Neuronal phase locked loops: models and circuits

Tiemens, Tesse (2023) Neuronal phase locked loops: models and circuits. Bachelor's Thesis, Applied Physics.

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Abstract

Recent studies have shown that we do not only sense textures of materials spatially, but also temporally. By sliding our skin past a texture, vibrations are induced, the peaks of which are directly represented by spikes in the brain. To decode the frequencies in these signals, a neuronal version of a phase locked loop has been proposed, the Spiking Phased-Locked Loop (sPLL). This sPLL was redesigned using readily available building blocks, and later implemented in a CMOS chip. For this thesis, this implementation was tested, both in simulation and on-chip, and it was found that the circuit is capable of both single- and dual-frequency detection under idealized circumstances. A qualitative theory for modelling the behaviour of the Spiking Phased-Locked Loop (sPLL) was developed, tested, and found to accurately predict the behaviour of the circuit. Furthermore, based on this theory, an improved version of the sPLL was designed, which was tested using python simulations and found to have greater phase- and output stability than the original sPLL. Finally, a possible way forward towards a quantitative model of the sPLL, based on event-triggered control theory, was discussed.

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	Chicca, E. and Besselink, B.
Degree programme:	Applied Physics
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	12 Jul 2023 07:12
Last Modified:	12 Jul 2023 07:12
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/30514

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