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Modeling the dynamical neural systems on different timescales

Description:

With neurons as its primary computational components, the brain operates at multiple timescales. In this thesis, we focus on two timescales: on a relatively slow timescale on the order of hours to days, the brain adapts to the environment it is exposed to and learns its circuitry by altering the...

Keyword:

Neuronal heterogeneity, Synchronization, Computational neuroscience, Binocular matching, Primary visual cortex , and Gamma rhythm

Subject:

Applied mathematics

Creator:

Xu, Xize

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

10/07/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_845291 and http://dissertations.umi.com/northwestern:15765
Modeling of Structural Plasticity and Synchronization in the Rodent Olfactory Bulb

Description:

To survive, animals, including human beings, have developed an amazing ability to learn the constantly changing environment. Specifically, detecting specific odorants in a noisy, variable background is crucial for finding food and water, mating, and avoiding potential dangers. For this purpose, rodents have developed an olfactory system that is powerful...

Keyword:

Synchronization, Olfactory Bulb, Neuron, Structural Plasticity, Learning, and Rhythms

Subject:

Applied mathematics and Neurosciences

Creator:

Meng, Hongyu

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

04/28/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14966 and etdadmin_upload_713722

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Modeling the dynamical neural systems on different timescales

Modeling of Structural Plasticity and Synchronization in the Rodent Olfactory Bulb

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