LGMD with 3D morphology and active dendrites (Dewell & Gabbiani 2018)

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This is a model of the locust LGMD looming sensitive neuron from Dewell & Gabbiani 2018. The morphology was constructed based on 2-photon imaging, and active conductances throughout the neuron were based on sharp electrode recordings in vivo.
1 . Dewell RB, Gabbiani F (2018) Biophysics of object segmentation in a collision-detecting neuron. Elife [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Locust Lobula Giant Movement Detector (LGMD) neuron;
Channel(s): I M; I h; Ca pump; I K,Ca; I T low threshold; I_KD;
Gap Junctions:
Simulation Environment: NEURON;
Model Concept(s): Active Dendrites; Synaptic Integration; Spatio-temporal Activity Patterns; Vision;
Implementer(s): Dewell, Richard Burkett [dewell at bcm.edu]; Gabbiani, F;
Search NeuronDB for information about:  I T low threshold; I M; I h; I K,Ca; I_KD; Ca pump;

esynfile = "excsyn_50_158_2_0_onsetTimes.hoc"
isynfile = "inhsyn_50_158_2_0_onsetTimes.hoc"

simsecs = new SectionList()
MakeSecList( simsecs,"soma[0]","Handle[30]","MainTrunk[0]","FieldC[15]","Tines[621]")

esyn = new List()
isyn = new List()

tstop = 5300
vplot( simsecs )
shapeplot("cai", 6e-3, 0 )

visualstim( 0, 0, simsecs )

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