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# Automatic training for the dynamic foraging task
## Overview
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+
Here is a diagram of the [automatic training system](https://github.com/AllenNeuralDynamics/aind-behavior-blog/issues/73) we've been devloping for the dynamic foraging task (those blue arrows on top of our existing [foraging behavior pipeline](https://github.com/AllenNeuralDynamics/aind-foraging-behavior-bonsai-trigger-pipeline))
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| rules | parameters |
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2. Create `AutoTrainManager` and connect it to the behavior database `df_behavior`.
3. Feed all necessary metrics to `Curriculum manager` and let it run.
@@ -37,7 +37,8 @@ This repo is the red circle in the diagram. It will be running on Code Ocean and
## Demo
- Demo notebook for the [curriculum schema](https://nbviewer.org/github/AllenNeuralDynamics/aind-foraging-behavior-bonsai-automatic-training/blob/main/code/aind_auto_train/demo_schema.ipynb).
-- Demo notebook for [a full automation workflow](https://nbviewer.org/github/AllenNeuralDynamics/aind-foraging-behavior-bonsai-automatic-training/blob/main/code/aind_auto_train/demo_manager.ipynb)
+- Demo notebook for [a full automation workflow (auto train manager)](https://nbviewer.org/github/AllenNeuralDynamics/aind-foraging-behavior-bonsai-automatic-training/blob/main/code/aind_auto_train/demo_auto_train_manager.ipynb)
+- Demo notebook for the [curriculum manager](https://nbviewer.org/github/AllenNeuralDynamics/aind-foraging-behavior-bonsai-automatic-training/blob/main/code/aind_auto_train/demo_curriculum_manager.ipynb)
## Compared with SLIMS/mTrack
See [this thread](https://github.com/AllenNeuralDynamics/aind-behavior-blog/discussions/124)