Behavioral Mazes

Continuous Novel Object Recognition

SKU CS-958244
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Behavioral testing system for quantitative assessment of recognition memory and object exploration patterns in laboratory animals using automated tracking capabilities.

CE MarkedBAA available
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Louise Corscadden, PhD, Director of Science

Louise Corscadden, PhD

Director of Science · ConductScience

Ask Louise about Continuous Novel Object Recognition fit, setup, configuration, or quote prep.

Key Specifications

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Model fit
Mouse, Rat
SKU family
CS-958244
Shipping box
65.0 x 36.0 x 27.0 cm
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Quote-reviewed before fulfillment
Category
Behavioral Mazes
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Confirm accessories, station layout, and support needs before purchase
Category: Behavioral Mazes

The Continuous Novel Object Recognition system provides researchers with a standardized platform for assessing recognition memory and exploratory behavior in laboratory animals. This behavioral testing apparatus leverages the innate tendency of animals to explore novel objects more than familiar ones, enabling quantitative measurement of cognitive function without the need for food or water restriction protocols.

The system supports automated tracking of exploration patterns, object interaction times, and discrimination indices across multiple test sessions. Standard protocols typically involve habituation phases followed by training and test phases with systematically varied object presentations, allowing researchers to evaluate both short-term and long-term memory formation under controlled experimental conditions.

How It Works

The Continuous Novel Object Recognition paradigm exploits the natural exploratory preference of animals for novel versus familiar objects. During the training phase, subjects are presented with two identical objects and allowed to explore freely. The system tracks exploration time, defined as active investigation with the nose positioned within a specified distance of the object while facing toward it.

In the subsequent test phase, one familiar object is replaced with a novel object. Animals with intact recognition memory will preferentially explore the novel object, demonstrating discrimination between familiar and unfamiliar stimuli. The discrimination index is calculated as (novel exploration time - familiar exploration time) / (total exploration time), providing a normalized measure of recognition memory performance that accounts for individual differences in total activity levels.

Automated tracking systems record positional data, orientation vectors, and object proximity measurements throughout each session. This eliminates observer bias and enables precise quantification of exploration patterns, approach behaviors, and discrimination performance across extended testing protocols.

Features & Benefits

Automated tracking and analysis
Eliminates observer bias and provides objective quantification of exploration behaviors with precise temporal resolution
Continuous monitoring capability
Enables extended testing protocols and real-time assessment of behavioral changes across multiple experimental phases
Standardized arena configuration
Ensures reproducible testing conditions and enables reliable comparison of results across laboratories and studies
Flexible object presentation protocols
Supports various experimental designs including delay testing, repeated exposures, and complex discrimination paradigms
Integrated data acquisition system
Records comprehensive behavioral metrics including exploration time, approach patterns, and spatial positioning data
No food or water restriction required
Utilizes innate exploratory behavior without confounding effects of motivational state manipulation on performance

Track rodents with ConductVision

ConductVision is our video-tracking software. Record your sessions on video, and it scores standard rodent tests, such as those listed below.

Examples of tests it scores

To check whether ConductVision scores your protocol in this apparatus, ask in your quote request.

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ConductVision

$1,490 per year

A 5-year license is $3,990 in total.

Results export as CSV files.

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