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Ethan P. McNaughton; Liam Bilbie; Matea Zuljevic; Lauren K. Allen; Daiana-Roxana Pur; Roy Eagleson; Sandrine Ribaupierre – Anatomical Sciences Education, 2025
In this article, we introduce a new virtual application that offers an interactive model of the brain for neuroanatomy education. Through a dual-platform architecture, the application can be downloaded on both desktop and mobile devices, with the mobile app leveraging unique capacities of modern handheld systems to deploy the brain model in…
Descriptors: Undergraduate Students, Anatomy, Brain, Science Instruction
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Oliveira, André de Sá Braga; Leonel, Luciano César P. C.; LaHood, Edward R.; Hallak, Hana; Link, Michael J.; Maleszewski, Joseph J.; Pinheiro-Neto, Carlos D.; Morris, Jonathan M.; Peris-Celda, Maria – Anatomical Sciences Education, 2023
Hands-on dissections using cadaveric tissues for neuroanatomical education are not easily available in many educational institutions due to financial, safety, and ethical factors. Supplementary pedagogical tools, for instance, 3D models of anatomical specimens acquired with photogrammetry are an efficient alternative to democratize the 3D…
Descriptors: Guidelines, Anatomy, Computer Simulation, Models
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Bibic, Lucka; Druskis, Justinas; Walpole, Samuel; Angulo, Jesus; Stokes, Leanne – Journal of Chemical Education, 2019
Virtual reality (VR) technology has been capturing the public imagination for decades. VR software applications that allow for interactive immersion are emerging as a renowned medium in many areas, including educating the public in biochemistry-related subjects via public engagement events. This report provides information about an immersive,…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Computer Software
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Rushton, Simon K.; Bradshaw, Mark F.; Warren, Paul A. – Cognition, 2007
An object that moves is spotted almost effortlessly; it "pops out." When the observer is stationary, a moving object is uniquely identified by retinal motion. This is not so when the observer is also moving; as the eye travels through space all scene objects change position relative to the eye producing a complicated field of retinal motion.…
Descriptors: Motion, Brain, Eye Movements, Computer Simulation
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Guenther, Frank H.; Ghosh, Satrajit S.; Tourville, Jason A. – Brain and Language, 2006
This paper describes a neural model of speech acquisition and production that accounts for a wide range of acoustic, kinematic, and neuroimaging data concerning the control of speech movements. The model is a neural network whose components correspond to regions of the cerebral cortex and cerebellum, including premotor, motor, auditory, and…
Descriptors: Syllables, Models, Computer Simulation, Acoustics
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Lamontagne, Claude; Desjardins, Francois; Benard, Michele – British Journal of Educational Technology, 2007
Managing the pedagogical aspects of the "computational turn" that is occurring within the Humanities in general and the disciplines associated with cognitive science and neuroscience in particular, first implies facing the challenge of introducing students to computation. This paper presents what has proven to be an efficient approach to bringing…
Descriptors: Laboratories, Computer Simulation, Spreadsheets, Humanities
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Liu, Dennis – CBE - Life Sciences Education, 2006
The human brain contains an estimated 100 billion neurons, and browsing the Web, one might be led to believe that there's a Web site for every one of those cells. It's no surprise that there are lots of Web sites concerning the nervous system. After all, the human brain is toward the top of nearly everyone's list of favorite organs and of…
Descriptors: Web Sites, Anatomy, Educational Media, Brain