feature appears: one sees the repeated brief coordination of small subgroups of neurons, followed by lulls in firing activity. We refer to these coherent groups of spikes as spike clusters, and the phenomenon in general as spike clustering. Rangan and Young (2013) discovered this phenomenon in their simulations, and we study it more systematically and add new results. A challenge is how to provide a useful definition of spike clusters. We solve this problem, subsequently gathering statistics, identifying the mechanism for spike clustering, and investigating the relationship between model parameters and dynamics.
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In part 2, we create another integrate and fire network model, this time of a specific location in cortex. Our focus is a small patch of layer 4Calpha in macaque V1, containing 9 orientation hypercolumns, located at about 5° eccentricity. We model the LGN connectivity to 4Calpha in accordance with anatomical data, as well as outputs from layer 6, the feedback layer. We drive the model with drifting grating for visual stimulus, and we systematically located parameter regimes and modified network structure to match data and recreate a number of features exhibited by 4Calpha. We studied orientation selectivity, firing rate statistics, modulation ratio, gamma band oscillation, and the relation of these properties with each other and with various aspects of network structure and parameters.
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