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Sarah H. Solomon; Anna C. Schapiro – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Concepts contain rich structures that support flexible semantic cognition. These structures can be characterized by patterns of feature covariation: Certain features tend to cluster in the same items (e.g., "feathers," "wings," "can fly"). Existing computational models demonstrate how this kind of structure can be…
Descriptors: Concept Formation, Learning Processes, Verbal Stimuli, Visual Stimuli
Wang, Yi-Wen; Ashby, F. Gregory – Learning & Memory, 2020
Despite much research, the role of the medial temporal lobes (MTL) in category learning is unclear. Two unstructured categorization experiments explored conditions that might recruit MTL category learning and memory systems--namely, whether the stimulus display includes one or two stimuli, and whether category membership depends on configural…
Descriptors: Role, Brain Hemisphere Functions, Classification, Memory
Pauen, Sabina; Peykarjou, Stefanie – Developmental Psychology, 2023
This study explores how 7-month-old infants categorize graphical images varying in basic perceptual features by using a fast periodic visual stimulation (FPVS) task. Most participants were Caucasian and their parents had a higher education, but the family's socioeconomic background was mixed. Experiment 1 (N = 23) tested brain responses to…
Descriptors: Infants, Classification, Comparative Analysis, Brain Hemisphere Functions
Worthy, Darrell A.; Markman, Arthur B.; Maddox, W. Todd – Brain and Cognition, 2013
We examined how feedback delay and stimulus offset timing affected declarative, rule-based and procedural, information-integration category-learning. We predicted that small feedback delays of several hundred milliseconds would lead to the best information-integration learning based on a highly regarded neurobiological model of learning in the…
Descriptors: Feedback (Response), Classification, Stimuli, Learning Processes
Tabor, Whitney; Cho, Pyeong W.; Dankowicz, Harry – Cognitive Science, 2013
Human participants and recurrent ("connectionist") neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular ("strong") classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the…
Descriptors: Learning Processes, Task Analysis, Systems Approach, Geometric Concepts
Holl, Anna K.; Wilkinson, Leonora; Tabrizi, Sarah J.; Painold, Annamaria; Jahanshahi, Marjan – Neuropsychologia, 2012
In general, declarative learning is associated with the activation of the medial temporal lobes (MTL), while the basal ganglia (BG) are considered the substrate for procedural learning. More recently it has been demonstrated the distinction of these systems may not be as absolute as previously thought and that not only the explicit or implicit…
Descriptors: Evidence, Feedback (Response), Diseases, Patients
Gureckis, Todd M.; James, Thomas W.; Nosofsky, Robert M. – Journal of Cognitive Neuroscience, 2011
Recent fMRI studies have found that distinct neural systems may mediate perceptual category learning under implicit and explicit learning conditions. In these previous studies, however, different stimulus-encoding processes may have been associated with implicit versus explicit learning. The present design was aimed at decoupling the influence of…
Descriptors: Incidental Learning, Learning Processes, Diagnostic Tests, Brain Hemisphere Functions
Maddox, W. Todd; Pacheco, Jennifer; Reeves, Maia; Zhu, Bo; Schnyer, David M. – Neuropsychologia, 2010
The basal ganglia and prefrontal cortex play critical roles in category learning. Both regions evidence age-related structural and functional declines. The current study examined rule-based and information-integration category learning in a group of older and younger adults. Rule-based learning is thought to involve explicit, frontally mediated…
Descriptors: Learning Processes, Older Adults, Short Term Memory, Brain Hemisphere Functions
Mayor, Julien; Plunkett, Kim – Psychological Review, 2010
We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to…
Descriptors: Generalization, Vocabulary Development, Classification, Language Acquisition
Little, Deborah M.; Thulborn, Keith R. – Brain and Cognition, 2006
This paper reviews a body of work conducted in our laboratory that applies functional magnetic resonance imaging (fMRI) to better understand the biological response and change that occurs during prototype-distortion learning. We review results from two experiments (Little, Klein, Shobat, McClure, & Thulborn, 2004; Little & Thulborn, 2005) that…
Descriptors: Brain Hemisphere Functions, Brain, Diagnostic Tests, Responses
Raijmakers, Maartje E. J.; Molenaar, Peter C. M. – Developmental Science, 2004
Neural networks are applied to a theoretical subject in developmental psychology: modeling developmental transitions. Two issues that are involved will be discussed: discontinuities and acquiring qualitatively new knowledge. We will argue that by the appearance of a bifurcation, a neural network can show discontinuities and may acquire…
Descriptors: Classification, Developmental Psychology, Neurological Organization, Brain Hemisphere Functions
Sharp, John G.; Bowker, Rob; Byrne, Jenny – Research Papers in Education, 2008
Developments within education, psychology and the neurosciences have shed a great deal of light on how we learn while, at the same time, confirming for us all that learning is a profoundly complex process and far from understood. Against this background, and in this position article, we consider the recent rise in interest in the concept of…
Descriptors: Cognitive Style, Foreign Countries, Learning Processes, Visual Perception
Roettger, Caroline J.; Roettger, Lloyd O.; Walugembe, Frederick – Journal of University Teaching and Learning Practice, 2007
This study focused on effective teaching strategies for university professors. The researchers studied the relationship between teaching effectiveness and the dynamics of student demographics. An examination of the changes in the composition of the college population over the last few decades, based on statistical data, as well as an overview of…
Descriptors: College Faculty, Teaching Methods, Teacher Effectiveness, Student Characteristics
Peer reviewedBrandt, Ron – Educational Leadership, 2000
Sylwester says education must begin relying more on biology than social and behavioral science. All brain systems move from a slow, awkward functional level to a fast, efficient level. Contributions of metacognition, self-regulation, emotions, reflective and reflexive responses, comparison, and classification to cognitive development are…
Descriptors: Biology, Brain, Child Development, Classification
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

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