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Welcome

Visual Reactive Programming with Bonsai

This training course will introduce you to the basic concepts of data acquisition and behavioural control using the Bonsai{:target="_blank"} visual programming language.

Course Schedule

Tuesday Wednesday Thursday Friday Monday
Seminar Introduction to Bonsai Reactive Operators Higher Order Operators BonVision Wrap-up
Recap Object Tracking Data Synchronization State Machines
Workshop Acquisition and Tracking Closed-loop experiments Operant behavior Visual environments Final projects

Day 1 - Introduction to Bonsai

  • Introduction to Bonsai. What is visual reactive programming?
  • How to measure almost anything with Bonsai (from quantities to bytes).
  • How to control almost anything with Bonsai (from bytes to effects).
  • Real-time tracking of colored objects, moving objects and contrasting objects.
  • Measuring behavior using voltages and an Arduino.

Day 2 - Real-time closed-loop experiments

  • Data synchronization and measuring closed-loop latency.
  • Conditional effects. Triggering a stimulus based on video activity.
  • Continuous feedback. Modulate stimulus intensity with speed or distance.
  • Feedback stabilization. Record video centered around a moving object.
  • Real-time markerless pose tracking using Bonsai + DeepLabCut{:target="_blank"} and Bonsai + SLEAP{:target="_blank"}.

Day 3 - Operant behavior tasks

  • Creating dynamic observable sequences with higher-order operators.
  • Modeling trial sequences: states, events, and side-effects.
  • Driving state transitions with external inputs.
  • Choice, timeouts and conditional logic. Building reaction time and Go/No-Go tasks.
  • Best practices for composing complex workflows.

Day 4 - Interactive visual environments

  • Creating and controlling visual environments with BonVision{:target="_blank"}.
  • Building closed-loop virtual reality experiments.
  • Combining real-time and non real-time logic.
  • Building variable trial structures.
  • Logging stimulus and response outcomes.

Day 5 - Wrap-up

  • How to extend Bonsai with scripting.
  • Reproducible deployment and versioning of experiments.
  • Interfacing Bonsai with Python and MATLAB.
  • Bonsai hackathon and project presentations.
  • Closing remarks.