ModelDB: A model of antennal lobe of bee (Chen JY et al. 2015)

A model of antennal lobe of bee (Chen JY et al. 2015)

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Citations

Accession:226471

" ... Here we use calcium imaging to reveal how responses across antennal lobe projection neurons change after association of an input odor with appetitive reinforcement. After appetitive conditioning to 1-hexanol, the representation of an odor mixture containing 1-hexanol becomes more similar to this odor and less similar to the background odor acetophenone. We then apply computational modeling to investigate how changes in synaptic connectivity can account for the observed plasticity. Our study suggests that experience-dependent modulation of inhibitory interactions in the antennal lobe aids perception of salient odor components mixed with behaviorally irrelevant background odors."
Reference:
1 . Chen JY, Marachlian E, Assisi C, Huerta R, Smith BH, Locatelli F, Bazhenov M (2015) Learning modifies odor mixture processing to improve detection of relevant components. J Neurosci 35:179-97 [PubMed]

Model Information (Click on a link to find other models with that property)

Model Type:	Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):	Hodgkin-Huxley neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	C or C++ program;
Model Concept(s):	Learning; Olfaction;
Implementer(s):	Chen, Jen-Yung [chen.jenyung at gmail.com]; Assisi, Collins ;