Recreate white-noise stimuli
Project description
RecreateWhiteNoiseStimuliWithPython
Code for regenerating the random-number-based contrast values applied in experiments with white-noise stimulation in the Gollisch Lab. Used for both temporal and spatiotemporal stimuli, and for both binary and Gaussian white noise.
The random-number sequences are needed for analyzing the spike responses of recorded cells under white-noise stimulation.
Installation
A full installation of the package is done from command-line using pip
with
pip install retinawhitenoise
Manual installation
If the pip
package is not available for a given operating system or Python version, the package and Cython code can be compiled manually instead.
pip install https://github.com/gollischlab/RecreateWhiteNoiseStimuliWithPython/archive/main.tar.gz
Windows might require the Microsoft C++ Build Tools to be installed (including "Windows SDK" and "MSVC ... C++ x64/x86 build tools"). For details, see here.
Usage
The Python package retinawhitenoise
offers two modules binarystimulus
and gaussianstimulus
,
each offering routines to recreate
, save
(to disk), and load
stimulus sequences.
Instructions on how to use them with example code and explanations is included in the jupyter notebook examples.ipynb
.
Project details
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BLAKE2b-256 | 78104eea96d4fe84758a917737bcaeca4060ebd58f8789b8dece21f01b5bf560 |
Hashes for retinawhitenoise-1.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm | Hash digest | |
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SHA256 | cbac32605ade754ad5f6a0b9a0421222aaf5e81976eb9a9b5867ad8b9fe1d9be |
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MD5 | e9541cf667f1ce38802c2684b7ccabca |
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BLAKE2b-256 | 30c2c699b996679b5f149fcfb920a4bcc3445dd6c7146d4ddcac713fe3b6db6c |
Hashes for retinawhitenoise-1.0.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 5e0cd1b70ed675aa3a6c4c027ea49d2c61b99f302e69ed1e05573c7c4cdad3de |
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MD5 | 8bc86d75df376f8ba8470ad3eb0fae99 |
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BLAKE2b-256 | 96856e63c9a876dae19596f59760af28db3cb7bb05871edaaf44fd5803c7cc45 |
Hashes for retinawhitenoise-1.0.1-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | 5590e9f504c7deab9a246bafe68c11b75fe27355be4a4dbaf2ae2d3a7bb40f9c |
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MD5 | 9eef48386ae5325273b1ab2563e53aef |
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BLAKE2b-256 | 4a8148bae992c27fb3e92cc465f2ce3ac3661072bf48ccb6b5934d47e47f7527 |
Hashes for retinawhitenoise-1.0.1-cp38-cp38-win32.whl
Algorithm | Hash digest | |
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SHA256 | d354843419541c360574be01fc57e15895423d880b174a5b66592900fc68958b |
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MD5 | c000194171e39860f85ba7b521b83752 |
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BLAKE2b-256 | 515766a55ca16fa683385c60a0e41f3adbe8f02c12872500255a5bb108581290 |
Hashes for retinawhitenoise-1.0.1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | a1ecef1fab8f6e72c86201187d49527878f2d06f4e4bdcb44973dba9b27c9962 |
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MD5 | e5310f2d933ecc874e0ae53b2cd7b188 |
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BLAKE2b-256 | e825406e2aba7e46a163d3ad5cf440373856428480a7d13d0cda6eaff611c63b |
Hashes for retinawhitenoise-1.0.1-cp38-cp38-musllinux_1_1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2412715518e5adcfadc475cdb0a146542227a5a7ef80de59bb6f3eecf3d4c48b |
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MD5 | 04dd303541dba5cf8e2312255eb88841 |
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BLAKE2b-256 | 826fc67393ccc3166345415b27ab13af4ded91da8102cb0916c6eb15139330e4 |
Hashes for retinawhitenoise-1.0.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a27d81728243c45b376c5427c91cda0711736342b4c08dd54017ea92b123eff6 |
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MD5 | 9fe039fe88de0e6c4b874c80f9469ce2 |
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BLAKE2b-256 | 7f93161b2e85b72723677e2661f83623e4d311b0c6cc8f3d2d05056d8a4c97c5 |
Hashes for retinawhitenoise-1.0.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 505eb51b12afd8d6a6843d76e229af238e76471b2bc1628246c6883ae7d58378 |
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MD5 | 65e74175ede726e045c1965edc037dd7 |
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BLAKE2b-256 | 398a06571810bc2cb5d84045c011bb1644a16ba47a21dbd061382af360169ce5 |
Hashes for retinawhitenoise-1.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 52f78d5920d59c11df13dff55b106ecd4a21a42984c6e63ab38cc031eb2cff39 |
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MD5 | a2c5b5d9435f95e0232eaf6d09c2b1d9 |
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BLAKE2b-256 | 591dfd17d0a9ca0ae43a649ba0d0bebf6e7f5893eec51fa07f38929e13aa7956 |
Hashes for retinawhitenoise-1.0.1-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 76970b5e88b53fe955cbf18ac358deef17149036e2f13da737073502c7e0dad4 |
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MD5 | 4b499d992cb1e26f4317f198604fca60 |
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BLAKE2b-256 | 5d7f3aef16b2f7335645d91113937a5f2a52a25089a5254917ec9e3a18df1521 |
Hashes for retinawhitenoise-1.0.1-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d9562790699240245323e87cb97cc8db9a05c34b42bad88ced16a7021ed94f61 |
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MD5 | cd491cdd3e27a1d79513aefbec0435bd |
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BLAKE2b-256 | dc86f0a8f80f198ed64f1773e99b0a90ed9b1593b80b6df818590d9f77ad3766 |
Hashes for retinawhitenoise-1.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5b6353b7aa55b01e48e3553588309fb7a6efee6bd67b525ea17c3486b92d3fac |
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MD5 | 42dce861bc52ba2b68f402b3f9fbea21 |
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BLAKE2b-256 | e967b98f406ddc7f39463d3ecb74133374e61175b4aaed7d82e59273d574c337 |
Hashes for retinawhitenoise-1.0.1-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d3b863126a6fcbe356fd1a3b7961622b57f6b8d81d3759ef033d9797582a084 |
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MD5 | 600dd5939963f8926d3e233c3997b136 |
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BLAKE2b-256 | d8a23c0a0fb3d65ead0cf7b6e5a54fd77b36e934f43616b611ce11c00360b69f |
Hashes for retinawhitenoise-1.0.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 30f980128795b82092d707595564fac1ab0f538543554006dbd0d50c46cf6cfc |
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MD5 | 9672a054ffe1e3da20bf6e63edd49b84 |
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BLAKE2b-256 | 5ea52c51e82be1aa82e9d19c4975c926b60ed2a0e0ea76a0e8eaefb34bb75bea |
Hashes for retinawhitenoise-1.0.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 573d0f199b7ae50eceda223366842da2399b3e7c61e1913b9016f1c979b7ed45 |
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MD5 | 54a4cad871fc52b47eaa406a69c30bd6 |
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BLAKE2b-256 | 04e2b885c3c2fd30525a91f11b5517cf1447878d30fefcbe6ec942af3e4958c6 |
Hashes for retinawhitenoise-1.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6c0e606cb6554b143a5f4cb52eef49113a1f7a22ef4bd7ac388c20edcc64b8f3 |
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MD5 | c630493294756e8966d92c1796d1df6e |
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BLAKE2b-256 | 35166bf08ae5555ae3d8acf71cb129c8f674aa8680fab39263f99d8f4f90b604 |