Literature DB >> 18411560

Maze Suite 1.0: a complete set of tools to prepare, present, and analyze navigational and spatial cognitive neuroscience experiments.

Hasan Ayaz1, Sarah L Allen, Steven M Platek, Banu Onaral.   

Abstract

Maze Suite is a complete set of tools that enables researchers to perform spatial and navigational behavioral experiments within interactive, easy-to-create, and extendable (e.g., multiple rooms) 3-D virtual environments. Maze Suite can be used to design and edit adapted 3-D environments, as well as to track subjects' behavioral performance. Maze Suite consists of three main applications: an editing program for constructing maze environments (MazeMaker), a visualization/rendering module (MazeWalker), and an analysis and mapping tool (MazeViewer). Each of these tools is run and used from a graphical user interface, thus making editing, execution, and analysis user friendly. MazeMaker is a .NET architecture application that can easily be used to create new 3-D environments and to edit objects (e.g., geometric shapes, pictures, landscapes, etc.) or add them to the environment effortlessly. In addition, Maze Suite has the capability of sending signal-out pulses to physiological recording devices, using standard computer ports. Maze Suite, with all three applications, is a unique and complete toolset for researchers who want to easily and rapidly deploy interactive 3-D environments.

Entities:  

Mesh:

Year:  2008        PMID: 18411560     DOI: 10.3758/brm.40.1.353

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  18 in total

1.  Error detection and error memory in spatial navigation as reflected by electrodermal activity.

Authors:  Lisa Holper; Natalie Jäger; Felix Scholkmann; Martin Wolf
Journal:  Cogn Process       Date:  2013-05-23

2.  PandaEPL: a library for programming spatial navigation experiments.

Authors:  Alec Solway; Jonathan F Miller; Michael J Kahana
Journal:  Behav Res Methods       Date:  2013-12

3.  Temporal and spatial contiguity are necessary for competition between events.

Authors:  Estibaliz Herrera; José A Alcalá; Toru Tazumi; Matthew G Buckley; José Prados; Gonzalo P Urcelay
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2022-03       Impact factor: 3.051

Review 4.  OpenMaze: An open-source toolbox for creating virtual navigation experiments.

Authors:  Kyle Alsbury-Nealy; Hongyu Wang; Cody Howarth; Alex Gordienko; Margaret L Schlichting; Katherine D Duncan
Journal:  Behav Res Methods       Date:  2021-09-01

5.  DeFINE: Delayed feedback-based immersive navigation environment for studying goal-directed human navigation.

Authors:  Kshitij Tiwari; Ville Kyrki; Allen Cheung; Naohide Yamamoto
Journal:  Behav Res Methods       Date:  2021-05-23

6.  Using MazeSuite and functional near infrared spectroscopy to study learning in spatial navigation.

Authors:  Hasan Ayaz; Patricia A Shewokis; Adrian Curtin; Meltem Izzetoglu; Kurtulus Izzetoglu; Banu Onaral
Journal:  J Vis Exp       Date:  2011-10-08       Impact factor: 1.355

7.  Learned predictiveness training modulates biases towards using boundary or landmark cues during navigation.

Authors:  Matthew G Buckley; Alastair D Smith; Mark Haselgrove
Journal:  Q J Exp Psychol (Hove)       Date:  2014-11-20       Impact factor: 2.143

8.  The developmental trajectory of intramaze and extramaze landmark biases in spatial navigation: An unexpected journey.

Authors:  Matthew G Buckley; Mark Haselgrove; Alastair D Smith
Journal:  Dev Psychol       Date:  2015-04-06

9.  Shape shifting: Local landmarks interfere with navigation by, and recognition of, global shape.

Authors:  Matthew G Buckley; Alastair D Smith; Mark Haselgrove
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2013-11-18       Impact factor: 3.051

10.  Blocking spatial navigation across environments that have a different shape.

Authors:  Matthew G Buckley; Alastair D Smith; Mark Haselgrove
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2015-11-16       Impact factor: 2.478

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