Paper Info
Title
Signal-induced selection among spontaneous oscillatory patterns in a model of honeybee olfactory glomeruli.
Abstract
Do the oscillations observed in many neural assemblies have a cognitive significance? We investigate this question by mathematical modeling of the honeybee's olfactory glomeruli, which are a subsystem of the antennal lobe nervous network, involved in food odor recognition during foraging behavior. Our computations reveal spontaneous oscillations. In those units where they manifest themselves, however, application of input signals modulate only slightly the autonomous activity: thus, an intense, synchronized oscillatory background tends to hinder odor discrimination. In contrast, where and when spontaneous oscillations are repressed, due to low excitability, different input signals will re-excite selectively distinct subsets of spontaneous oscillatory modes. These observations agree well with experimental findings and suggest new, quantitative experiments. They further indicate a possible role for the modulation and differential activation of endogenous oscillations in odor identification and possibly in other cognitive activities subserved e.g. by the mammalian cortex.
Year
DOI
Venue
1995
10.1007/BF00199891
Biological Cybernetics
Keywords
Field
DocType
Input Signal,Oscillatory Mode,Antennal Lobe,Autonomous Activity,Distinct Subset
Cortex (botany),Neuroscience,Odor discrimination,Odor,Neural ensemble,Antennal lobe,Mathematics
Journal
Volume
Issue
ISSN
72
6
0340-1200
Citations 
PageRank 
References 
3
2.07
3
Authors
2
Name
Order
Citations
PageRank
Michel Kerszberg1125.50
Claudine Masson2147.84