replay-trajectory-classification - v1.4.1

Full Changelog: https://github.com/Eden-Kramer-Lab/replaytrajectoryclassification/compare/v1.4.0...v1.4.1

- Jupyter Notebook
Published by edeno over 1 year ago

replay-trajectory-classification - V1.3.15

• Handle errors created by using the typing module in versions of python < 3.9

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Published by edeno over 2 years ago

replay-trajectory-classification - v1.3.14

• fix for numpy deprecations
• add dask distributed dependency

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Published by edeno over 2 years ago

replay-trajectory-classification - v1.3.7

• Fix missing function in standard decoder code

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Published by edeno about 3 years ago

replay-trajectory-classification - v1.3.5

• Adds ability to threshold out low occupancy bins in the creation of an environment

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Published by edeno over 3 years ago

replay-trajectory-classification - v1.0.18

• Added functions for estimating the discrete state transition matrix via EM

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Published by edeno almost 4 years ago

replay-trajectory-classification - v1.0.0

• Reorganize code to handle multiple spatial environments
• Consolidate encoding group and environment specifications for each state to Observable Class
• Use scipy for poisson likelihood for maintainability
• Add some experimental code to handle calcium data

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Published by edeno over 4 years ago

replay-trajectory-classification - 0.9.1.dev0

• Handle NaN marks for clusterless integer algorithm

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Published by edeno over 4 years ago

replay-trajectory-classification - 0.9.0.dev0

• Add faster method for calculating the clusterless likelihood if the marks are integers

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Published by edeno over 4 years ago

replay-trajectory-classification - 0.8.11.dev0

• Fix sorted spikes decoder argument for estimating place fields

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Published by edeno over 4 years ago

replay-trajectory-classification - 0.8.10.dev0

• Minor fixes for the previous release

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Published by edeno over 4 years ago

replay-trajectory-classification - 0.8.8.dev0

• Use position_range attribute to set the knot spacing allowing the user to have consistent knots across datasets.

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Published by edeno over 4 years ago

replay-trajectory-classification -

• Make sure integration happens over the correct dimension
• Add simulation code for forward/reverse sequences

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Published by edeno about 5 years ago

replay-trajectory-classification - v0.8.3.dev0

Ensure dataframe carrying information about the bin linear positions is sorted correctly.

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Published by edeno about 5 years ago

replay-trajectory-classification - v0.8.2.dev0

Fix for situations where there's spaces between linearized tracks

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Published by edeno about 5 years ago

replay-trajectory-classification - v0.8.1.dev0

Add ability to distinguish between inbound and outbound trajectories

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Published by edeno over 5 years ago

replay-trajectory-classification - v0.8.0.dev0

• Update to use edge_order specified by a pair of nodes
• Add dependence on track_linearization code for convenience
• Use numpy error model and cache numba functions

- Jupyter Notebook
Published by edeno over 5 years ago

replay-trajectory-classification - v0.7.7.dev0

This is to catch up the release to the pip and conda version. Changes are:

• Make sure edge_dist is of the correct shape in the case with one edge.
• Handle case where there's only one edge.
• Handle NaN position

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Published by edeno over 5 years ago

replay-trajectory-classification - 0.7.6.dev0

• Make sure edge_dist is of the correct shape in the case with one edge.

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Published by edeno almost 6 years ago

replay-trajectory-classification - 0.7.5.dev0

• Handle NaNs in position for clusterless decoding

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Published by edeno almost 6 years ago

replay-trajectory-classification - 0.7.3.dev0

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Published by edeno about 6 years ago

replay-trajectory-classification - v0.4.0.dev0

• Fix continuous state transitions defining what happens when states transitions
• Be more specific with condition where track interior is inferred

- Jupyter Notebook
Published by edeno almost 7 years ago

replay-trajectory-classification - v0.3.1.dev0

• Fix case where track interior is not inferred
• Fix name of random walk functions

- Jupyter Notebook
Published by edeno almost 7 years ago

replay-trajectory-classification - v0.3.0.dev0

• Change back random walk state transition
• Add other types of continuous state transitions
• Penalize the likelihood outside the track
• Add a parameter that specifies whether you want to infer the track interior

- Jupyter Notebook
Published by edeno almost 7 years ago

replay-trajectory-classification - v0.2.2.dev

• Update predict_proba method so that it doesn't specify summing over acausal or causal posterior.

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Published by edeno almost 7 years ago

replay-trajectory-classification - v0.2.1.dev0

• Fix missing networkx dependency

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Published by edeno almost 7 years ago

replay-trajectory-classification - v0.2.0.dev0

• Pulled analysis code into its own repository
• Better default settings for random walk

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Published by edeno almost 7 years ago

replay-trajectory-classification - Initial Release

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Published by edeno almost 7 years ago