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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
Nadav Aridan; Michal Bernstein-Eliav; Dana Gamzo; Maya Schmeidler; Niv Tik; Ido Tavor – Anatomical Sciences Education, 2024
Anatomy studies are an essential part of medical training. The study of neuroanatomy in particular presents students with a unique challenge of three-dimensional spatial understanding. Virtual Reality (VR) has been suggested to address this challenge, yet the majority of previous reports have implemented computer-generated or imaging-based models…
Descriptors: Anatomy, Neurology, Electronic Learning, Computer Simulation
Zagorskis, Viktors; Kapanieks, Atis; Gorbunovs, Aleksandrs; Kadakovska, Zane – International Association for Development of the Information Society, 2018
Complex mathematical approaches exist in biological, social, and educational sciences, creating models to understand and explain cognition processes in human brain. Yet, the logged raw data is just an initial learners' behavior footprint in Virtual Learning Environments. Exploratory Data analysis would help to deepen the understanding of cognition…
Descriptors: Learning Processes, Cognitive Ability, Electronic Learning, Brain
Lerner, Itamar; Bentin, Shlomo; Shriki, Oren – Cognitive Science, 2012
Localist models of spreading activation (SA) and models assuming distributed representations offer very different takes on semantic priming, a widely investigated paradigm in word recognition and semantic memory research. In this study, we implemented SA in an attractor neural network model with distributed representations and created a unified…
Descriptors: Priming, Memory, Models, Word Recognition
Girija, C. – Educational Research and Reviews, 2014
The simulation of human mind often helps in the understanding of abstract concept by representing it in a realistic model and simplistic way so that a learner develops an understanding of the key concepts. Bian (1873) and James (1890) in their work suggested that thoughts and body activity result from interactions among neurons within the brain.…
Descriptors: Simulation, Human Body, Brain, Problem Solving
Sutton, Jennifer E.; Joanisse, Marc F.; Newcombe, Nora S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2010
Recent studies have used spatial reorientation task paradigms to identify underlying cognitive mechanisms of navigation in children, adults, and a range of animal species. Despite broad interest in this task across disciplines, little is known about the brain bases of reorientation. We used functional magnetic resonance imaging to examine neural…
Descriptors: Cues, Computer Simulation, Brain, Geometric Concepts
Weisz, Victoria I.; Argibay, Pablo F. – Cognition, 2009
New neurons are generated daily in the hippocampus during adult life. They are integrated into the existing neuronal circuits according to several factors such as age, physical exercise and hormonal status. At present, the role of these new neurons is debated. Computational simulations of hippocampal function allow the effects of neurogenesis to…
Descriptors: Exercise, Memory, Inferences, Brain
Verguts, Tom; Notebaert, Wim – Psychological Review, 2008
The conflict monitoring model of M. M. Botvinick, T. S. Braver, D. M. Barch, C. S. Carter, and J. D. Cohen (2001) triggered several research programs investigating various aspects of cognitive control. One problematic aspect of the Botvinick et al. model is that there is no clear account of how the cognitive system knows where to intervene when…
Descriptors: Conflict, Models, Behavior Theories, Self Control
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Nowinski, Wieslaw L.; Thirunavuukarasuu, Arumugam; Volkau, Ihar; Marchenko, Yevgen; Aminah, Bivi; Gelas, Arnaud; Huang, Su; Lee, Looi Chow; Liu, Jimin; Ng, Ting Ting; Nowinska, Natalia G.; Qian, Guoyu Yu; Puspitasari, Fiftarina; Runge, Val M. – Anatomical Sciences Education, 2009
The increasing complexity of human body models enabled by advances in diagnostic imaging, computing, and growing knowledge calls for the development of a new generation of systems for intelligent exploration of these models. Here, we introduce a novel paradigm for the exploration of digital body models illustrating cerebral vasculature. It enables…
Descriptors: Medical Education, Models, Human Body, Brain
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
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers