Basolateral amygdala oscillations enable fear learning in a biophysical model

The basolateral amygdala (BLA) is a key site where fear learning takes place through synaptic plasticity. Rodent research shows prominent low theta (∼3-6 Hz), high theta (∼6-12 Hz), and gamma (>30 Hz) rhythms in the BLA local field potential recordings. However, it is not understood what role these rhythms play in supporting the plasticity. Here, we create a biophysically detailed model of the BLA circuit to show that several classes of interneurons (PV, SOM, and VIP) in the BLA can be critically involved in producing the rhythms; these rhythms promote the formation of a dedicated fear circuit shaped through spike-timing-dependent plasticity. Each class of interneurons is necessary for the plasticity. We find that the low theta rhythm is a biomarker of successful fear conditioning. The model makes use of interneurons commonly found in the cortex and, hence, may apply to a wide variety of associative learning situations., , , # Title of Dataset: Basolateral amygdala oscillations enable fear learning in a biophysical model

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This repository contains the simulated data used to generate the figures presented in \"Basolateral amygdala oscillations enable fear learning in a biophysical model\" by Anna Cattani, Don B Arnold, Michelle McCarthy, Nancy Kopell ([https://doi.org/10.7554/eLife.89519.1](https://doi.org/10.7554/eLife.89519.1))

## File structure and Data description

Types of neurons in the network:

* ECS: pyramidal cell encoding the CS input
* PN: pyramidal cell encoding the US input
* VIP: vasoactive intestinal peptide-expressing interneuron
* SOM: somatostatin-expressing interneuron
* PV: parvalbumin-expressing interneuron
* PYRCS: auxiliary pyramidal cell receiving CS
* PYRUS: auxiliary pyramidal cell receiving US

### SINGLE NEURON NETWORK: \"Data\_Fig3\" and \"Data\_Fig4\"

\"Data_Fig3\" and \"Data_Fig4\" contains text files named \"`singleneuronnet_cond1_stim3_exp...rule1..._numtrial.txt`\". More specific...