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De Garrido, Luis – Creativity Research Journal, 2022
The main objective of this paper is the conceptual design of a computational AI system that emulates human creativity. To do this, extensive research has been done on recent discoveries about the neural bases of human creativity. As a result, eleven neurocognitive factors have been identified on which the tremendous creative capacity of the human…
Descriptors: Artificial Intelligence, Brain, Creativity, Program Design
Mazefsky, Carla A.; Collier, Amanda; Golt, Josh; Siegle, Greg J. – Autism: The International Journal of Research and Practice, 2020
Emotion dysregulation is common in autism spectrum disorder; a better understanding of the underlying neural mechanisms could inform treatment development. The tendency toward repetitive cognition in autism spectrum disorder may also increase susceptibility to perseverate on distressing stimuli, which may then increase emotion dysregulation.…
Descriptors: Cognitive Processes, Emotional Response, Self Control, Information Processing
Jena, Ananta Kumar; Panda, Bhujendranath – Journal on Educational Psychology, 2017
The study aimed to know how does mind-map software assess the representation of learners' knowledge and how brain tester software assess the performance of left, right, auditory, and visual lobes of the brain to represent information. It also aimed to study the differential effectiveness of audio, visual, and audio-visual information to represent…
Descriptors: Computer Software, Cognitive Processes, Brain, Brain Hemisphere Functions
Vogan, V. M.; Morgan, B. R.; Leung, R. C.; Anagnostou, E.; Doyle-Thomas, K.; Taylor, M. J. – Journal of Autism and Developmental Disorders, 2016
Diffusion tensor imaging studies show white matter (WM) abnormalities in children with autism spectrum disorder (ASD). However, investigations are often limited by small samples, particularly problematic given the heterogeneity of ASD. We explored WM using DTI in a large sample of 130 children and adolescents (7-15 years) with and without ASD,…
Descriptors: Autism, Pervasive Developmental Disorders, Brain, Children
Kalbfleisch, M. Layne – Roeper Review, 2008
This article presents an interview with Michael W. O'Boyle, a neuroscientific investigator of high mathematical ability. O'Boyle is a professor in the Department of Human Development and Family Studies, Texas Tech University, and Adjunct Professor of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center.…
Descriptors: Brain Hemisphere Functions, Investigations, Gifted, Sciences
Patel, Urvi J.; Hellige, Joseph B. – Brain and Cognition, 2007
Previous studies indicate that the benefits of dividing an information processing load across both cerebral hemispheres outweigh the costs of interhemispheric transfer as tasks become more difficult or cognitively complex. This is demonstrated as better performance when two stimuli to be compared are presented one to each visual field and…
Descriptors: Stimuli, Information Processing, Brain Hemisphere Functions, Visual Stimuli
Dillon, Daniel G.; Cooper, Julie J.; Grent-'t-Jong, Tineke; Woldorff, Marty G.; LaBar, Kevin S. – Brain and Cognition, 2006
Event-related potential (ERP) studies have shown that emotional stimuli elicit greater amplitude late positive-polarity potentials (LPPs) than neutral stimuli. This effect has been attributed to arousal, but emotional stimuli are also more semantically coherent than uncategorized neutral stimuli. ERPs were recorded during encoding of positive,…
Descriptors: Stimuli, Semantics, Information Processing, Cognitive Processes

Mannies, Nancy – Clearing House, 1986
Examines findings of scientists and educators who have studied whole brain processes as a means of learning new information and skills. Applies this research to the classroom. (SRT)
Descriptors: Brain Hemisphere Functions, Cognitive Processes, Educational Research, Information Processing

Graham, Norris A.; Kershner, John R. – Learning Disability Quarterly, 1996
Thirty students with dyslexia (mean age 13.5), 30 readers without disabilities, and 30 younger readers (mean age 8.9) were assessed to test the validity of the Reading Style Inventory (RSI). The RSI was not able to accurately profile children with dyslexia in terms of their cerebral hemisphere preferences. (CR)
Descriptors: Brain Hemisphere Functions, Cognitive Processes, Cognitive Style, Dyslexia