Collection of python code in Kavli lab.
Project description
opexebo
This library provides various analysis tools written by and for the Moser group at the Kavli Institute in Trondheim.
The package contains a mixture of translations of the older MatLab based Behavioural Neurology Toolbox, and other functions written only in Python 3, as part of the transition towards providing open access to research code.
Documentation
Specifications and documentation for opexebo
are available on Read the Docs.
Installation
Install with pip:
pip install opexebo
Opexebo has an optional dependency, sep
, that is not installed by default. To be able to install it, you require a C++ compiler installed on your system. On Linux, gcc
will do the job. On Windows, the the Microsoft Visual C++ Build Tools fulfil the same role (https://www.microsoft.com/en-us/download/details.aspx?id=48159). To force installation of all optional dependencies, append [full]
to the install command, for example:
pip install opexebo[full]
History
0.5.2 (2021-04-19)
- Support 1D data in spatial occupancy and ratemap
- Add Opexebo-specific errors
- Add automated testing prior to release
- Add
calculate_speed
- Add `egocentric_occupancy``
- Fixed an edge case error in
accumulate_spatial
0.4.3 (2020-02-19)
- Substantial cleanup to
accumulate_spatial
- Function was mathematically correct but confusing, due to the difference between opexebo's standard of
(x, y)
and NumPy's standard of(y, x)
- Function was mathematically correct but confusing, due to the difference between opexebo's standard of
- Added
upsampling
- Added
circular_mask
- Mandatory keyword arguments have been made positional
peak_search
updated to handle issues with MaskedArrays containing negative values- Dcumentation expanded, made Sphinx compatible, and published on ReadTheDocs
- Further work on BorderScore, still experimental though
- Functional for Rectangular arenas
- Circular arenas are still WIP, should not be relied upon yet.
0.4.2 (2020-02-05)
- Speedscore modified substantially
- Adaptive filtering added, allowing the user to specify an upper speed as a bandwidth
- Adaptive filtering adjusted to behave more sensibly in the case of small bin sizes
- Speeds are smoothed before correlating
- Spatial cross correlation added
- General
bin_number
tobin_size
code refactored to make future development more consistent - Assorted unit tests added, including run-once code removed for speed
- Fix errors associated with
>
where applied to MaskedArrays (which, unlike ndarrays, do not correctly obey the symbol)
0.4.0 (2019-12-10)
- Ratemaps updated to handle walk filter (signature now requires providing animal speeds)
- Angular occupancy coverage calculation corrected
- circular arenas now handled in Spatial Occupancy
- Population Vector Correlation added
0.3.5 (2019-11-18)
- Assorted bugfixes to HDtuning
- Gridscore to handle NaNs more gracefully
0.3.4 (2019-20-25)
sep
made an optional dependency- Alternative, non
sep
based code usesskimage
- Attempting to use
sep
if not installed with raise an error
0.3.2 (2019-09-20)
- Consistent calculating of bin numbers when histogramming
0.3.0 (2019-08-27)
- Third development release
- Improve NaN handling throughout by moving to MaskedArrays
- Fix Angular handling to function in seconds instead of frames
- Remove matplotlib from requirements
0.2.0
- Second development release
- Implementation of time-map -> rate-map -> (acorr, gridness score)
- Implementation of rate-map stats, grid stats
- Implementation of angular-map -> tuning-curve -> head direction score, stats.
- Non-production-ready implementation of border-score, speed-score.
0.1.0 (2018-08-30)
- First development release
- Implementation of gridness score, autocorrelogram, place-field detection
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