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https://github.com/bouchardlab/neuropacks

A set of classes to parse various neuroscience datasets.

https://github.com/bouchardlab/neuropacks

Science Score: 10.0%

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    Low similarity (3.3%) to scientific vocabulary
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Repository

A set of classes to parse various neuroscience datasets.

Basic Info
  • Host: GitHub
  • Owner: BouchardLab
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 2.73 MB
Statistics
  • Stars: 2
  • Watchers: 5
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Created almost 8 years ago · Last pushed over 3 years ago
Metadata Files
Readme

README.md

neuropacks

A set of classes to parse various public and private neuroscience datasets.

Public datasets

  • allen - The Allen Brain Observatory data sets contain calcium imaging data from visual cortices across many mice with a standardized set of stimuli.
  • dream - The DREAM repository is a collection of reaching datasets available on CRCNS. Most of the DREAM datasets share the same file organization, but some may not.
  • hc6 - Recordings from hippocampal CA1 and CA3 (or MEC and CA1) from the Frank lab hosted on CRCNS.
  • nhp - Recordings from M1 and S1 from the Sabes lab. There are many datasets from different animals. indy2016062701.mat is a good place to start.
  • pv11 - Spontaneous and evoked V1 activity from macaque from the Kohn lab stored on CRCNS.
  • ret1 - Single-unit neural responses recorded from isolated retina from lab mice from the Meister lab stored on CRCNS.

Private datasets

  • peanut - /clusterfs/NSDSdata/external/franklab/peanutday14/ - Recordings from HPc and PFc from the Frank lab during the execution of a maze task
  • ret2 - Calcium imaging recording from mouse retinal ganglion cells recorded by Mathew Summers in the Feller lab.
  • v1 - Calcium imaging recording from mouse V1 recorded by Yuhan Yang in the Ji lab.

Owner

  • Name: Bouchard Lab GitHub
  • Login: BouchardLab
  • Kind: organization
  • Email: kebouchard@berkeley.edu

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Dependencies

setup.py pypi
  • h5py *
  • matplotlib *
  • numpy *
  • pyuoi *
  • scikit-learn *
  • scipy *