AIMC Topic: Brain-Computer Interfaces

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PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces.

PloS one Aug 6, 2025
Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) have emerged as a transformative technology with applications spanning robotics, virtual reality, medicine, and rehabilitation. However, existing BCI frameworks face several limitati...
Brain Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Software Algorithms
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Cross-subject EEG signals-based emotion recognition using contrastive learning.

Scientific reports Aug 3, 2025
Electroencephalography (EEG) signals based emotion brain computer interface (BCI) is a significant field in the domain of affective computing where EEG signals are the cause of reliable and objective applications. Despite these advancements, signific...
Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Adult Male Emotions Humans Algorithms Machine Learning Brain Female
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EEG-based speech imagery decoding by dynamic hypergraph learning within projected and selected feature subspaces.

Journal of neural engineering Jul 28, 2025
Speech imagery is a nascent paradigm that is receiving widespread attention in current brain-computer interface (BCI) research. By collecting the electroencephalogram (EEG) data generated when imagining the pronunciation of a sentence or word in huma...
Humans Machine Learning Female Imagination Speech Young Adult Electroencephalography Adult Brain-Computer Interfaces Male
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Effects and neural mechanisms of a brain-computer interface-controlled soft robotic glove on upper limb function in patients with subacute stroke: a randomized controlled fNIRS study.

Journal of neuroengineering and rehabilitation Jul 24, 2025
BACKGROUND AND PURPOSE: The brain-computer interface-based soft robotic glove (BCI-SRG) holds promise for upper limb rehabilitation in subacute stroke patients, yet its efficacy and neural mechanisms are unclear. This study aimed to investigate the t...
Robotics Stroke Brain-Computer Interfaces Male Middle Aged Spectroscopy, Near-Infrared Paresis Upper Extremity Stroke Rehabilitation Humans Female Aged Adult
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Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.

Journal of neural engineering Jul 21, 2025
Closed-loop brain-computer interfaces can be used to bridge, modulate, or repair damaged connections within the brain to restore functional deficits. Towards this goal, we demonstrate that small artificial spiking neural networks can be bidirectional...
Brain-Computer Interfaces Neural Networks, Computer Motor Cortex Animals Male Macaca mulatta Action Potentials Neurons
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Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks.

Scientific reports Jul 19, 2025
Accurate and efficient analysis of Electroencephalogram (EEG) signals is crucial for applications like neurological diagnosis and Brain-Computer Interfaces (BCI). Traditional methods often fall short in capturing the intricate temporal dynamics inher...
Brain-Computer Interfaces Wavelet Analysis Deep Learning Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms Humans
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Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.

PloS one Jul 14, 2025
Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainm...
Humans Prefrontal Cortex Support Vector Machine Emotions Adult Algorithms Supervised Machine Learning Male Female Brain-Computer Interfaces Spectroscopy, Near-Infrared Young Adult
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A transformer-based network with second-order pooling for motor imagery EEG classification.

Journal of neural engineering Jul 10, 2025
. Electroencephalography (EEG) signals can reflect motor intention signals in the brain. In recent years, motor imagery (MI) based brain-computer interfaces (BCIs) have attracted the attention of neuroinformatics researchers. Numerous deep learning m...
Imagination Deep Learning Humans Electroencephalography Neural Networks, Computer Brain-Computer Interfaces Brain
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An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

Journal of neural engineering Jul 10, 2025
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often lim...
Gestures Electroencephalography Electromyography Brain-Computer Interfaces Upper Extremity Young Adult Adult Male Humans Machine Learning Algorithms Female
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Motor imagery EEG signal classification using novel deep learning algorithm.

Scientific reports Jul 8, 2025
Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. However, these technologies face challenges ...
Humans Algorithms Deep Learning Wavelet Analysis Electroencephalography Imagination Signal Processing, Computer-Assisted Brain-Computer Interfaces
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