Behavioral Mazes

Visual X Maze (ViS4M)

$3,890.00 - $4,990.00

X-shaped four-arm maze with programmable LED illumination for visual discrimination learning and spatial memory assessment in mice and rats.

Species: Rat
$4,990.00
Key Specifications
arm_length45 cm
arm_width10 cm
arm_height15 cm
maze_designX-shaped
number_of_arms4
floor_plates4 transparent and 4 semi-transparent white
SKU:CS-958369
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The complete Visual X Maze workflow

Track behavior

No exact ConductVision support page is currently published for Visual X Maze; keep this as a roadmap gap rather than linking to a guessed URL.

Supporting page not yet built

Run protocol

Stepwise visual-cue choice setup, trial timing, exclusion rules, and reporting checkpoints.

ConductMaze Visual X Maze Protocol ->

Analyze output

No exact calculator page is currently published for Visual X Maze; keep this as a roadmap gap rather than linking to a guessed URL.

Supporting page not yet built

Configuration considerations

Common Visual X Maze setup decisions

Use these notes to scope species, cohort, tracking, and automation needs. Only verified product or support routes are linked from this section.

This productStandard

Visual X Maze

Four-choice X-shaped maze with visual cue or arm-discrimination options

visual discrimination, route choice, cue learning, and flexible arm selection.

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BuyableScaled option

Visual X Maze Species Variant

Mouse, rat, aquatic, insect, or large-animal scaling as appropriate

Use species-specific dimensions and lighting so the apparatus tests the intended construct instead of body size, visibility, or handling tolerance.

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SpecialtyAutomation

Visual X Maze With Tracking

Camera, gates, sensors, cue control, or event logging as required

Best when the protocol needs reproducible timing, high-throughput scoring, or defensible endpoint extraction across cohorts.

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§ 1

Introduction

The Visual X Maze is a choice and decision assay built around visual discrimination, route choice, cue learning, and flexible arm selection. Interpretable data depend on matching the apparatus geometry, subject species, trial structure, and scoring rules to the behavioral construct under study. 1

Visual-cue choice protocols depend on stable geometry, consistent trial timing, and pre-defined scoring rules. Without those controls, correct choices can be shifted by motivation, locomotion, light level, odor, cue salience, or handling rather than the intended behavioral construct. 1

This methods section summarizes setup, endpoint definitions, common confounds, sample output, adjacent assays, and reporting details needed to evaluate Visual X Maze results alongside the product specifications. 1

§ 2

Methods

2.1 Procedure

Visual-cue choice with standardized setup, trial timing, and endpoint extraction.

Pre-test setup

  1. 1.Define constructPre-register whether the study uses Visual X Maze for choice and decision behavior, screening, cohort comparison, or apparatus validation.
  2. 2.Calibrate apparatusVerify four-choice x-shaped maze with visual cue or arm-discrimination options, visibility, lighting, surface condition, cue placement, and camera field of view before animals enter the room.
  3. 3.Set scoring rulesDefine correct choices, omissions, exclusions, latency cutoffs, and event thresholds before acquisition starts.
  4. 4.Control carryoverUse consistent cleaning, handling, acclimation, and inter-trial timing so odor, stress, and fatigue do not become hidden treatment variables.

Trial sequence

  1. 1.Start trialPlace the subject at the protocol-defined start location and begin synchronized video or event logging.
  2. 2.Record behaviorCapture correct choices, path order, latency, dwell time, and relevant zone or arm events throughout the trial.1
  3. 3.Apply endpoint rulesScore only committed entries or events that meet the pre-defined body-position and timing criteria.
  4. 4.End and resetStop at the maximum duration, completion criterion, or humane endpoint, then clean and reset the apparatus.
  5. 5.Export QCReview tracking loss, outlier latency, immobility, omissions, and apparatus notes before group-level analysis.

Critical methodological constraints

  • Cue salience. Document cue salience because it can shift correct choices independent of the intended construct.
  • Side bias. Keep side bias stable across cohorts and sessions.
  • Lighting. Audit lighting before interpreting group differences.
  • Motivation. Report motivation when it changes engagement, exploration, or measurable trial completion.
  • Visual acuity. Flag visual acuity during QA because it often explains apparent assay failure.2

2.2 Measurement & Analysis

Core Visual X Maze endpoints for behavioral interpretation and apparatus quality control.

Correct choices

Cue-guided accuracy

Correct choices is the primary endpoint for this page and should be paired with latency and quality-control flags.1

Choice latency

Latency and initiation

Choice latency helps distinguish task performance from motivation, freezing, fatigue, or handling effects.

Cue-arm sequence

Spatial or zone strategy

Cue-arm sequence captures how the subject solved the task, not only whether it reached the endpoint.

Omissions

Engagement control

Omissions identifies omissions, low exploration, sensor dropouts, or species-specific non-response.

Cue visibility issues

Quality-control flag

Cue visibility issues should be reviewed before exporting final group summaries.

+ Additional metrics: trial duration, zone dwell, event count, path efficiency, tracking confidence, exclusions, and session-level notes.

2.3 correct choices ratio (analysis)

A compact percentage summary for Visual X Maze output.

Inline calculator

Type the values your tracker recorded.

Correct choices ratio

75.0%

Formula: correct choices / (correct choices + incorrect choices) x 100. Interpret with latency, engagement, and confound checks before making construct-level claims. 1

§ 3

Results

Aggregate publication data, sample apparatus output, and recent findings from the live PubMed feed.

3.1 Publication trends

PubMed volume and co-occurring behavioral methods for Visual X Maze studies.

Figure 1 · EPM publications by year (PubMed)

The paradigm has been dominant for 40 years and is still growing.

