Balancing Long-term Plasticity Mechanisms at the Purkinje Cell in the Olivocerebellar System

Master thesis (2020)

Authors

T. Hoedemakers Mechanical Engineering

Contributors

Mario Negrello Erasmus MC (mentor)
L. Peternel Human-Robot Interaction - Mechanical, Maritime and Materials Engineering (mentor)
David Abbink Human-Robot Interaction - Mechanical, Maritime and Materials Engineering (graduation committee member)
M. Jafarian Team Bart De Schutter - Mechanical, Maritime and Materials Engineering (graduation committee member)
Faculty
Mechanical Engineering, Mechanical Engineering
Copyright: © 2020 Thijs Hoedemakers
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Published Date

22-10-2020

Language

English

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Faculty

Mechanical Engineering

Abstract

The olivocerebellar system plays a crucial role in control of movements of the human body in terms of coordination, precision and timing. Long-term plasticity is directly linked to motor learning and control. In this research, we developed a phenomenological model of the olivocerebellar system with balancing of long-term potentiation (LTP) and long-term depression (LTD) at the parallel fiber-Purkinje cell (PF-PC) synapse. By ranging the PF input over frequencies, we found that PCs can select frequencies in a highly non-linear manner. There is a sharp contrast in synaptic weight change between neighbouring frequencies, which is caused by the temporal spiking property of the inferior olive (IO) cell. This research found a novel signal processing capability of the PC.

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