Scientists reveal a tiny brain chip that streams thoughts in real time

· Source: Neural Interfaces News -- ScienceDaily · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Data Science & Analytics · Depth: Advanced, medium

Summary

Scientists from Columbia University, NewYork-Presbyterian Hospital, Stanford University, and the University of Pennsylvania have developed a novel brain-computer interface (BCI) called the Biological Interface System to Cortex (BISC). This paper-thin silicon implant, roughly as thick as a human hair, creates a high-bandwidth, wireless communication pathway between the brain and external computers. Published in *Nature Electronics* on December 8, the BISC system integrates a single CMOS chip, a wearable relay station, and specialized software. It features 65,536 electrodes, 1,024 recording channels, and 16,384 stimulation channels, achieving a data throughput of 100 Mbps, which is 100 times higher than other wireless BCIs. The device aims to revolutionize treatments for epilepsy, spinal cord injury, ALS, stroke, and blindness by enabling seizure control and restoring motor, speech, and visual functions.

Key takeaway

For AI scientists and neuroprosthetics developers, the BISC implant represents a significant leap in brain-computer interface technology. Its high-bandwidth, minimally invasive design and single-chip scalability mean you can explore more complex neural decoding and stimulation algorithms. Consider its potential for adaptive neuroprosthetics and direct brain-AI interaction, which could accelerate research into treating neuropsychiatric disorders and enhancing human-machine interfaces.

Key insights

A new single-chip BCI offers high-bandwidth, minimally invasive brain-computer communication for neurological treatment and AI interaction.

Principles

Method

The BISC system integrates all BCI components onto a single 50 μm-thin CMOS chip, fabricated using TSMC's 0.13-μm BCD technology, enabling high-density electrodes and wireless ultrawideband radio communication.

In practice

Topics

Best for: AI Scientist, AI Researcher, Research Scientist, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Neural Interfaces News -- ScienceDaily.