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Real-time intelligence on brain-computer interface funding, clinical trials, research, and policy.
347,232 EEG Epochs Validate Criticality Features for Deep Sleep Detection
New study analyzes nearly 350K EEG epochs to demonstrate criticality-based deep sleep detection for neurofeedback applications
Read →Heart-Brain Signal Patterns Change in Terminal Patients
Multifractal analysis reveals heart-brain anticorrelation during end-of-life neurophysiological breakdown
Read →New fMRI Decoder Answers Visual Questions from Brain Signals
Researchers advance fMRI-based visual question answering, though performance remains limited for clinical applications
Read →GRAFT Model Enables Cross-Day Neural Decoder Adaptation
New Transformer architecture separates temporal dynamics from electrode identity, addressing decoder drift in chronic BCIs
Read →Hyperbolic Neural Geometry May Boost BCI Decoding Performance
New theoretical framework links hyperbolic neural population geometry to improved BCI decoding and associative memory
Read →EEG Features Show 85% Accuracy Discriminating Parkinson's States
New interpretable EEG features achieve 85% accuracy in discriminating Parkinsonian neural states from healthy controls
Read →DGIST Partners with Wibrain for Brain-Computer Interface Development
Korean research institute DGIST signs MOU with biotech startup Wibrain to advance brain-computer interface technologies
Read →Synchron Plans 2026 Pivotal Trial for First Commercial BCI
Synchron targets 2026 pivotal trial launch for first FDA-approved commercial BCI using endovascular approach
Read →Synchron Eyes 2026 Pivotal Trial for Stentrode FDA Approval
Synchron prepares pivotal trial for Stentrode endovascular BCI, targeting first FDA commercial approval in motor BCI space
Read →China Beats Neuralink to First Commercial Brain Implant Approval
Chinese NEO brain implant receives world's first commercial approval using ECoG technology on brain surface
Read →EEGDancer Model Achieves Continuous Emotion Prediction from EEG
New EEGDancer model uses masked modeling and reinforcement learning for continuous emotion prediction from EEG signals
Read →Deep RL Model Optimizes Epiretinal Implant Vision Recovery
New computational model uses reinforcement learning to overcome shape distortions in epiretinal stimulation
Read →Whisper AI Model Predicts Human Brain Responses to Speech
New neural encoder maps OpenAI's Whisper representations to intracranial ECoG during naturalistic speech perception
Read →Brain-IT-VQA Model Decodes Visual Questions from fMRI Signals
New model achieves visual question answering from brain signals using fMRI data and transformer architectures
Read →VR Feedback Boosts 3D Motor Imagery Decoding Performance
Embodied VR feedback improves neural plasticity and decoding accuracy in continuous 3D motor control BCIs
Read →Multimodal BCI Gaming Study Tests Player Experience Protocol
19-participant pilot study develops protocol for synchronizing game telemetry with biometric data
Read →Neurosoft Raises $7.5M for Stretchable Brain Interface Tech
Neurosoft Bioelectronics closes $7.5M seed to advance stretchable brain-computer interface technology
Read →6G Networks Could Enable 10 Gbps BCI Data Transmission
New research identifies 6G wireless requirements for next-generation brain-computer interfaces
Read →Neurosoft Bioelectronics Raises $7.5M for Scalable BCI Tech
European BCI startup secures Series A to advance scalable neural interface manufacturing and clinical translation
Read →BCI-sift Python Toolbox Automates Feature Selection for BCIs
New open-source Python toolbox streamlines feature selection for high-dimensional BCI data from implanted and non-implanted systems
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