Meliza lab scripts and modules for auditory neurophysiology
Reason this release was yanked:
missing file
Project description
## dlab
A collection of python code and scripts used by the Meliza Lab.
To install: pip install melizalab-tools
### modules
dlab.pprox: functions for working with [pprox](https://meliza.org/spec:2/pprox/) objects, a data format for storing multi-trial point process data (e.g. spike times evoked by stimulus presentation).
### console scripts
song-detect: This is a wrapper for the [quicksong](https://github.com/melizalab/quicksong/) package, an algorithm for automatically segmenting acoustic recordings into songs.
group-kilo-spikes
### other stuff
scripts/extract_waveforms.py: extracts spike waveforms from a raw recording (in ARF format) using spike times stored in a file (pprox format). This script is mostly only used to verify that spike sorting is working properly, because the group-kilo-spikes script has an option to store average waveforms.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for melizalab-tools-2023.3.16.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 443378cdedab59b88431e70967183974191aa3c739e7e15426bbf4cf3d511e8a |
|
MD5 | 8640a011ca24a753d8d7f053c7fcae9d |
|
BLAKE2b-256 | 265b9044a81a0766db92904a659ebd36a8206f6e3e7b80d83221386dd5cd7510 |
Hashes for melizalab_tools-2023.3.16-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 62a940f86071f740dd0baa8836f5de296de4e3f1523d3f7b834e0732843e84f8 |
|
MD5 | a97b91bda0242797e142dce3d689e3f4 |
|
BLAKE2b-256 | 15fb9e16daaf21c4b18a75fb0e3f3fa9020b26869132003f26a7426e7c6fb436 |