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a computational study

dc.contributor.advisorNair, Satish S., 1960-eng
dc.contributor.authorJiang, Chaoeng
dc.date.issued2013eng
dc.date.submitted2013 Falleng
dc.description"December 2013."eng
dc.description"A Thesis presented to the Faculty of the Graduate School University of Missouri--Columbia In Partial Fulfillment of the Requirements for the Degree Master of Science."eng
dc.descriptionDissertation supervisor: Dr. Satish S. Nair.eng
dc.description.abstractThis 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 our group used a 1000-cell biophysical model of a rodent lateral amygdala and provided a preliminary explanation of how and why certain neurons might be recruited into a memory trace. In the present model we extended the work to investigate the specific roles of the mechanisms involved (intrinsic excitability of cell, afferent tone and shock, neuromodulator receptors, and intrinsic excitatory and inhibitory connections). We first proposed an improved criterion to define 'plastic' cells after recognizing that the Repa criterion used to classify plastic cells favored several principal cells with very low firing rates, which is possibly not biologically realistic. Using the improved criterion, we were able to replicate the development of the two distinct Repa cell populations after fear conditioning. The model suggested that the most important factor was the intrinsic excitability of the cell, i.e., highly excitable cells had a much higher probability of being recruited into the fear memory trace. Although afferent tone and shock were required for a cell to be plastic, the presence of neuromodulator receptors, and the numbers of intrinsic excitatory and di-synaptic inhibitory connections a cell received also played important roles. Finally, we varied the size of the network and internal connectivity among principal cells in the model to study their impact on competition, and found that small networks and reduced connectivity also performed equally well, providing valuable insights for memory formation.eng
dc.description.bibrefIncludes bibliographical references (pages 55-58).eng
dc.format.extent1 online resource (ix, 136 pages) : illustrations (some color)eng
dc.identifier.oclc900090379eng
dc.identifier.urihttps://hdl.handle.net/10355/44705
dc.identifier.urihttps://doi.org/10.32469/10355/44705eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.sourceSubmitted by the University of Missouri--Columbia Graduate Schooleng
dc.titleMechanisms involved in storage of fear in lateral amygdala :eng
dc.titlea computational studyeng
dc.typeThesiseng
thesis.degree.disciplineElectrical and computer engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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