Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders. by Max Grogan, Kyle P Blum, Yufei Wu, J Alex Harston, Lee E Miller, A Aldo Faisal

“…Our model provides a principled basis for understanding of sensorimotor representations, and the theoretical basis of neural manifolds, with applications to the restoration of sensory feedback in brain-computer interfaces and the control of humanoid robots.…”
Get full text

Progress in the Development of Flexible Devices Utilizing Protein Nanomaterials by Chunhong Zhang, Chenxi Zhang, Yongchun Liu

“…These features significantly expand the scope of electronic devices and demonstrate their unique value in various fields, including smart wearable devices, medical and health monitoring, human–computer interaction, and brain–computer interfaces. Protein materials, due to their unique molecular structure, biological properties, sustainability, self-assembly ability, and good biocompatibility, can be applied in electronic devices to significantly enhance the sensitivity, stability, mechanical strength, energy density, and conductivity of the devices. …”
Get full text

Predicting artificial neural network representations to learn recognition model for music identification from brain recordings by Taketo Akama, Zhuohao Zhang, Pengcheng Li, Kotaro Hongo, Shun Minamikawa, Natalia Polouliakh

“…It holds promise for advancing brain-computer interfaces (BCI), neural decoding techniques, and our understanding of music cognition. …”
Get full text

Olfactory neurofeedback: current state and possibilities for further development by Ivan Ninenko, Ivan Ninenko, Alexandra Medvedeva, Victoria L. Efimova, Daria F. Kleeva, Daria F. Kleeva, Daria F. Kleeva, Marina Morozova, Mikhail A. Lebedev, Mikhail A. Lebedev

“…This perspective considers the novel concept of olfactory neurofeedback (O-NFB) within the framework of brain-computer interfaces (BCIs), where olfactory stimuli are integrated in various BCI control loops. …”
Get full text

Enhancing Neuroplasticity for Post-Stroke Motor Recovery: Mechanisms, Models, and Neurotechnology by Wangwang Yan, Yuzhou Lin, Yi-Feng Chen, Yuling Wang, Jingxin Wang, Mingming Zhang

“…., task-oriented training, brain-computer interfaces) and exogenous drivers (e.g., brain stimulation, muscular electrical stimulation, robot-assisted passive movement). …”
Get full text

PEDOT:PSS-based bioelectronics for brain monitoring and modulation by Jing Li, Daize Mo, Jinyuan Hu, Shichao Wang, Jun Gong, Yujing Huang, Zheng Li, Zhen Yuan, Mengze Xu

“…These integrations enable fundamentally advancing the precision and clinical translatability of brain–computer interfaces. By addressing critical challenges related to efficacy, integration, safety, and clinical translation, this review identifies key opportunities for advancing next-generation neural devices. …”
Get full text

Neurorights and Neural Data Towards Legal Protection by Francesco Di Tano

“…Technologies such as brain-computer interfaces, electroencephalograms, and brain stimulation are expanding beyond the clinical context, finding application in work, education, entertainment, and the military. …”
Get full text

Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches by Hong Yang, Li Jiang

“…Brain–computer interfaces (BCIs) have seen increasingly fast growth under the help from AI, algorithms, and cloud computing. …”
Get full text

Event-related potentials reveal incongruent behavior of autonomous vehicles in the moral machine dilemma by Maren A. K. Bertheau, Cindy Boetzel, Christoph S. Herrmann

“…This might be useful in brain computer interfaces research when, classifying single-trial ERP components, to dynamically adopt an AV’s behavior.…”
Get full text

Advancing Functional Near-Infrared Spectroscopy (fNIRS) With Transformers: A PRISMA-Driven Systematic Review by Neda Abdollahpour, Abhinav Kakaraparthi, Chakradhar Sai Valluru, N. Sertac Artan

“…Functional Near-Infrared Spectroscopy (fNIRS) has emerged as a promising neuroimaging modality in various domains, including cognitive neuroscience, brain-computer interfaces (BCIs), clinical diagnostics, mental workload assessment, and neurorehabilitation. …”
Get full text

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding by Yu Song, Yu Song, Liyuan Han, Tielin Zhang, Bo Xu, Bo Xu