Live · Weekly

2000201020202025 YTD: 34 papers

Total in PubMed since 1985: 882+ papers. Updated 2026-05-12.

Figure 2 · Methods co-occurring with EPM (last 12 months)

Other paradigms most often run alongside EPM in the same paper.

Live

3.2 Sample apparatus output

Representative Visual X Maze output for methods review and endpoint interpretation.

Table 1 · Per-animal EPM scoring output

Download sample CSV →
AnimalGroupCorrect choicesChoice latencyCue-arm sequenceSummary
VXM-001Control194 scue-left79.2%
VXM-002Control175 scue-right70.8%
VXM-003Impaired119 sside-biased45.8%
VXM-004Impaired1011 srandom41.7%

Synthetic example for illustration only. Replace with tracked output screenshots or exported data when product media are available.

3.3 Recent methods context

  • May 2026Source note

    Visual X Maze methods refresh: endpoint definitions, QA flags, and comparator assays

    ConductScience methods note prepared for citation review.

    The first citation-cron pass should replace this editorial seed with current Visual X Maze methods papers filtered for apparatus, protocol, and endpoint relevance.

View all 882matching papers on PubMed ->

§ 4

Discussion

Limitations of the paradigm, methodological caveats, and current directions.

4.1 Common confounds

Variables that shift Visual X Maze results independent of anxiety state.

Cue salience

Cue salience can change apparent Visual X Maze performance without reflecting the intended behavioral construct. Control it in setup and report it in methods.

Side bias

Side bias can change apparent Visual X Maze performance without reflecting the intended behavioral construct. Control it in setup and report it in methods.

Lighting

Lighting can change apparent Visual X Maze performance without reflecting the intended behavioral construct. Control it in setup and report it in methods.

Motivation

Motivation can change apparent Visual X Maze performance without reflecting the intended behavioral construct. Control it in setup and report it in methods.

Visual acuity

Visual acuity can change apparent Visual X Maze performance without reflecting the intended behavioral construct. Control it in setup and report it in methods.

4.2 Construct validity caveats

Visual X Maze is strongest when endpoint definitions, apparatus settings, and exclusion rules are specified before testing. Treat a single summary metric as a screening signal, then confirm interpretation with latency, engagement, comparator assays, and quality-control review. 1

4.3 Special considerations

When should I choose Visual X Maze?

Choose Visual X Maze when the research question matches visual discrimination, route choice, cue learning, and flexible arm selection. and the lab can control cue salience, side bias, and trial timing.

What setup variables should be specified before testing?

Specify species, cohort size, apparatus dimensions, lighting, tracking method, automation level, cleaning workflow, endpoint definitions, and exclusion criteria before data collection begins.

What makes the data interpretable?

Interpretation is strongest when the apparatus configuration, trial timing, scoring thresholds, confound controls, and comparator assays are documented together with the primary endpoint.

4.4 Current directions

Quarterly editorial review of emerging Visual X Maze methodology. Q2 2026

Methods

Endpoint standardization

Define correct choices, latency, exclusions, and engagement flags before comparing cohorts.

Emerging

Automated scoring

Camera and event-log workflows can reduce observer burden and improve consistency when zone definitions and event thresholds are validated.

Methods

Comparator batteries

Visual X Maze should link to adjacent maze, motor, or motivation assays when interpretation depends on controls.

Emerging

Integrated method reporting

Apparatus dimensions, protocol fit, tracking compatibility, and endpoint definitions should be reported together so results are easier to reproduce.

§ 5

References

10 selected methods and validation references for Visual X Maze.

  1. Dudchenko PA. An overview of the tasks used to test working memory in rodents. Neurosci Biobehav Rev. 2004;28(7):699-709. doi:10.1016/j.neubiorev.2004.09.002
  2. Shoji H, et al. Comprehensive behavioral test battery for mice. Curr Protoc Mouse Biol. 2012;2:153-187. Find source
  3. Vorhees CV, Williams MT. Assessing spatial learning and memory in rodents. ILAR J. 2014;55(2):310-332. Find source
  4. Lalonde R. The neurobiological basis of spontaneous alternation. Neurosci Biobehav Rev. 2002;26(1):91-104. doi:10.1016/S0149-7634(01)00041-0
  5. Walf AA, Frye CA. The use of the elevated plus maze as an assay of anxiety-related behavior in rodents. Nat Protoc. 2007;2(2):322-328. doi:10.1038/nprot.2007.44
  6. Pellow S, Chopin P, File SE, Briley M. Validation of open:closed arm entries in an elevated plus-maze as a measure of anxiety in the rat. J Neurosci Methods. 1985;14(3):149-167. doi:10.1016/0165-0270(85)90031-7
  7. Crawley JN, Goodwin FK. Preliminary report of a simple animal behavior model for the anxiolytic effects of benzodiazepines. Pharmacol Biochem Behav. 1980;13(2):167-170. doi:10.1016/0091-3057(80)90067-2
  8. File SE, Wardill AG. Validity of head-dipping as a measure of exploration in a modified hole-board. Psychopharmacologia. 1975;44(1):53-59. Find source
  9. Walsh RN, Cummins RA. The Open-Field Test: a critical review. Psychol Bull. 1976;83(3):482-504. doi:10.1037/0033-2909.83.3.482
  10. Brown RE, Corey SC, Moore AK. Differences in measures of exploration and fear in MHC-congenic C57BL/6J and B6-H-2K mice. Behav Genet. 1999;29(4):263-271. Find source
Visual X Maze (ViS4M)
Visual X Maze (ViS4M)
$3,890.00
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