ModelDB: Gamma genesis in the basolateral amygdala (Feng et al 2019)

Gamma genesis in the basolateral amygdala (Feng et al 2019)

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Accession:247968

Using in vitro and in vivo data we develop the first large-scale biophysically and anatomically realistic model of the basolateral amygdala nucleus (BL), which reproduces the dynamics of the in vivo local field potential (LFP). Significantly, it predicts that BL intrinsically generates the transient gamma oscillations observed in vivo. The model permitted exploration of the poorly understood synaptic mechanisms underlying gamma genesis in BL, and the model's ability to compute LFPs at arbitrary numbers of recording sites provided insights into the characteristics of the spatial properties of gamma bursts. Furthermore, we show how gamma synchronizes principal cells to overcome their low firing rates while simultaneously promoting competition, potentially impacting their afferent selectivity and efferent drive, and thus emotional behavior.
Reference:
1 . Feng F, Headley DB , Amir A, Kanta V, Chen Z, Pare D, Nair S (2019) Gamma oscillations in the basolateral amygdala: biophysical mechanisms and computational consequences eNeuro

Model Information (Click on a link to find other models with that property)

Model Type:	Realistic Network; Extracellular; Synapse; Dendrite; Neuron or other electrically excitable cell;
Brain Region(s)/Organism:	Amygdala;
Cell Type(s):	Hodgkin-Huxley neuron;
Channel(s):	I Na,t; I L high threshold; I A; I M; I Sodium; I Calcium; I Potassium; I_AHP; Ca pump; I h; I Na,p; I K;
Gap Junctions:	Gap junctions;
Receptor(s):	AMPA; NMDA; Gaba; Dopaminergic Receptor;
Gene(s):
Transmitter(s):	Dopamine; Norephinephrine;
Simulation Environment:	NEURON;
Model Concept(s):	Oscillations; Gamma oscillations; Short-term Synaptic Plasticity;
Implementer(s):	Feng, Feng [ffvxb at mail.missouri.edu];