Skip to content

This is my solution to the Neuralink Compression Challenge to compress a sample of neural audio losslessly written in python. It includes modules to encode and decode as well as a suite of tests.

License

Notifications You must be signed in to change notification settings

efwoods/Neuralink-Compression-Challenge

Repository files navigation

Neuralink_compression

https://content.neuralink.com/compression-challenge/README.html

Neuralink Compression Challenge

content.neuralink.com/compression-challenge/data.zip is one hour of raw electrode recordings from a Neuralink implant.

This Neuralink is implanted in the motor cortex of a non-human primate, and recordings were made while playing a video game, like this.

Compression is essential: N1 implant generates ~200Mbps of eletrode data (1024 electrodes @ 20kHz, 10b resolution) and can transmit ~1Mbps wirelessly. So > 200x compression is needed. Compression must run in real time (< 1ms) at low power (< 10mW, including radio).

Neuralink is looking for new approaches to this compression problem, and exceptional engineers to work on it.

Task

Build executables ./encode and ./decode which pass eval.sh. This verifies compression is lossless and measures compression ratio.

Your submission will be scored on the compression ratio it achieves on a different set of electrode recordings. Bonus points for optimizing latency and power efficiency

Submit with source code and build script. Should at least build on Linux.

About

This is my solution to the Neuralink Compression Challenge to compress a sample of neural audio losslessly written in python. It includes modules to encode and decode as well as a suite of tests.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published