Create a plot that shows lickspout position, side basis, and auto rewards. Annotate on top of it the decision points for the automatic lick spout. This will help us optimize the lickspout system. Its not totally clear to me if there is any state of the system that can't be reconstructed, or if we need to log more details from the system
Some hyperparameters are only available in the behavior_operational_control_model_....json
Code that executes the logic
https://github.com/AllenNeuralDynamics/dynamic-foraging-task/blob/8b58baa1ed3ccb072c928f4388410879a9be8afc/src/foraging_gui/Foraging.py#L5781
https://github.com/AllenNeuralDynamics/dynamic-foraging-task/blob/8b58baa1ed3ccb072c928f4388410879a9be8afc/src/foraging_gui/Foraging.py#L5839C9-L5839C35
Create a plot that shows lickspout position, side basis, and auto rewards. Annotate on top of it the decision points for the automatic lick spout. This will help us optimize the lickspout system. Its not totally clear to me if there is any state of the system that can't be reconstructed, or if we need to log more details from the system
Some hyperparameters are only available in the
behavior_operational_control_model_....jsonCode that executes the logic
https://github.com/AllenNeuralDynamics/dynamic-foraging-task/blob/8b58baa1ed3ccb072c928f4388410879a9be8afc/src/foraging_gui/Foraging.py#L5781
https://github.com/AllenNeuralDynamics/dynamic-foraging-task/blob/8b58baa1ed3ccb072c928f4388410879a9be8afc/src/foraging_gui/Foraging.py#L5839C9-L5839C35