This PR adds 2 new packages to the Bonsai.ML namespace. The first package, called Bonsai.ML.NeuralDecoder is a package designed to interface with the bayesian-neural-decoder python package for performing online decoding of neural activity. The second package, Bonsai.ML.NeuralDecoder.Design builds on this package by adding custom visualizers to observe the decoded posterior distribution over time with respect to the prediction, and adds a mashup visualizer to allow the user to overlay the true position of the animal.
Changes
Updated package version to preview
Added visualizer for unidimensional array heatmap time series data
Added new neural decoding package
Make plot model public
Make plot public
Added classes for getting posterior and position range
Added posterior time series heatmap visualizer
Remove position range in favor of a single class
Rename posterior time series heatmap to posterior visualizer
Added mashup visualizer
Exposed methods to specifically update axes
Added get properties to relay current count and length of data array
Change position range to value range
Added default value range mapping
Changed to true position overlay
Updated visualize method to correctly merge source and mashup streams
Call base unload method
Added null checks when showing data
Fixed missing XML comment
Added public getting to retrieve current count information
Initialize heatmap plot with specific properties
Update heatmap to display data correctly in show method
Updated visualize function to make the correct call to the observable visualize
Correctly adding values to the series
Updated name to true position overlay
Added method to update y axis title on load
Added method to update y axis title
Changed name to decoder
Added include workflows
Removed preview from package version
Updated README
Added getting started guide for neural decoder package
Summary
This PR adds 2 new packages to the Bonsai.ML namespace. The first package, called
Bonsai.ML.NeuralDecoderis a package designed to interface with the bayesian-neural-decoder python package for performing online decoding of neural activity. The second package,Bonsai.ML.NeuralDecoder.Designbuilds on this package by adding custom visualizers to observe the decoded posterior distribution over time with respect to the prediction, and adds a mashup visualizer to allow the user to overlay the true position of the animal.Changes