[2026] Evaluating post-processing for spike detectability in neuron-on-chip (NoC) recordings

Assignment

Aims:

•Evaluate post-processing strategies for improving spike detectability and channel consistency in NoC recordings

•(Optional) Explore the relation between electrode electrical properties and spike detectability

Works:

•Characterization of signal components in NoC recordings (spike, noise, artifact)

•Application and evaluation of post-processing methods (filtering, denoising, artifact suppression)

•Quantification of spike detectability and channel-to-channel variability

•(Optional) Measurement of electrode electrical properties (e.g. impedance) and correlation analysis

Scientific problem:

•What components constitute NoC recording signals?

•Can these components be separated, suppressed, or extracted by post-processing?

•(Optional) Are channel-to-channel differences in spike detectability correlated with electrode electrical properties?

Requirements

Interested students should contact Dr. Vasiliki Giagka by sending an email expressing their interest in the project. The email should also contain the following: CV, list of courses you have attended so far and grades obtained, courses you are planning to take in the future, and more importantly a motivation letter explaining why you are interested in the project.

Contact

Last modified: 2026-02-18