Closed-loop Control

Intelligent Closed-loop Behavior Detection System

AI-Driven · Real-time Response

Real-time animal behavior monitoring with AI-driven precise recognition and closed-loop feedback control. High-precision position and pose tracking for single or multiple animals — deep learning detects user-defined behavior patterns and triggers external devices (optogenetics, electrophysiology stimulators, recording systems, etc.) via flexible rules for seamless detect-to-intervene closed loops.

AI

Behavior ID

Real-time

Loop trigger

Multi

Device sync

Sense → Act Loop Loop active
SENSEAIRULEACTLOOP

Features

Integrating behavior sensing, intelligent classification, and device intervention in one real-time chain — upgrading experiments from passive observation to active closed-loop control.

01

Real-time behavior monitoring

Continuous capture of position, pose, and activity — single or multi-animal sync tracking with full behavioral timelines.

02

AI precise behavior recognition

Deep learning detects user-defined behavior patterns — fewer false triggers, more targeted intervention.

03

Closed-loop feedback control

Flexible rules drive optogenetics, electrophysiology, recording, and more — integrated detection and intervention.

Behavior Detection

High-precision sensing layer — reliable, low-latency behavioral input for closed-loop control.

3D

Position & pose tracking

High-precision 3D position and pose estimation for fine behavior classification and spatial triggers.

N

Multi-animal sync

Individual ID binding and parallel tracking for social and competitive paradigms.

DL

Deep learning recognition

User-defined target behavior classes — models trained and deployed for recognition.

<ms

Low-latency detection

Millisecond-scale detection pipeline for time-sensitive optogenetic and electrophysiological intervention.

Rule

Flexible rule engine

Combine behavior conditions, time windows, and logic for custom trigger strategies.

Log

Full-chain logging

Synchronized logs of behavior, classification, and device triggers for replay and publication.

Closed-loop Control

From intelligent detection to precise intervention — a configurable, extensible closed-loop execution layer.

01

Behavior capture

Real-time multimodal video and sensor input

02

AI recognition

Match user-defined target behavior patterns

03

Rule evaluation

Configured logic decides whether to trigger intervention

04

Device action

Drive external stimulation/recording devices

Optogenetics

Behavior-triggered optical stimulation for causal circuit intervention

Electrophysiology

Timed or conditional stimulation via linked stimulators

Recording systems

Auto start/mark sync recording windows aligned to behavior events

Other I/O

Custom external device interface extensions supported

Applications

For causal circuit intervention, behavior-contingent stimulation, and automated experiments.

01

Causal circuit research

Precise optogenetic or electrical stimulation at specific behaviors — parse circuit function.

02

Behavior-contingent paradigms

Animal spontaneous behavior as trigger — closed-loop learning or reward-association tasks.

03

Long-term automated monitoring

24/7 monitoring with conditional intervention — less manual oversight and operator bias.

04

Multimodal data alignment

Align behavior events with electrophysiology, imaging, and other timestamped recordings.

Specifications

Modular architecture for lab-specific device and paradigm integration.

CoreReal-time monitoring · AI recognition · closed-loop trigger
TrackingSingle / multiple animals
DevicesOptogenetics · electrophysiology · recording · extensible I/O
RulesVisual rule editor · flexible logic composition
DeploymentSystem integration · device commissioning · custom paradigms

Book Closed-loop Detection Demo

Contact us for AI behavior recognition, rule configuration, and device integration — build your intelligent closed-loop platform.