" ... 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."
Model Type: Realistic Network
Cell Type(s): Hodgkin-Huxley neuron
Model Concept(s): Learning; Olfaction
Simulation Environment: C or C++ program
Implementer(s): Chen, Jen-Yung [chen.jenyung at gmail.com]; Assisi, Collins
References:
Chen JY et al. (2015). Learning modifies odor mixture processing to improve detection of relevant components. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]