Publications related to The Effect of User Learning for Online Eeg Decoding of Upper-limb Movement Intention

Related publications (5)

Magnesium Test: Universal and Ultra-Sensitive Method for Measuring Reliability of Thin-Film-Encapsulated Bioelectronic Implants in Physiological Environment

Lucas Aurélien Jourdan, Yves Leterrier, Stéphanie Lacour, Grégoire Courtine, Ivan Furfaro, Claudia Kathe, Massimo Mariello, Lei Wang, Kangling Wu, Marion Bianca Cleusix, Kosuke Ayama

Next-generation bioelectronic implants require miniaturization, durability, and long-term functionality. Thin film encapsulations, prepared with inorganic or hybrid organic/inorganic designs, are essential for ensuring protection, low water permeation, ada ...

Wiley-V C H Verlag Gmbh2024

Decoding Lower Limb Motor Attempts from EEG Signals in a Spinal Cord Injury Patient with Epidural Electrical Implant

Silvestro Micera, Vincent Alexandre Mendez, Leonardo Pollina, Valeria De Seta

Epidural electrical stimulation (EES) has been employed to restore motor functions in the lower limbs of patients with spinal cord injuries (SCIs). However, non-invasive methods for controlling this stimulation have not yet been explored. This study aims t ...

Springer Science and Business Media Deutschland GmbH2024

Colloidal self-assembly of soft neural interfaces from injectable photovoltaic microdevices

Mahmut Selman Sakar, Zhangjun Huang, Murat Kaynak, Haiyan Jia

Biomimetic retinas with a wide field of view and high resolution are in demand for neuroprosthetics and robot vision. Conventional neural prostheses are manufactured outside the application area and implanted as a complete device using invasive surgery. He ...

2023

Consensus Paper: Novel Directions and Next Steps of Non-invasive Brain Stimulation of the Cerebellum in Health and Disease

Maximilian Jonas Wessel

The cerebellum is involved in multiple closed-loops circuitry which connect the cerebellar modules with the motor cortex, prefrontal, temporal, and parietal cortical areas, and contribute to motor control, cognitive processes, emotional processing, and beh ...

2022

Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

David Pascucci

We describe the multimodal neuroimaging dataset VEPCON (OpenNeuro Dataset ds003505). It includes raw data and derivatives of high-density EEG, structural MRI, diffusion weighted images (DWI) and single-trial behavior (accuracy, reaction time). Visual evoke ...

2022