Locust olfactory network with GGN and full KC population in the mushroom body (Ray et al 2020)


We reconstructed the GGN (giant GABAergic neuron) morphology from 3D confocal image stack, and built a passive model based on the morphology to study signal attenuation across this giant neuron. In order to study the effect of feedback inhibition from this cell on odor information processing, we created a model of the olfactory network in the locust mushroom body with 50,000 KCs (Kenyon cell) reciprocally connected to this neuron. Finally, we added a model of the IG (Inhibitor of GGN) to reproduce in vivo odor responses in GGN.

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

Region(s) or Organism(s): Mushroom body; Locust

Cell Type(s): Honeybee kenyon cell; Abstract Izhikevich neuron; Locust Giant GABAergic Neuron (GGN)

Transmitters: Gaba; Acetylcholine

Model Concept(s): Olfaction; Sensory processing

Simulation Environment: NEURON

Implementer(s): Ray, Subhasis [ray.subhasis at gmail.com]

References:

Ray S, Aldworth ZN, Stopfer MA. (2020). Feedback inhibition and its control in an insect olfactory circuit. eLife. 9 [PubMed]


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