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A model of antennal lobe of bee (Chen JY et al. 2015)
 
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Model Information
Model File
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 ;
/
chen-2015
README.html
C_LN.txt
C_LNLN.txt
C_LNPN.txt
C_PN.txt
C_PNLN.txt
C_PNPN.txt
input27
Makefile
neur27.cxx
plotit.m
rk.cxx
screenshot.png
time_Hz100Syn200
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