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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MD5 | 97fdc651e65d14976f1d514524ae12dc |
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BLAKE2b-256 | dc7b47efbed268b1a37bb036e68db9faad1410b379c50209391243e973cd8c90 |
Hashes for retinawhitenoise-1.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm | Hash digest | |
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SHA256 | 99e21a1722a2c31d972181bdf06c25b7db23a9e5bc726dc095f7b4fec145f89e |
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MD5 | d9614a06cacefcfcdddde6ca72e68aff |
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BLAKE2b-256 | c5bd4c12746d6bbd5b1009c232133990c061730abae353c90814bb4f73e823d4 |
Hashes for retinawhitenoise-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 0032c56e3ce66228cd75059a5af32e1e37d5c84d45686b88f967c95daa11e623 |
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MD5 | 84929268f18dbde8a57a4a571bfd42c0 |
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BLAKE2b-256 | 649ec4ae2b85b326a882f887c9c334aacde56815e0095c9a6417eb71520d79a5 |
Hashes for retinawhitenoise-1.0.0-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0ec9cfa7fdf53e741d601552ee3be004956da4f84974a14a3811a8397ac54d2a |
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MD5 | 71856c064f5e69fe19310267d48eb066 |
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BLAKE2b-256 | 51f8d66573d96e51af748fba281981f02f38d781fd0a8a81b321f3802b17a84b |
Hashes for retinawhitenoise-1.0.0-cp38-cp38-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 35245dba5eb4a7ac22ed65d18c9c49adf38f4e91473128acd46457f62cae74d4 |
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MD5 | df72f910dcda340a7d3e409afb613d1b |
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BLAKE2b-256 | 4996deb0c04e35c82d0adb1565c11244a97d197b6f954eb28328fd587220b77b |
Hashes for retinawhitenoise-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7c49494832731a3dcd1dd91920d4f218f7af347f9c8fb8442d29eae0a49b7aee |
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MD5 | c6b050f0bd8599da4b34ed1d182c01bf |
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BLAKE2b-256 | ddf22b9210d25d8551910e4ef6fa8c4f73dfbb6d96ea7e94e7b120361af7c540 |
Hashes for retinawhitenoise-1.0.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 744eee46e3846624d6f50457ba6f6dde47381f66d367de2826ac2b72d176fd37 |
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MD5 | d13169d1cdf685a5462d531678402ca0 |
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BLAKE2b-256 | 1f6655cbad3557de2fb8cdb842120ab7565ad876647626acb83854fb5c0e336c |
Hashes for retinawhitenoise-1.0.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f11f9920f72105708f6b72589c12d0c0c8c38792c9b46472c65be3af3627a366 |
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MD5 | cd624ae5c3ac91d67fbb5510b70518d3 |
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BLAKE2b-256 | c83b46ee0fec8a4431c0e2c6ea36d6946b9b4020cd0412a8d3c2af5f583094c5 |
Hashes for retinawhitenoise-1.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 57028ba4ffa852f6e6454d1521422e292ffb1986d5d7ed761cd690d68a0b2681 |
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MD5 | 745936b18c27c3c8c900c1e5f3c302df |
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BLAKE2b-256 | 9bb0d85dff500b1122b2e08ae03b6bd6bd73779f802c20655c6366df8c919c10 |
Hashes for retinawhitenoise-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ec15acfae88abee253750078b6eddab319fa7ea97b9e4df1b9e1f0f15bc5bde |
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MD5 | facbf81b765ec5ad662d39e269ab4176 |
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BLAKE2b-256 | d8eff3c49f7f59c4ffc6e112cee344103d2155a9d7ca7fbbba09c6a9644eed96 |
Hashes for retinawhitenoise-1.0.0-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 46c562264e1f1506a9327966f2a7256956d49bbdd149e407a5483f66bc1f0a12 |
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MD5 | e033f32bc91a5630d1a60d50c72ad200 |
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BLAKE2b-256 | fd1ce3c95ae1203c2ba08df24171284d91f18703240e1c989ffbb21cbee4177f |
Hashes for retinawhitenoise-1.0.0-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b1810522980af500da850825c7bda9b05e7544887d3ba4d11951296d77fdddd6 |
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MD5 | 602682ab08720ca82ee96838538c4487 |
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BLAKE2b-256 | 37f2f61abc320b9aa04aafc4563f1925a3e3edfbfb3f285e9f0207b2ef43a3bf |
Hashes for retinawhitenoise-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 80938e09a858ddd26011d7a3d22a7e5138cf99b850926c4235e7ea021736be89 |
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MD5 | 0c48dc249e2f0e3f2e6b4099c00fa09b |
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BLAKE2b-256 | 545f4fb4ede5d0d9432681fd00c37b3ffd90de2390dea9dc2accc9d578a37b60 |
Hashes for retinawhitenoise-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d806c3cabea25b2507a610333b0c85fcbb07ed8a33fa42d1d72d4719b177826 |
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MD5 | 3a427746ceccacae4ab9802783b462d1 |
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BLAKE2b-256 | b272cca82b6d80f337399b9f25380a73a82efd67ae8591e4425bcb726ad09418 |
Hashes for retinawhitenoise-1.0.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | eededaaeffe6454881c6aadc0d6df6b60b832b14ad41c3df50acb85f4c02ca38 |
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MD5 | 382d750bd4ec3f0f41e737f3d372b952 |
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BLAKE2b-256 | 99946ddc618096238c0f09539d7ac96c347799fb5fdb8841199fdee1d037fae8 |
Hashes for retinawhitenoise-1.0.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 57fd12037b348101f48de87710a06f0c859ca51d005f3ee00789c5516a741658 |
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MD5 | 9cb036182f4b51bc134e1658795d6ff6 |
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BLAKE2b-256 | 3da4e2ddbd9d0582d20a3fe9dc6f150e6688b2b87c0da611508d209942681ca8 |
Hashes for retinawhitenoise-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3a884e38ab2f1d62483ad94663216b61e29cb2a9f763848db4d87898aa7ac072 |
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MD5 | 89586568fa1bb9a7f6e8032d9276d012 |
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BLAKE2b-256 | 053999078dbc1ff7fa743b67189e1917225bf7a40fd655660817db79da253cac |