Migrated from Bitbucket
Input :
Encoding feature (spike feature + linearized position) from the same time bin
Algo :
- create poisson likelihood object based on the stream name (coming from the spikeFeature)
- use add_stimuli method from py-compressed-kde lib
- recompute the model
- save the model
Ouput :
Update the OnlineDecoder processor vis shared state (one with a likelihood map / one with the prior value)
Migrated from Bitbucket
Input :
Encoding feature (spike feature + linearized position) from the same time bin
Algo :
Ouput :
Update the OnlineDecoder processor vis shared state (one with a likelihood map / one with the prior value)