The lateral nucleus of amygdala (LA) is known to be a critical storage site for conditioned fear memory. Synaptic plasticity at auditory inputs to the dorsal LA (LAd) is critical for the formation and storage of auditory fear memories. Recent evidence suggests that two different cell populations (transient- and long-term plastic cells) are present in LAd and are responsible for fear learning. However, the mechanisms involved in the formation and storage of fear are not well understood. As an extension of previous work, a biologically realistic computational model of the LAd circuitry is developed to investigate these mechanisms. The network model consists of 52 LA pyramidal neurons and 13 interneurons. Auditory and somatosensory information reaches LA from both thalamic and cortical inputs. The model replicated the tone responses observed in the two LAd cell populations during conditioning and extinction. The model provides insights into the role of thalamic and cortical inputs in fear memory formation and storage.
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ASME 2010 Dynamic Systems and Control Conference
September 12–15, 2010
Cambridge, Massachusetts, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4417-5
PROCEEDINGS PAPER
Acquisition of Fear and Extinction in Lateral Amygdala: A Modeling Study
Sandeep Pendyam,
Sandeep Pendyam
University of Missouri, Columbia, MO
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Dongbeom Kim,
Dongbeom Kim
University of Missouri, Columbia, MO
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Gregory J. Quirk,
Gregory J. Quirk
University of Puerto Rico School of Medicine, San Juan, Puerto Rico
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Satish S. Nair
Satish S. Nair
University of Missouri, Columbia, MO
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Sandeep Pendyam
University of Missouri, Columbia, MO
Dongbeom Kim
University of Missouri, Columbia, MO
Gregory J. Quirk
University of Puerto Rico School of Medicine, San Juan, Puerto Rico
Satish S. Nair
University of Missouri, Columbia, MO
Paper No:
DSCC2010-4218, pp. 413-420; 8 pages
Published Online:
January 25, 2011
Citation
Pendyam, S, Kim, D, Quirk, GJ, & Nair, SS. "Acquisition of Fear and Extinction in Lateral Amygdala: A Modeling Study." Proceedings of the ASME 2010 Dynamic Systems and Control Conference. ASME 2010 Dynamic Systems and Control Conference, Volume 1. Cambridge, Massachusetts, USA. September 12–15, 2010. pp. 413-420. ASME. https://doi.org/10.1115/DSCC2010-4218
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