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Now showing items 1-14 of 14
Modeling and analysis of nonlinear biological systems
(University of Missouri--Columbia, 2007)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This dissertation focuses on the modeling and analysis of a set of biological phenomenon at a cellular (Part I) and systems (Part II) level. In Part ...
Models of neuronal subcircuits in the crustacean cardiac ganglion and the mammalian perirhinal cortex
(University of Missouri--Columbia, 2011)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This dissertation deals with four related studies that involve simulations of computational models of neurons and neuronal networks at varying levels ...
Computational neural modeling at the cellular and network levels: two case studies
(University of Missouri--Columbia, 2007)
Computational neuroscience provides tools to abstract and generalize principles of neuronal functions using mathematics, with applicability to the entire neuroscience spectrum. Problems at two levels of the neuroscience ...
Computational modeling of sensory circuitry in the nucleus tractus solitarii from arterial baroreceptor and somatosensory inputs
(University of Missouri--Columbia, 2007)
Baroreflex function regulates the arterial blood pressure in our body. The baroreflex is considered to be an integrated negative feedback system. NTS (Nucleus tractus solitarius) is one of key subsystems in this baroreflex ...
Computational modeling of the fear circuit : a system approach to understand anxiety and stress disorder
(University of Missouri--Columbia, 2009)
Computational models are becoming increasingly important to systems neuroscience. In fear learning, although there have been a few attempts at modeling emotional learning and memory in the past, most were limited to ...
Development of a two-dimensional human thermal model for EVA applications
(University of Missouri-Columbia, 2002)
The human thermoregulatory system, with its active and passive components, is difficult to model due to nonlinearities, complex interactions, and a lack of understanding of many of the active thermoregulatory mechanisms. ...
Specific bio-modeling and analysis techniques at cellular and systems level
(University of Missouri--Columbia, 2006)
Modeling approaches are developed for two different levels, cellular (Part I) and systems (Part II), and used to develop insights into system performance. PART I consists of three chapters focusing on computational ...
Computational neural models at molecular, cellular and behavioral levels : three case studies
(University of Missouri--Columbia, 2009)
Biological findings from molecular, cellular and behavior levels can be difficult to understand functions. Computational tools and systems concepts facilitate integration of information across levels to further understanding ...
Computational models of neuronal fear and addiction circuits
(University of Missouri--Columbia, 2011)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Computational Neuroscience provides tools to abstract and generalize principles of neuronal functions using mathematics, with applicability to the ...
Mechanisms involved in storage of fear in lateral amygdala :a computational study
(University of Missouri--Columbia, 2013)
This thesis reports a computational model of a neuronal circuit and the insights it provided about the formation of fear memory in a specific nucleus of the amygdala after Pavlovian fear conditioning. An earlier study from ...
Plasticity in lateral amygdala after Pavlovian fear conditioning-a computational study
(University of Missouri--Columbia, 2013)
One of the main contributions of the dissertation is an explanation of how and why certain neurons are recruited into a memory trace. For this, we developed a biophysical model of the rodent lateral amygdala (LA) and then ...
Neural systems modeling : three case studies /
(University of Missouri--Columbia, 2017)
Computational neuroscience attempts to reverse engineer brain circuits at the cellular and system levels to better understand the function and behavior of neurons and networks in the brain and body. Mathematical models ...
Omputational perspectives of memory storage and gamma oscillation within the amygdala
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Background and motivation: Survival is a key trait seen in all animal species. To survive, it is necessary to have the ability to associate fear ...
Software automation for research and training in neuroscience
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Research and training in neural science and engineering is increasingly becoming data-intensive due to the need to integrate and analyze voluminous ...