Literature DB >> 26944604

Mechanisms underlying the formation of the amygdalar fear memory trace: A computational perspective.

F Feng1, P Samarth1, D Paré2, S S Nair3.   

Abstract

Recent experimental and modeling studies on the lateral amygdala (LA) have implicated intrinsic excitability and competitive synaptic interactions among principal neurons (PNs) in the formation of auditory fear memories. The present modeling studies, conducted over an expanded range of intrinsic excitability in the network, revealed that only excitable PNs that received tone inputs participate in the competition. Strikingly, the number of model PNs integrated into the fear memory trace remained constant despite the much larger range considered, and model runs highlighted several conditioning-induced tone responsive characteristics of the various PN populations. Furthermore, these studies showed that although excitation was important, disynaptic inhibition among PNs is the dominant mechanism that keeps the number of plastic PNs stable despite large variations in the network's excitability. Finally, we found that the overall level of inhibition in the model network determines the number of projection cells integrated into the fear memory trace.
Copyright © 2016 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  biophysical model; hebbian learning; sparse coding

Mesh:

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Year:  2016        PMID: 26944604      PMCID: PMC4805477          DOI: 10.1016/j.neuroscience.2016.02.059

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  35 in total

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2.  Heterosynaptic long-term potentiation of inhibitory interneurons in the lateral amygdala.

Authors:  Elizabeth P Bauer; Joseph E LeDoux
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Authors:  Jin-Hee Han; Steven A Kushner; Adelaide P Yiu; Hwa-Lin Liz Hsiang; Thorsten Buch; Ari Waisman; Bruno Bontempi; Rachael L Neve; Paul W Frankland; Sheena A Josselyn
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4.  Projection neurons of the lateral amygdaloid nucleus are virtually silent throughout the sleep--waking cycle.

Authors:  H Gaudreau; D Paré
Journal:  J Neurophysiol       Date:  1996-03       Impact factor: 2.714

5.  The amygdala is essential for the development of neuronal plasticity in the medial geniculate nucleus during auditory fear conditioning in rats.

Authors:  S Maren; S A Yap; K A Goosens
Journal:  J Neurosci       Date:  2001-03-15       Impact factor: 6.167

6.  Synaptic competition in the lateral amygdala and the stimulus specificity of conditioned fear: a biophysical modeling study.

Authors:  D Kim; P Samarth; F Feng; D Pare; Satish S Nair
Journal:  Brain Struct Funct       Date:  2015-04-10       Impact factor: 3.270

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8.  An electrophysiological characterization of ventral tegmental area dopaminergic neurons during differential pavlovian fear conditioning in the awake rabbit.

Authors:  F A Guarraci; B S Kapp
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9.  Design of a neurally plausible model of fear learning.

Authors:  Franklin B Krasne; Michael S Fanselow; Moriel Zelikowsky
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Journal:  PLoS Comput Biol       Date:  2011-03-17       Impact factor: 4.475

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Review 1.  Synaptic encoding of fear memories in the amygdala.

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3.  Gamma Oscillations in the Basolateral Amygdala: Biophysical Mechanisms and Computational Consequences.

Authors:  Feng Feng; Drew B Headley; Alon Amir; Vasiliki Kanta; Ziao Chen; Denis Paré; Satish S Nair
Journal:  eNeuro       Date:  2019-02-05

4.  A model of amygdala function following plastic changes at specific synapses during extinction.

Authors:  Maxwell R Bennett; Les Farnell; William G Gibson; Jim Lagopoulos
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5.  Microcircuit mechanisms for the generation of sharp-wave ripples in the basolateral amygdala: A role for chandelier interneurons.

Authors:  Madhusoothanan B Perumal; Benjamin Latimer; Li Xu; Peter Stratton; Satish Nair; Pankaj Sah
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Authors:  Satish S Nair; Denis Paré; Aleksandra Vicentic
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