Julian Lloyd Bruce · 2025 · Neuroscience and Neurological Surgery
Paper
The Connexus Direct Data Interface (DDI) is an implantable brain–computer interface designed to address the limitations of existing intracortical systems by separating cortical sensing from telemetry and computation. This architecture allows for high-bandwidth neural recording, efficient data compression, and secure optical transmission, while reducing heating and improving safety at the brain interface. Connexus incorporates flexible microwire arrays with advanced biocompatible coatings, on-chip signal digitization, and subclavicular transceivers powered by inductive coupling. Decoder pipelines are optimized with transformer-based architectures and streaming strategies to sustain real-time performance. Early results suggest the platform can achieve robust neural decoding in laboratory environments, though long-term durability, chronic biocompatibility, and usability outside of controlled settings remain unresolved. This paper reviews the device’s electrode design, materials and encapsulation, telemetry and powering, decoder performance, surgical workflow, and regulatory considerations. Limitations and directions for future research are highlighted, with emphasis on extending implant longevity, advancing leadless powering methods, and validating performance in at-home clinical trials.
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