ArticleBrain structure & function2016
Synaptic competition in the lateral amygdala and the stimulus specificity of conditioned fear: a biophysical modeling study.
Article in Brain structure & function, 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.
- Stress disrupts engram ensembles in lateral amygdala to generalize threat memory in mice.Cell · 2025Article
- Article
- Basolateral amygdala oscillations enable fear learning in a biophysical model.bioRxiv : the preprint server for biology · 2024Article
- Amygdalar involvement in respiratory dysfunction.Frontiers in physiology · 2024Review
- Article
- 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
- Adaptive control of synaptic plasticity integrates micro- and macroscopic network function.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Review
- Neural Circuits Underlying Social Fear in Rodents: An Integrative Computational Model.Frontiers in systems neuroscience · 2022Article
- Low-threshold spiking interneurons perform feedback inhibition in the lateral amygdala.Brain structure & function · 2020Article
- Memory engrams: Recalling the past and imagining the future.Science (New York, N.Y.) · 2020Review
- Neuronal competition: microcircuit mechanisms define the sparsity of the engram.Current opinion in neurobiology · 2019Review
- Article
- Memory Allocation: Mechanisms and Function.Annual review of neuroscience · 2018Review
- CREB controls cortical circuit plasticity and functional recovery after stroke.Nature communications · 2018Article
- A neuronal basis for fear discrimination in the lateral amygdala.Nature communications · 2018Article
- Distinct current modules shape cellular dynamics in model neurons.Neuroscience · 2016Article
- Mechanisms underlying the formation of the amygdalar fear memory trace: A computational perspective.Neuroscience · 2016Article
- Biologically based neural circuit modelling for the study of fear learning and extinction.NPJ science of learning · 2016Article
- Limbic Encephalitis: Potential Impact of Adaptive Autoimmune Inflammation on Neuronal Circuits of the Amygdala.Frontiers in neurology · 2015Review
Corrections and comments
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Authors and funding
5 authors.
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Abstract
Competitive synaptic interactions between principal neurons (PNs) with differing intrinsic excitability were recently shown to determine which dorsal lateral amygdala (LAd) neurons are recruited into a fear memory trace. Here, we explored the contribution of these competitive interactions in determining the stimulus specificity of conditioned fear associations. To this end, we used a realistic biophysical computational model of LAd that included multi-compartment conductance-based models of 800 PNs and 200 interneurons. To reproduce the continuum of spike frequency adaptation displayed by PNs, the model included three subtypes of PNs with high, intermediate, and low spike frequency adaptation. In addition, the model network integrated spatially differentiated patterns of excitatory and inhibitory connections within LA, dopaminergic and noradrenergic inputs, extrinsic thalamic and cortical tone afferents to simulate conditioned stimuli as well as shock inputs for the unconditioned stimulus. Last, glutamatergic synapses in the model could undergo activity-dependent plasticity. Our results suggest that plasticity at both excitatory (PN-PN) and di-synaptic inhibitory (PN-ITN and, particularly, ITN-PN) connections are major determinants of the synaptic competition governing the assignment of PNs to the memory trace. The model also revealed that training-induced potentiation of PN-PN synapses promotes, whereas that of ITN-PN synapses opposes, stimulus generalization. Indeed, suppressing plasticity of PN-PN synapses increased, whereas preventing plasticity of interneuronal synapses decreased the CS specificity of PN recruitment. Overall, our results indicate that the plasticity configuration imprinted in the network by synaptic competition ensures memory specificity. Given that anxiety disorders are characterized by tendency to generalize learned fear to safe stimuli or situations, understanding how plasticity of intrinsic LAd synapses regulates the specificity of learned fear is an important challenge for future experimental studies.
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