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Carrigan, Ann J.; Stoodley, Paul; Fernandez, Fernando; Sunday, Mackenzie A.; Wiggins, Mark W. – Applied Cognitive Psychology, 2020
Echocardiographers are highly specialised, skilled practitioners who play a critical role in medical imaging diagnostics. Yet, little is known about the cognitive and perceptual attributes of experts within this domain. This study was designed to examine the role of individual differences in expertise. Specifically, the contribution of a domain…
Descriptors: Individual Differences, Diagnostic Tests, Radiology, Visual Perception
Pasnak, Robert; Gagliano, Katrina; Righi, Matthew; Kidd, Julie K. – Grantee Submission, 2019
The effects of instructing kindergarten students (five-year-old in their first year of public school) on patterning were tested. Up to nine students in each class were randomly assigned to three groups in each of six classes, i.e., as many as three from a class in each group. One group received instruction on complex patterns similar to those…
Descriptors: Scores, Teaching Methods, Literacy Education, Mathematics Instruction
Kovarski, K.; Thillay, A.; Houy-Durand, E.; Roux, S.; Bidet-Caulet, A.; Bonnet-Brilhault, F.; Batty, M. – Journal of Autism and Developmental Disorders, 2016
Autism spectrum disorder (ASD) is characterized by atypical visual perception both in the social and nonsocial domain. In order to measure a reliable visual response, visual evoked potentials were recorded during a passive pattern-reversal stimulation in adolescents and adults with and without ASD. While the present results show the same…
Descriptors: Adolescents, Visual Perception, Autism, Pervasive Developmental Disorders
Knudsen, Lars; Nawrotzki, Ralph; Schmiedl, Andreas; Mühlfeld, Christian; Kruschinski, Carsten; Ochs, Matthias – Anatomical Sciences Education, 2018
Medical students have difficulties in interpreting two-dimensional (2D) topographic anatomy on sectional images. Hands-on and no hands-on training in ultrasound imaging facilitate learning topographic anatomy. Hands-on training is linked with active search for patterns of anatomical structures and might train pattern recognition for image…
Descriptors: Diagnostic Tests, Medical Students, Anatomy, Medical Education
Mielens, Jason D.; Hoffman, Matthew R.; Ciucci, Michelle R.; McCulloch, Timothy M.; Jiang, Jack J. – Journal of Speech, Language, and Hearing Research, 2012
Purpose: The authors present 3 methods of performing pattern recognition on spatiotemporal plots produced by pharyngeal high-resolution manometry (HRM). Method: Classification models, including the artificial neural networks (ANNs) multilayer perceptron (MLP) and learning vector quantization (LVQ), as well as support vector machines (SVM), were…
Descriptors: Classification, Pattern Recognition, Diagnostic Tests, Physiology
Takahashi, Junichi; Yasunaga, Daichi; Gyoba, Jiro – Journal of Autism and Developmental Disorders, 2014
We examined the effects of complexity on the efficiency of pattern encoding in the general population differing on autism-spectrum quotient (AQ) scores. We compared brain activity (electroencephalography) during a same-different task for High and Low AQ groups. The task was composed of identical comparison and categorical comparison (CC)…
Descriptors: Autism, Pervasive Developmental Disorders, Scores, Brain Hemisphere Functions
Motz, Benjamin A.; Erickson, Molly A.; Hetrick, William P. – Brain and Cognition, 2013
Humans perceive a wide range of temporal patterns, including those rhythms that occur in music, speech, and movement; however, there are constraints on the rhythmic patterns that we can represent. Past research has shown that sequences in which sounds occur regularly at non-metrical locations in a repeating beat period (non-integer ratio…
Descriptors: Cognitive Processes, Brain Hemisphere Functions, Acoustics, Auditory Stimuli
Ninness, Chris; Lauter, Judy L.; Coffee, Michael; Clary, Logan; Kelly, Elizabeth; Rumph, Marilyn; Rumph, Robin; Kyle, Betty; Ninness, Sharon K. – Psychological Record, 2012
Using 3 diversified datasets, we explored the pattern-recognition ability of the Self-Organizing Map (SOM) artificial neural network as applied to diversified nonlinear data distributions in the areas of behavioral and physiological research. Experiment 1 employed a dataset obtained from the UCI Machine Learning Repository. Data for this study…
Descriptors: Physiology, Anatomy, Cancer, Pattern Recognition
Dogan, Enis; Tatsuoka, Kikumi – Educational Studies in Mathematics, 2008
This study illustrates how a diagnostic testing model can be used to make detailed comparisons between student populations participating in international assessments. The performance of Turkish students on the TIMSS-R mathematics test was reanalyzed with a diagnostic testing model called the Rule Space Model. First, mathematical and cognitive…
Descriptors: Mathematics Tests, Diagnostic Tests, Pattern Recognition, Probability
Foltynie, Thomas; Brayne, Carol E. G.; Robbins, Trevor W.; Barker, Roger A. – Brain, 2004
We have used multiple sources to identify a population-representative cohort of newly diagnosed patients with parkinsonism and Parkinson's disease in the UK over a 2-year period. All patients have been invited to participate in a detailed clinical assessment either at home or in an outpatient clinic. These assessments have been used to refine…
Descriptors: Foreign Countries, Neurological Impairments, Patients, Cognitive Ability