Hybrid Neural Interfaces (organized by UM)
Hybrid neural interfaces and their use in different
applications scenarios:
July 8th - 12th 2024.
Summer schools
Movement augmentation (organized by IMPERAL)
State of the art in augmenting the natural human movements by using hybrid neural interfaces and technologies. Coming in 2025!
Workshops
Invasive interfaces
Invasive interfaces for acquiring and processing muscle data, and methods to investigate neuromuscular coupling. Organized at Chalmers Technical University in 2024!
HybridNeuro final workshop in Maribor, Slovenia
Coming in 2025!
MOOC: Hybrid Neuroscience
MOOC on Hybrid neuroscience
Coming in 2025!
Webinars
Technology Transfer Skills
Customer Discovery and Market Research
Coming in 2025!
Technology Transfer Skills
Intellectual Property Protection
Coming in 2025!
Technology Transfer Skills
Regulatory Strategies in Europe
Coming in 2025!
Soft Skills
Communication and Management
Coming in 2025!
HybridNeuro Hub
Deliverables
Coming soon
Publications
-
Kutoš L.; Škarabot J.; Holobar A. Identifikacija gruč neločljivih motoričnih enot iz večkanalnih površinskih elektromiogramov dvoglave nadlahtne mišice, 32th International Electrotechnical and Computer Science Conference ERK 2023, September 2023.
-
Murks N.; Škarabot J.; Kramberger M.; Sedej G.; Valenčič T.; Connelly C. D.; Thomason H.; Divjak M.; Holobar A.; On time effectiveness of manual editing of motor unit spike trains, ISEK XXIV. [S. l.]: International Society of Electrophysiology and Kinesiology, 2024, p. 79.
-
Kutoš L.; Divjak M.; Holobar A.; Activity index outperforms cumulative spike train and amplitude envelopes in surface EMG coherence analysis, ISEK XXIV. [S. l.]: International Society of Electrophysiology and Kinesiology, 2024, p. 81.
-
Kutoš L.; Kalc M.; Kramberger M.; Urh F.; Holobar A.; On the efficacy of coherence-based assessment of functional coupling between pools of motor units, 33th International Electrotechnical and Computer Science Conference ERK 2024, September 2024.
-
Murks N.; Škarabot J.; Kramberger M.; Sedej G.; Valenčič T.; Connely, C. D.; Thomason H.; Divjak M.; Holobar A.; Motor unit editing time in high-density EMG decomposition decreases with the operator's experience and pulse-to-noise ratio but does not depend on simulated muscle, 33th International Electrotechnical and Computer Science Conference ERK 2024, September 2024.
