Feature integration drives probabilistic behavior in Fly escape response (von Reyn et al 2017)

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Accession:230400
"... A Linear Model for Visual Feature Integration in the GF (Drosophila Giant Fiber) Circuit. To test our hypothesis that the GFs linearly integrate the separately encoded features of looming stimulus size and angular velocity, we developed a model to predict GF membrane potential across visual stimuli (Figure 8A). In this four-component model, the GFs linearly sum two excitatory components— non-LC4(Type 4 lobula columnar neurons)-mediated angular size excitation and LC4-mediated angular velocity excitation—and two inhibitory components— non-LC4- and LC4-mediated angular size inhibition."
Reference:
1 . von Reyn CR, Nern A, Williamson WR, Breads P, Wu M, Namiki S, Card GM (2017) Feature Integration Drives Probabilistic Behavior in the Drosophila Escape Response. Neuron 94:1190-1204.e6 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism: Drosophila;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s):
Implementer(s): von Reyn, Catherine [crv33 at drexel.edu];
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