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Identifier |
000401280 |
Title |
A computational study of the single cell and network properties differentiating the response of mitral and tufted cells of the olfactory bulb |
Alternative Title |
Υπολογιστική μελέτη των παραμέτρων σε επίπεδο κυττάρου και δικτύου που διαφοροποιούν την απόκριση των μητροειδών και θυσανωτών κυττάρων του οσφρητικού βολβού |
Author
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Γενιτσαρίδη, Ελένη
|
Thesis advisor
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Ποϊράζη , Παναγιώτα
|
Abstract |
Olfactory perception is an important sense for humans and other animals
with unique characteristics. Odor related information is transduced by olfactory
sensory neurons located in the nasal epithelium and this information is
transmitted to the olfactory bulb. Projection neurons of the olfactory bulb
further transmit this information to other brain areas of the olfactory system.
The olfactory bulb, however, is not just a relay station. The strict
spatial organization, the large number of local interneurons and the diversity
of projection neurons are indicative of an active role in the processing of odor
information.
Projections neurons of the olfactory bulb can be categorized into two distinct
populations, namely the mitral and tufted cells, regarding morphological,
biophysical and synaptic properties. Although the existence of distinct
subtypes of projection neurons in the olfactory bulb is known for decades,
the responsible mechanisms and their functional implications remain elusive.
In this study we used in silico models to investigate the role of single-cell and
network properties in differentiating the response of mitral and tufted cells
to an odor input. Using the NEURON simulation environment we developed
two parallel non-overlapping networks of the olfactory bulb, the mitral and
the tufted networks. Our results from stimulating the networks with different
input patters are in agreement with the view that the two networks use
different coding schemes to encode different aspects of odor information.
|
Language |
English |
Subject |
Computational neurosciences |
|
Υπολογιστικές νευροεπιστήμες |
Issue date |
2016-07-19 |
Collection
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School/Department--School of Medicine--Department of Medicine--Post-graduate theses
|
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Type of Work--Post-graduate theses
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Views |
186 |