spyks is a tool for building and simulating simple, dynamical neuron models. It places a strong emphasis on efficient modification of parameters, because it is primarily intended for use in data assimilation applications where the goal is to estimate parameters and unmeasured states from recorded data. It is very much a work in progress.
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Release files for spyks 0.7.0
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 |
|---|---|---|---|---|
| spyks-0.7.0.tar.gz | 28.3 kB | Without provenance | Details for spyks-0.7.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| spyks-0.7.0-py3-none-any.whl | Python 3 | none | any | Details for spyks-0.7.0-py3-none-any.whl |
Total release size: 44.7 kB
Release files / spyks-0.7.0.tar.gz
| Download URL | spyks-0.7.0.tar.gz |
|---|---|
| Size | 28.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
a27f1ed174bdb2fc4766d0b440c0cd7ff7ef658c230fc5e99135e24548a3ae28
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.9
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Release files / spyks-0.7.0-py3-none-any.whl
| Download URL | spyks-0.7.0-py3-none-any.whl |
|---|---|
| Size | 16.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
699b1a7f3305193edf54fa7177a10b199d44ffab6b284668576476a543bb96ec
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BLAKE2b-256 checksum How to use checksums |
32dc6ff2b92c161fca85342e9c8e3e3663f749d0ef85dd88f5c78df287ce676a
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.9
|
Security for spyks 0.7.0
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