Results 51 to 60 of about 318,665 (281)

An uncued brain-computer interface using reservoir computing [PDF]

, 2010
Brain-Computer Interfaces are an important and promising avenue for possible next-generation assistive devices. In this article, we show how Reservoir Comput- ing – a computationally efficient way of training recurrent neural networks – com- bined with a
Buteneers, Pieter, Kindermans, Pieter-Jan, Schrauwen, Benjamin, Verstraeten, David   +3 more
core  

Molecular determinants of signal transduction in tropomyosin receptor kinases

FEBS Open Bio, EarlyView.
Tropomyosin receptor kinases control critical neuronal functions, but how do the same receptors produce diverse cellular responses? This review explores the structural mechanisms behind Trk signaling diversity, focusing on allosteric modulation and ligand bias.
Giray Enkavi
wiley   +1 more source

Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer’s Disease Diagnosis

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehensive understanding of neurodegenerative disorders, have been widely used for computer-aided diagnosis of Alzheimer’s disease (AD).
Renping Yu, Chao Peng, Jixiang Zhu, Mingming Chen, Rui Zhang   +4 more
doaj   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

An Interventional Brain-Computer Interface for Long-Term EEG Collection and Motion Classification of a Quadruped Mammal

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Brain-computer interfaces (BCI) acquire electroencephalogram (EEG) signals to effectively address postoperative motor dysfunction in stroke patients by discerning their motor intentions during significant movements.
Sining Li, Gan Liu, Fan Feng, Ziqing Chang, Wenyu Li, Feng Duan   +5 more
doaj   +1 more source

Sensory Integration in Human Movement: A New Brain-Machine Interface Based on Gamma Band and Attention Level for Controlling a Lower-Limb Exoskeleton

Frontiers in Bioengineering and Biotechnology, 2020
Brain-machine interfaces (BMIs) can improve the control of assistance mobility devices making its use more intuitive and natural. In the case of an exoskeleton, they can also help rehabilitation therapies due to the reinforcement of neuro-plasticity ...
Mario Ortiz, Mario Ortiz, Laura Ferrero, Eduardo Iáñez, José M. Azorín, José L. Contreras-Vidal   +5 more
doaj   +1 more source

Brain - computer interface [PDF]

, 2016
Brain -computer interface - the interface that implements the connection between the human brain and the computer. The main idea is that when you think about action and do it, the same part of the brain is activated.In the middle of the XIX century ...
Shliahetskiy, A.A.
core  

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

FEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig, Swanhild Lohse, Sara Elahi, Nils Hartmann, Stefanie Deckert, Shutian Si, Alexander Desuki, Anja Harder   +7 more
wiley   +1 more source

Brain computer interface [PDF]

, 2014
This report presents an EEG-based brain-computer interface (BCI) in which subjects could select a picture from a set on a computer screen. The application is centred on detecting steady-state visual evoked potentials (SSVEP) in EEG signals recorded on ...
Madrid Sobrino, María
core   +2 more sources

Patatin‐domain‐containing (phospho)lipases under control: Mammalian co‐regulators and pathogenic activation mechanisms

FEBS Open Bio, EarlyView.
Patatin domain‐containing (phospho)lipases are lipid‐hydrolyzing enzymes central to metabolism, membrane remodeling, and signaling. Their activity relies on precise co‐activation mechanisms involving protein–protein interactions and conformational rearrangements.
Noopur Dubey, Lina Riegler‐Berket, Monika Oberer   +2 more
wiley   +1 more source