Track-Control

Track-Control implements automated video-based analysis and closed-loop feedback to perform real-time behavioral monitoring and event-triggered interventions for studies linking neuronal activity, including optogenetic manipulation, to brain circuit function.

Key Features:

• Real-Time Object Detection: Employs computer vision algorithms for real-time object detection of subjects in video streams.
• Low-Latency Closed-Loop Feedback: Delivers low-latency closed-loop feedback to enable temporally precise correlations between neuronal activity and behavioral events.
• Event-Triggered Interventions: Generates event-triggered control signals for real-time interventions, including optogenetic manipulation of neuronal activity.
• Video-Based Behavioral Analysis: Processes continuous video input to quantify and monitor behavioral states and events.
• Broad Behavioral Assay Support: Supports open field, elevated plus maze, Morris water maze, real-time place preference, social interaction, and sensory-induced defensive behavior assays.
• Automation of Experimental Control: Automates detection-to-intervention operations to standardize intervention timing and reduce manual triggering variability.

Scientific Applications:

• Neuroscience: Enables investigation of brain-behavior relationships and brain circuit function through closed-loop behavioral experiments.
• Optogenetics: Provides temporally precise interventions for studies using optogenetic manipulation tied to specific behavioral events or neuronal activity patterns.
• Behavioral Assays: Facilitates automated execution and quantification of a wide range of behavioral assays listed above to assess behavioral outcomes.

Methodology:

Processes video streams using computer vision and real-time object detection algorithms to drive low-latency closed-loop feedback and event-triggered interventions for optogenetic manipulation.