Auto-adaptive Neuromorphic Brain Machine Interface: toward fully embedded neuroprosthetics

Project Information

NEMO BMI

Grant agreement ID: 101070891

DOI

10.3030/101070891

Project closed

EC signature date 27 June 2022

Start date 1 October 2022

End date 30 September 2025

Funded under

• The European Innovation Council (EIC)

Total cost

€ 3 784 703,75

EU contribution

€ 3 784 703,75

Coordinated by

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (1)

NEMO BMI website and project logo

NEMO BMI website and project logo including information on social media links

Ethics Requirements (1)

OEI - Requirement No. 3

An independent Ethics Advisory Advisor EAB with expertise in ethics of AI is necessary to advice the applicant on how to address the ethics issues raised by the project First EAB report submission should be done in month 6

Documents, reports (1)

Initial plan for dissemination & exploitation, including communication activities

Initial plan for dissemination exploitation including communication activities

Data Management Plan (1)

NEMO BMI Data Management Plan

Publications

Conference proceedings (5)

Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform

Author(s): Dimitar Penkov, Petia Koprinkova-Hristova, Nikola Kasabov, Simona Nedelcheva, Sofiya Ivanovska & Svetlozar Yordanov
Published in: Lecture Notes in Computer Science, Issue 13952, 2024, ISSN 1611-3349
Publisher: Springer
DOI: 10.1007/978-3-031-56208-2_45

On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN

Author(s): Koprinkova-Hristova, P., Penkov, D., Nedelcheva, S., Yordanov, S., & Kasabov, N.
Published in: International Joint Conference on Neural Networks (IJCNN), 2023, ISSN 2161-4407
Publisher: IEEE
DOI: 10.1109/IJCNN54540.2023.10191974

Hierarchical Hidden Markov Model for Online Decoding in Brain-Computer Interface

Author(s): Rémi Souriau, Alexandre Moly, Félix Martel, Lucas Struber, Serpil Karakas, Violaine Juillard, Guillaume Charvet, Tetiana Aksenova
Published in: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024
Publisher: IEEE
DOI: 10.23919/EUSIPCO63174.2024.10715255

Predictors of ECoG-BCI performances across subjects and sessions derived from idle state characteristics

Author(s): Lucas Struber, Félix Martel, Serpil Karakas, Violaine Juillard, Angelina Bellicha, Fabien Sauter-Starace, Stéphan Chabardès, Henri Lorach, Guillaume Charvet, Tetiana Aksenova
Published in: 9th Graz Brain-Computer Interface Conference 2024, 2024, ISBN 978-3-99161-014-4
Publisher: Graz University of Technology
DOI: 10.3217/978-3-99161-014-4-015

Auto-adaptation of ECoG-based motor BCI using neural response decoder: a cross-patient study

Author(s): Hugo Lafaye de Micheaux, Félix Martel, Fabien Sauter-Starace, Guillaume Charvet, Henri Lorach, Tetiana Aksenova
Published in: 9th Graz Brain-Computer Interface Conference 2024, 2024, ISBN 978-3-99161-014-4
Publisher: Graz University of Technology
DOI: 10.3217/978-3-99161-014-4-013