This package implements a statistical test that can assess higher-order correlations of neural population spike counts in terms of an information theoretic analysis. The test yields reliable results even when the number of experimental samples is small.
Metadata
Release files for mcmaxenttest 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mcmaxenttest-1.0.tar.gz | 19.1 kB | Without provenance | Details for mcmaxenttest-1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mcmaxenttest-1.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for mcmaxenttest-1.0-py2.py3-none-any.whl |
Total release size: 27.8 kB
Release files / mcmaxenttest-1.0.tar.gz
| Download URL | mcmaxenttest-1.0.tar.gz |
|---|---|
| Size | 19.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f50a500c013ceb5d8c0582ceffc837cdc0c96c7a6384d0458b94a2a5c684b458
|
|
BLAKE2b-256 checksum How to use checksums |
f89097516be9ba31d866202209e9ee420a77e6d91f3fa59dc98d2bc37742d67c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / mcmaxenttest-1.0-py2.py3-none-any.whl
| Download URL | mcmaxenttest-1.0-py2.py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
1eefd623d751795388c14083398d5da53a84c06a555ca3525c6141cdd5787188
|
|
BLAKE2b-256 checksum How to use checksums |
f7e046c1cc4faa36e3540b13e414c0c5a4502351cdaa69ccd63cef5651943c3c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for mcmaxenttest 1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.