← Capabilities

Novel Object Recognition

Automated recognition memory scoring with configurable object zones

Quantify exploration time, discrimination index, and preference ratio for 2-object and 4-object NOR paradigms — no manual stopwatch scoring.

Novel Object Recognition
2-4
Object configurations supported
97%
Object interaction detection
33ms
Interaction timing precision
3
Standard discrimination indices
The problem

Novel object scoring is subjective and labor-intensive

NOR requires timing how long an animal explores each object. "Exploration" is defined as nose within 2 cm and oriented toward the object — a judgment call that varies across scorers and fatigues over long sessions.

  • Defining "exploration" (proximity + orientation) is subjective and inconsistent
  • Dual-stopwatch scoring for two objects simultaneously introduces timing errors
  • Four-object variants are nearly impossible to score manually in real time
The solution

Proximity-based interaction detection with orientation filtering

ConductVision defines configurable proximity zones around each object. Exploration is scored when the animal nose point enters the zone and head direction is oriented toward the object — matching the standard criterion, applied consistently.

  • Configurable proximity zones (1-5 cm radius) around each object
  • Head direction filtering ensures only oriented investigation counts as exploration
  • Supports 2-object (standard NOR) and 4-object (spatial NOR) configurations
Endpoints

Recognition memory dependent variables

Exploration time per object

Exploration time per object

Cumulative exploration time for each object across the full session and per time bin. Includes bout count and mean bout duration.

CSVJSON
Discrimination indices

Discrimination indices

Standard d1 (difference), d2 (difference/total), and d3 (ratio) discrimination indices computed automatically.

CSV
Interaction event log

Interaction event log

Every exploration bout with onset, offset, object identity, and proximity distance for detailed behavioral microstructure analysis.

CSVJSON
Applications

Recognition and memory paradigms

Recognition memory

Standard novel object recognition

The classic NOR paradigm with familiarization and test phases. Automated discrimination index replaces manual scoring.

Measures
  • Discrimination index (d2)
  • Total exploration time
  • Latency to first exploration
Spatial memory

Object location memory

Object displacement variant where one familiar object is moved to a new location. Automated scoring detects spatial preference.

Measures
  • Displaced object preference
  • Location discrimination index
  • Exploration per location
Temporal order memory

Recency discrimination

Which of two familiar objects was presented more recently? Automated scoring of recency preference across varying inter-trial intervals.

Measures
  • Recency preference ratio
  • Exploration time difference
  • ITI effect on discrimination
Cognitive decline

Alzheimer model memory screening

NOR discrimination index declines with age in AD models. Automated scoring enables longitudinal tracking across large cohorts.

Measures
  • Discrimination index by age
  • Exploration motivation (total time)
  • Age of discrimination failure
Compared to typical systems

How ConductVision differs

FeatureConductVisionTypical systems
Exploration criterionProximity + head directionProximity only or manual judgment
Multi-object support2-object and 4-object variants2-object only in most systems
Discrimination index calculationd1, d2, d3 — all three standardUsually one index, varies by system
Object zone configurationAdjustable radius per objectFixed zones
Bout-level dataEvery interaction event loggedCumulative totals only

Consistent NOR scoring across every cohort

Upload NOR recordings and compare automated discrimination indices to manual scores.