Publication
The present and future of neural interfaces
Related publications (67)
33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes
Mahsa Shoaran, Uisub Shin, Gregor Rainer, Mohammad Ali Shaeri, Amitabh Yadav
Recently, cutting-edge brain-machine interfaces (BMIs) have revealed the potential of decoders such as recurrent neural networks (RNNs) in predicting attempted handwriting [1] or speech [2], enabling rapid communication recovery after paralysis. However, c ...
IEEE2024Miniaturised, Wireless and Distributed Neural Interface Toward Cortical Visual Prosthesis
Over the last decades, implantable neural interfaces have been extensively explored and effectively deployed to address neurological and mental health disorders. The existing solutions present several limitations. Firstly, the physical size of the implanta ...
EPFL2023Development of a Transient Neural Interface for Minimally Invasive Recording and Stimulation
Transient electronics enabling devices to safely disappear in the environment can be applied not only in green electronics, but also in bioelectronic medicine. Neural implants able to degrade harmlessly inside the body eliminate the need for removal surger ...
EPFL2022Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques
Objective. Accurate decoding of individual finger movements is crucial for advanced prosthetic control. In this work, we introduce the use of Riemannian-space features and temporal dynamics of electrocorticography (ECoG) signal combined with modern machine ...
IOP Publishing Ltd2022Mind blanking is a distinct mental state linked to a recurrent brain profile of globally positive connectivity during ongoing mentation
Dimitri Nestor Alice Van De Ville, Sepehr Mortaheb
Mind blanking (MB) is a waking state during which we do not report any mental con-tent. The phenomenology of MB challenges the view of a constantly thinking mind. Here, we comprehensively characterize the MB's neurobehavioral profile with the aim to deline ...
NATL ACAD SCIENCES2022Motor state transitions and Breathing in Brain Machine Interfaces
Brain-Machine interfaces aim to create a direct neural link between user's brain and machines. This goal has pushed scientists to investigate a large spectrum of applications in the realm of assistive and rehabilitation technologies. However, despite great ...
EPFL2021Neural interface systems with on-device computing: machine learning and neuromorphic architectures
Development of neural interface and brain-machine interface (BMI) systems enables the treatment of neurological disorders including cognitive, sensory, and motor dysfunctions. While neural interfaces have steadily decreased in form factor, recent developme ...
CURRENT BIOLOGY LTD2021Transient Neurovascular Interface for Minimally Invasive Neural Recording and Stimulation
Diego Ghezzi, Philippe Reymond, Laura Ferlauto, Adele Fanelli, Elodie Geneviève Zollinger
Neural interfaces are used to mitigate the burden of traumatic injuries, neurodegenerative diseases, and mental disorders. However, the transient or permanent placement of an interface in close contact with the neural tissue requires invasive surgery, pote ...
2021Adaptive Wireless Power Transfer and Backscatter Communication for Perpetual Operation of Wireless Brain-Computer Interfaces
Brain-computer interfaces (BCIs) are neural prosthetics that enable closed-loop electrophysiology procedures. These devices are currently used in fundamental neurophysiology research, and they are moving toward clinical viability for neural rehabilitation. ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network
Silvestro Micera, Fiorenzo Artoni, Stefano Tortora
Objective.Mobile Brain/Body Imaging (MoBI) frameworks allowed the research community to find evidence of cortical involvement at walking initiation and during locomotion. However, the decoding of gait patterns from brain signals remains an open challenge. ...
IOP PUBLISHING LTD2020