“…Brain-computer interfaces (BCIs) are an advanced fusion of neuroscience and artificial intelligence, requiring stable and long-term decoding of neural signals. …”
Get full text

EEG Peak Detection in Cognitive Conflict Processing Using Summit Navigator and Clustering-Based Ranking by Tran Hiep Dinh, Avinash Kumar Singh, Nguyen Linh Trung, Diep N. Nguyen, Chin-Teng Lin

“…The accuracy and computational efficiency of the proposed technique in the detection of PEN in cognitive conflict processing would lead to promising applications in performance improvement of brain-computer interfaces (BCIs).…”
Get full text

The role of fMRI in the mind decoding process in adults: a systematic review by Sahal Alotaibi, Maher Mohammed Alotaibi, Faisal Saleh Alghamdi, Mishaal Abdullah Alshehri, Khaled Majed Bamusa, Ziyad Faiz Almalki, Sultan Alamri, Ahmad Joman Alghamdi, Mohammed Alhazmi, Hamid Osman, Mayeen U. Khandaker

“…Studies were selected based on strict inclusion and exclusion criteria: peer-reviewed; published between 2000 and 2024 (in English); focused on adults; investigated mind-reading (mental state decoding, brain-computer interfaces) or related processes; and employed various mind-reading techniques (pattern classification, multivariate analysis, decoding algorithms). …”
Get full text

A Lightweight Network with Domain Adaptation for Motor Imagery Recognition by Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu

“…Brain–computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the motor control and assistive operation domains. …”
Get full text

Targeted Sensory System Neuromodulation Improves Sensorimotor and Cognitive Deficits After Brain Injury: Bridging Mechanisms to Practice by Qin Zhang, Zhen Pang, Rongrong Lu, Hua He, Ulf Ziemann, Zhengrun Gao

“…Future advancements in multimodal and closed loop stimulation approaches, as well as sensory feedback brain-computer interfaces, hold promise for providing more effective and personalized treatments for patients with brain injury.…”
Get full text

onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation. by Luca Longo, Richard B Reilly

“…With the popularity of Brain-Computer Interfaces and the application of Electroencephalography in daily activities and other ecological settings, there is an increasing need for robust, online, near real-time denoising techniques, without additional reference signals, that is fully automated and does not require human supervision nor multi-channel information. …”
Get full text

Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset by Yufeng Ke, Yuheng Han, Peishuai Liu, Dong Ming

“…Abstract Steady-state visually evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have shown significant promise for practical applications. …”
Get full text

ATGAN: attention-based temporal GAN for EEG data augmentation in personal identification by Shuai Zhang, Lei Sun, Xiuqing Mao, Min Zhao, Yudie Hu

“…Abstract With the development of brain–computer interfaces in recent years, deep learning models have been widely used in EEG-based personal identification. …”
Get full text

A Comprehensive Review of Multimodal XR Applications, Risks, and Ethical Challenges in the Metaverse by Panagiotis Kourtesis

“…The integration of multimodal technologies—haptics, eye-, face-, and body tracking, and brain–computer interfaces—enhances user engagement and interactivity, playing a key role in shaping the immersive experiences in the Metaverse. …”
Get full text

ADAPTED NEURO MANAGEMENT AND INTEGRAL METHODOLOGY IN DECISION EVALUATION. CUM INTERVENTION by S Sandhya, Jyotirmaya Satpathy

“…These techniques inc lude; intervention with neurofeedback and biofeedback, personalized training programs to improve neuronal and physiological self regulation. mindfulness and relaxation techniques, implementation of specific protocols to reduce stress and improve attention, adapted to individual needs virtual reality exposure therapy, development and application of personalized scenarios to treat phobias, anxiety and ptsd, cognitive performance training based on computational interface, implementation of adaptive programs to improve specific executive and cognitive functions, based on the individual neurocognitive profile, qualitative neuropsychological training, implementation of rehabilitation and neuropsychological correction programs aimed at improving the psychological and brain functioning of people, emotional freedom techniques, application of emotional reprocessing protocols to improve self regulation, adapted to specific emotional needs, guided neuroplasticity interventions, application of cognitive stimulation techn iques designed to promote neuroplasticity in specific brain areas, character strengths program, implementation of psychological well being management programs based on scientific evidence and personalized neuromanagement education. …”
Get full text