Results 121 to 130 of about 378,811 (361)
Brain–computer interfaces in 2023–2024
Brain–computer interfaces (BCIs) have advanced at a rapid pace in recent years, particularly in the medical domain. This review provides a comprehensive summary of the progress made in medical BCIs during the 2023–2024 period, covering a wide range of ...
Shugeng Chen +5 more
doaj +1 more source
Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang +6 more
wiley +1 more source
Designing Guiding Systems for Brain-Computer Interfaces
Brain–Computer Interface (BCI) community has focused the majority of its research efforts on signal processing and machine learning, mostly neglecting the human in the loop.
Nataliya Kosmyna, Anatole Lécuyer
doaj +1 more source
A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG
Xiang Li +8 more
openalex +1 more source
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu +12 more
wiley +1 more source
How do voice acoustics affect the perceived trustworthiness of a speaker? A systematic review
Trust is a multidimensional and dynamic social and cognitive construct, considered the glue of society. Gauging someone’s perceived trustworthiness is essential for forming and maintaining healthy relationships across various domains.
Constantina Maltezou-Papastylianou +3 more
doaj +1 more source
Identifying motor imagery activities in brain computer interfaces based on the intelligent selection of most informative timeframe [PDF]
Hamidreza Abbaspour +2 more
openalex +1 more source
Thermoelectric temperature sensors are developed that directly measure heat changes during optical‐based neural stimulation with millisecond precision. The sensors reveal the temperature windows for safe reversible neural modulation: 1.4–4.5 °C enables reversible neural inhibition, while temperatures above 6.1 °C cause permanent thermal damage.
Junhee Lee +9 more
wiley +1 more source
Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim +14 more
wiley +1 more source
Actual and Imagined Movement in BCI Gaming [PDF]
Most research on Brain-Computer Interfaces (BCI) focuses\ud on developing ways of expression for disabled people who are\ud not able to communicate through other means.
Heylen, D.K.J. +3 more
core +1 more source

