Time-aligned behavioral and physiological data
Behavioral metrics (position, velocity, zone, behavior label) with timestamps synchronized to electrophysiology or imaging frame clocks.
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← Capabilities
Signal Sync
Align behavioral tracking with electrophysiology, calcium imaging, and other data streams
Timestamp-synchronized multi-modal data acquisition — correlate neural activity with behavioral events without post-hoc clock alignment.
Multi-modal
Data stream alignment
Frame-level
Temporal precision
TTL
Sync signal output
Event-locked
Cross-modal averaging
The problem
Post-hoc alignment of behavioral and physiological data is error-prone
Recording behavior on one system and electrophysiology or imaging on another creates alignment challenges. Clock drift, missing sync pulses, and manual timestamp matching introduce errors that propagate through analysis.
- Independent clocks drift over multi-hour recording sessions
- Manual timestamp alignment introduces systematic errors
- Missing or dropped sync pulses create undetectable misalignments
The solution
Shared timeline between behavior and physiology
ConductVision outputs TTL sync signals that external recording systems can capture. Behavioral events and physiological data reference the same time base from acquisition.
- TTL frame-sync pulses align behavioral and physiological timelines
- Event markers embedded in both data streams simultaneously
- No post-hoc alignment step — synchronization happens at acquisition
Endpoints
Time-aligned multi-modal data for cross-domain analysis.
Event-locked averaging
Extract behavioral epochs around physiological events (spikes, calcium transients) or physiological responses around behavioral events (zone entry, freezing onset).
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Cross-modal correlation
Compute temporal correlations between behavioral variables and physiological signals at synchronized time resolution.
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Applications
Signal synchronization enables experiments that combine behavior with neural recording.
Neural correlates of behavioral events
Correlate single-unit or LFP activity with precisely timed behavioral events — zone entries, freezing onset, social approach — without temporal uncertainty.
Measures
- Spike-behavior correlation
- Event-triggered average
- Phase locking
Dopamine dynamics during exploration
Align dopamine transients from fiber photometry with locomotor events, reward encounters, and spatial decisions at frame-level resolution.
Measures
- Signal-behavior alignment
- Event-locked dF/F
- Spatial signal map
Stimulation-evoked behavioral changes
Deliver light stimulation and measure behavioral responses in the same timeline. Quantify latency, magnitude, and duration of stimulation effects.
Measures
- Response latency
- Behavioral change magnitude
- Effect duration
Sleep stage and behavioral state correlation
Synchronize EEG-defined sleep stages with video-based behavioral scoring (immobility, position, posture) for sleep research.
Measures
- Sleep stage alignment
- Behavioral state
- Transition timing
Compared to typical systems
How ConductVision differs
| Feature | ConductVision | Typical systems |
|---|---|---|
| Sync method | TTL frame-sync at acquisition | Post-hoc timestamp matching |
| Temporal precision | Frame-level (33ms at 30fps) | Variable, depends on alignment |
| Multi-modal support | Ephys, photometry, imaging, EEG | TTL output only |
| Event-locked analysis | Built-in | External scripting required |
| Clock drift | None — shared time base | Accumulates over session |
Related capabilities
Native Hardware Integration
Direct apparatus control via serial/TTL from within the tracking interface.
Precision Tracking
High-resolution 30 fps tracking that captures sub-second behavioral events conventional systems miss.
Real-Time Analysis
Live behavioral metrics during acquisition — distance, velocity, and zone occupancy update as the session runs.
Synchronize behavior with your recording system
Connect a TTL cable and start collecting aligned multi-modal data in your next session.
