
Strategy classification per epoch
Each trajectory segment labeled with strategy type, duration, and spatial features used for classification.
Classify how animals move, not just where
Automated detection of thigmotaxis, center avoidance, wall-hugging, scanning, and directed movement — spatial strategies that carry more information than distance alone.

Two animals with identical total distance can show very different spatial strategies — one exploring the center, the other hugging the walls. Strategy classification traditionally requires an expert to manually categorize trajectory segments, limiting throughput.
ConductVision segments trajectories into behavioral epochs and classifies each segment using spatial features: wall proximity, angular velocity, path tortuosity, and directionality. Eight named strategies are assigned automatically.

Each trajectory segment labeled with strategy type, duration, and spatial features used for classification.

Proportion of session time in each strategy, number of strategy transitions, and dominant strategy by time bin.

Markov transition probabilities between strategies — which strategy follows which, and how this changes across sessions.
Thigmotaxis ratio is the most widely used open field anxiety measure. Automated strategy classification provides it without custom zone definitions.
Track the transition from random search to scanning to directed swimming across training days — a more sensitive learning measure than latency.
Unilateral lesion models produce characteristic circling patterns. Automated classification detects and quantifies circling without manual observation.
Aged animals use fewer strategy types and show reduced strategy switching. Pattern classification reveals cognitive rigidity.
| Feature | ConductVision | Typical systems |
|---|---|---|
| Strategy classification | Automated, 8 types | Manual expert, 2-3 types |
| Temporal dynamics | Within-session transitions tracked | Single strategy per trial |
| Arena compatibility | Any arena shape | Circular mazes only (water maze) |
| Transition analysis | Markov transition matrix | Not available |
| Throughput | Real-time, unlimited | 5-10 sessions per hour (manual) |

Configurable spatial zones with automated dwell time, entry count, and heatmap analysis for any arena.

Real-time spatial occupancy heatmaps with color-coded density overlays on the arena view.
High-resolution 30 fps tracking that captures sub-second behavioral events conventional systems miss.
Upload open field or maze recordings for automatic locomotor strategy classification.