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brainwire
0.1.4
One-liner (summary)
Description
# [Neuralink Compression Challenge](https://content.neuralink.com/compression-challenge/README.html)
## Summary
[content.neuralink.com/compression-challenge/data.zip](https://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](https://www.youtube.com/watch?v=rsCul1sp4hQ).
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.
## [Pypi Brainwire Package](https://pypi.org/project/brainwire/)
Encode and Decode are now available under the [brainwire](https://pypi.org/project/brainwire/) pypi package. The modules will detect neural spikes, compress the data, and decompress the data to present a sample rate and array of amplitudes that only contain detected spike information. They can be downloaded using pip install brainwire and implemented with brainwire.encode.compress(file_path) or brainwire.decode.decompress(compressed_brainwire_data_format) where 'compressed_brainwire_data_format' is the compressed data returned from 'brainwire.encode.compress()' and the 'file_path' is the path to raw neural data in '.wav' format.
## Sample Compression Results:
### Encoding Time:
- Time Δ Microseconds: 3686937.0 μs
- Time Δ Milliseconds: 3686.937 ms
- Time Δ Seconds: 3.686937 s
### Decoding Time:
- Time Δ Microseconds: 3871124.0 μs
- Time Δ Milliseconds: 3871.124 ms
- Time Δ Seconds: 3.871124 s
### Total Time (encode and decode):
- Time Δ Microseconds: 7558100.0 μs
- Time Δ Milliseconds: 7558.1 ms
- Time Δ Seconds: 7.5581 s
### Compression Ratio
- Original File Size: 197526
- Compressed File Size: 92251
- Percent of Compression: 53.30%
| Status | Completed |
|---|---|
| Checksum (MD5) | 0143f09098022ac027dc967eb8066dd6 |
| Checksum (SHA-1) | 9dcf886b0d0dccc5ae9788542065a2c4d2c2c575 |
| Checksum (SHA-256) | 904eb3fe493bbee0ac5f1e36768daf04d008ffcb46a20255791c33ce117d01cb |
| Checksum (SHA-512) | 51619f04fb78f6e827b6f2e021b8aa00416ff408b6fa9ab2fb135f4f2191162995… |
| GPG Signature | |
| GPG Fingerprint | 6811684bac0b8895434e97bdd4391b8fb999e537 |
| Storage Region | Dublin, Ireland |
| Type | Binary (contains binaries and binary artifacts) |
| Uploaded At | 4 months, 3 weeks ago |
| Uploaded By |
|
| Slug Id | brainwire-014-py3-none-anywhl-76pb |
| Unique Id | K52i3T7b2xqT8Ylb |
| Version (Raw) | 0.1.4 |
| Version (Parsed) |
|
| extended metadata | |
| Maintainer | Evan Woods |
| Metadata Version | 2.1 |
| Project Urls | Homepage, https://github.com/efwoods/Neuralink-Compression-Challenge | Issues, https://github.com/efwoods/Neuralink-Compression-Challenge/issues |
| Py Filetype | bdist_wheel |
| Py Version | py3 |
| Requires Dist | numpy | numpy >=1.0 | scipy | signal-processing-utilities >=0.1.8 |
| Requires Python | >=3.10 |
| pkg | brainwire-0.1.4-py3-none-any.whl |
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Last scanned
4 months, 3 weeks ago
Scan result
Clean
Vulnerability count
0
Max. severity
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