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Data underlying the PhD thesis: Multimodal Neural Interfaces - Design Principles and Technologies for Concurrent Electro-Acoustic Neuromodulation and Functional Assessment - CH3

Year: 2026
Type: dataset
Abstract: This dataset contains the LTspice simulation files, intan RHD recording files, and code used to investigate the mechanisms of stimulation artefact (SA) reduction by electrode configuration and recording instrumentation. The peripheral nerve setup and the corresponding circuit topologies were modelled using simplified lumped-element models in LTspice, with each electrode represented by a first-order electrical model (Randles circuit).The dataset enables reproduction of the simulation and recording results and the figures derived from them, specifically Figures 3.3 to 3.7 of the PhD thesis Multimodal Neural Interfaces – Combining Electrical and Ultrasound Modalities by Raphael Panskus. The complete modelling methodology, assumptions, circuit topologies, parameter definitions, and analysis procedures are described in the thesis, available through the TU Delft Repository (https://repository.tudelft.nl). Users should consult the thesis for the full methodological context required to interpret and reproduce the results.
Language: English
Open Access status: green
Award: G210339592
OpenAlex ID: W7204269439
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