An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1038/s42003-021-02437-y

https://doi.org/10.1038/s42003-021-02437-y

Neocortical inhibitory interneuron subtypes are differentially attuned to synchrony- and rate-coded information

Cited by: 3
Author(s): Luke Y. Prince, Matthew M Tran, Dorian Grey, Lydia Saad, Helen Chasiotis, Jeehyun Kwag, Michael Köhl, Blake A Richards
Published: almost 4 years ago

Software Mentions 7

pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: neo
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Papers that mentioned: 5
Very Likely Science (80)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)