Sp:AI:ke

Summary

The Sp:AI:ke project aims to develop a full processing chain for neuronal signals from the electrode up to the neuronal decoder.

The system will ultimately recognize movement intentions from brain activity, which can then be used at some point in the future, for example, for prosthesis control (e.g., to neutralize muscle tremors).

Duration

Launch 01.05.2022
Termination 31.04.2024

Objective

Detection of movement intentions from neuronal signals and processing for further use

Related links

Presentation slides of the DeepChip 2023 talk

Project partners

University of Duisburg-Essen

Ruhr University Bochum

Publications

  • Erbslöh, Andreas; Buron, Leo; Ur-Rehman, Zia; Musall, Simon; Hrycak, Camilla; Löhler, Philipp; Klaes, Christian; Seidl, Karsten; Schiele, Gregor
    Technical survey of end-to-end signal processing in BCIs using invasive MEAs
    In: Journal of Neural Engineering, Jg. 21, 2024, Nr. 5, 051003
    DOI
  • Erbslöh, Andreas; Hain, Horst-Udo; Buron, Leo; Vegesna, Sahitya; Schiele, Gregor; Schmidt, Heidemarie
    Comparison of AI-enhanced Spike Sorting with Digital Autoencoders and Analog Memristors
    In: Proceedings of Workshop Biosignals / Workshop Biosignals; 28.02- 01.03.2024; Göttingen / Georg-August-Universität Göttingen (Hrsg.). Göttingen: Georg-August-Universität Göttingen, 2024
    DOI
  • Buron, Leo; Erbslöh, Andreas; Seidl, Karsten; Schiele, Gregor; Seidl, Karsten; Ur-Rehman, Zia; Klaes, Christian
    Deep.Neural.Signal.Pre-Processor-Towards Development of AI-enhanced End-To-End BCIs
    In: Current Directions in Biomedical Engineering, Jg. 9, 2023, Nr. 1, S. 471 – 474
    DOI