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Network Analysis of the Molecular Layer Interneurons in the Cerebellum

Lidström, Carolina (2013)
Department of Automatic Control
Abstract
The cerebellum is important for the control of movements, speech as well as mental activities. In the molecular layer of the cerebellum there exist interneurons which role in the cerebellar neural network is not yet fully understood. In this thesis, these interneurons are simulated by mathematical models in order to investigate their connectivity attern. Further, the input/output behavior of a delimited part of their neural circuit, with and without a biologically elevant feedback loop, is investigated. The interneurons are simulated by the Leaky integrate and Fire model in combination with the Escape Rate model in Spanne’s Simulation Environment.

Connectivity patterns that recreate the behavior of the molecular layer interneurons in... (More)
The cerebellum is important for the control of movements, speech as well as mental activities. In the molecular layer of the cerebellum there exist interneurons which role in the cerebellar neural network is not yet fully understood. In this thesis, these interneurons are simulated by mathematical models in order to investigate their connectivity attern. Further, the input/output behavior of a delimited part of their neural circuit, with and without a biologically elevant feedback loop, is investigated. The interneurons are simulated by the Leaky integrate and Fire model in combination with the Escape Rate model in Spanne’s Simulation Environment.

Connectivity patterns that recreate the behavior of the molecular layer interneurons in vivo are found, motivated by the comparison tools used in this thesis. In these connectivity patterns, five groups of interneurons are connected to each other as one creates the shape of a star. The delimited network with these connectivity patterns are suggestively non-linear. They delay and flip their input in order to create their output, with some affect on the shape of the signal. Most probably, the function of the feedback loop is to control the strength and length in time of the output of the cerebellum. (Less)
Please use this url to cite or link to this publication:
author
Lidström, Carolina
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
ISSN
0280-5316
other publication id
ISRN LUTFD2/TFRT--5916--SE
language
English
additional info
month=may
id
3812555
date added to LUP
2013-06-14 10:44:45
date last changed
2013-06-14 10:57:58
@misc{3812555,
  abstract     = {The cerebellum is important for the control of movements, speech as well as mental activities. In the molecular layer of the cerebellum there exist interneurons which role in the cerebellar neural network is not yet fully understood. In this thesis, these interneurons are simulated by mathematical models in order to investigate their connectivity attern. Further, the input/output behavior of a delimited part of their neural circuit, with and without a biologically elevant feedback loop, is investigated. The interneurons are simulated by the Leaky integrate and Fire model in combination with the Escape Rate model in Spanne’s Simulation Environment.

Connectivity patterns that recreate the behavior of the molecular layer interneurons in vivo are found, motivated by the comparison tools used in this thesis. In these connectivity patterns, five groups of interneurons are connected to each other as one creates the shape of a star. The delimited network with these connectivity patterns are suggestively non-linear. They delay and flip their input in order to create their output, with some affect on the shape of the signal. Most probably, the function of the feedback loop is to control the strength and length in time of the output of the cerebellum.},
  author       = {Lidström, Carolina},
  issn         = {0280-5316},
  language     = {eng},
  note         = {Student Paper},
  title        = {Network Analysis of the Molecular Layer Interneurons in the Cerebellum},
  year         = {2013},
}