Network Analysis of the Molecular Layer Interneurons in the Cerebellum
(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:
http://lup.lub.lu.se/student-papers/record/3812555
- author
- Lidström, Carolina
- supervisor
- organization
- year
- 2013
- 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}},
}