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

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.

Model Type: Realistic Network; Extracellular; Synapse; Dendrite; Neuron or other electrically excitable cell

Region(s) or Organism(s): Amygdala

Cell Type(s): Hodgkin-Huxley neuron

Currents: 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

Receptors: AMPA; NMDA; Gaba; Dopaminergic Receptor

Transmitters: Dopamine; Norephinephrine

Model Concept(s): Oscillations; Gamma oscillations; Short-term Synaptic Plasticity

Simulation Environment: NEURON

Implementer(s): Feng, Feng [ffvxb at]


Feng F et al. (2019). Gamma oscillations in the basolateral amygdala: biophysical mechanisms and computational consequences eNeuro.

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.