BCI & Neuroscience
Brain-computer interfaces, neural decoding, neuroprosthetics, invasive and non-invasive BCI clinical trials
Non-Invasive BCI: Neural Signal Decoding and Flexible Bioelectronics
Deep learning for neural decoding + flexible bioelectronics integration for non-invasive BCI
BCI in Neuroprosthetics & Neurorehabilitation
Active research topic on BCI for motor recovery, speech restoration, neurological disorders
BraIn-to-Text (BIT): Neural Speech Decoding Framework
BraIn-to-Text (BIT) framework. Neural activity to sentences via single differentiable network. 10% word error rate (down from 24.69%). Contrastive learning cross-modal alignment with audio LLMs.
A Review of Brain-Computer Interface Technologies: Signal Acquisition Methods and Interaction Paradigms
Comprehensive cross-level taxonomy linking BCI paradigms (Motor Imagery, P300, SSVEP, hybrid, auditory/olfactory/tactile) to signal acquisition techniques across three invasiveness tiers
Application and Future Directions of Brain-Computer Interfaces in Neurological Disorders: Technological Advances, Clinical Practices, and Challenges
Clinical-focused systematic review synthesizing BCI applications across motor, speech, cognitive, and sensory deficits with AI/VR integration frameworks and personalized digital prescription pathways
A Comprehensive Review of AI-Based Brain-Computer Interface with Prefrontal Cortex and Sensory-Motor Rhythms Systemization for Rehabilitation
Systematic comparative review of AI classification techniques for EEG-based motor imagery and eye-state BCIs, benchmarking signal processing pipelines across public datasets with focus on rehabilitation applicability
Stabilizing brain-computer interfaces through alignment of latent dynamics (NoMAD)
NoMAD stabilizes BCI decoding across weeks-to-months without supervised recalibration via unsupervised manifold alignment.
Surgical Planning Pipeline for Human Implantable Brain-Computer Interfaces
First systematic surgical planning pipeline for implantable BCI — pre-op imaging + vasculature mapping + target site selection + trajectory optimization. Addresses workflow standardization as BCI moves to multi-site clinical deployment
Multimodal Brain-Computer Interfaces: AI-Powered Decoding Methodologies
Comprehensive review of AI-powered multimodal BCI decoding — unifies cross-modality mapping, sequential modeling, and fusion. Identifies multimodal Transformers as next-gen decoder architecture
Neuralink PRIME Study: International Expansion and Clinical Results
~20 patients implanted; thought-controlled computing; UK/UAE trial expansion
Synchron Stentrode: Primary Endpoint Met in Feasibility Trial
12-month safety+efficacy data, 6 patients. First FDA-approved permanently implanted BCI. $200M Series D for pivotal trials 2026.
Stanford: Decoding Inner Speech from Motor Cortex
Decoded private inner monologue from motor cortex microelectrode arrays. 4 patients with severe paralysis. Inner speech patterns similar but smaller version of attempted speech patterns.
Paradromics Cleared to Start Connexus Long-Term Clinical Speech Trial
FDA approves Paradromics first long-term clinical trial of Connexus speech BCI. Connexus claims >200 bps info transfer rate — 20× Neuralink N1, orders of magnitude beyond Synchron Stentrode