ArticleNeuroscience2016
Mechanisms underlying the formation of the amygdalar fear memory trace: A computational perspective.
Article in Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 34 citations in OpenAlex.
- Regulation of amygdala and dopamine system in naïve and chronic alcohol states.Alcohol (Fayetteville, N.Y.) · 2026Article
- Aversion Encoding and Behavioral State Modulation of Physiologically Defined Cell Types in the Lateral Habenula.The European journal of neuroscience · 2025Article
- Basal forebrain innervation of the amygdala: an anatomical and computational exploration.Brain structure & function · 2025Article
- Stress disrupts engram ensembles in lateral amygdala to generalize threat memory in mice.Cell · 2025Article
- Microcircuitry and oscillation features across model cortical regions.The ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems · 2025Article
- Synaptic acetylcholine induces sharp wave ripples in the basolateral amygdala through nicotinic receptors.bioRxiv : the preprint server for biology · 2024Article
- Computational modeling of fear and stress responses: validation using consolidated fear and stress protocols.Frontiers in systems neuroscience · 2024Article
- Reverse engineering information processing in lateral amygdala during auditory tones.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2023Article
- The neural foundation of associative memory: a dynamic functional connectivity study for right-handed young adults.Experimental brain research · 2021Article
- Microcircuit mechanisms for the generation of sharp-wave ripples in the basolateral amygdala: A role for chandelier interneurons.Cell reports · 2021Article
- A Computational Model Integrating Multiple Phenomena on Cued Fear Conditioning, Extinction, and Reinstatement.Frontiers in systems neuroscience · 2020Article
- A model of amygdala function following plastic changes at specific synapses during extinction.Neurobiology of stress · 2019Article
- Neuronal competition: microcircuit mechanisms define the sparsity of the engram.Current opinion in neurobiology · 2019Review
- Synaptic encoding of fear memories in the amygdala.Current opinion in neurobiology · 2019Review
- Article
- Memory Allocation: Mechanisms and Function.Annual review of neuroscience · 2018Review
- Distinct current modules shape cellular dynamics in model neurons.Neuroscience · 2016Article
- Biologically based neural circuit modelling for the study of fear learning and extinction.NPJ science of learning · 2016Article
- Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.