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Network activity arising from optimal diameters of neuronal processes

Abstract

dc:description.abstract

Electrical coupling provides an important pathway for signal transmission between neurons. In several regions of the mammalian brain electrical synapses have been detected, and their role in the synchronization of neural networks and the generation of oscillations has been studied theoretically. Recently, it has been found that the amplitude of the postsynaptic potential is maximized for a specific diameter of the postsynaptic fiber. In this thesis, the impact of the fiber's diameter on the success or failure of the action potential initiation and propagation is studied theoretically. Systems of two coupled neurons, as well as small networks, are investigated. The passive and voltage-dependent properties of the neurons are implemented using compartment modeling. The results of the simulations show that for neurons with non-branching dendrites an action potential is initiated only for a specific, optimal diameter. In contrast, for neurons with branching structures the signal transmission improves monotonically with increasing diameter. By studying a model network with a ring architecture it is demonstrated that network activity crucially depends on the diameter of the coupled fibers.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Computational Biology - (M.S.)
Discipline thesis:degree_discipline
Computer Science
Year
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gansert, Juliane
Contributors dc:contributor
  • Farzan Nadim
  • Jason T. L. Wang
  • Qun Ma

Subjects

dc:subject × 6

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/424
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1423

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Gansert, Juliane. Network activity arising from optimal diameters of neuronal processes. 2006. https://digitalcommons.njit.edu/theses/424