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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
Oros, Nicolas; Chiba, Andrea A.; Nitz, Douglas A.; Krichmar, Jeffrey L. – Learning & Memory, 2014
Learning to ignore irrelevant stimuli is essential to achieving efficient and fluid attention, and serves as the complement to increasing attention to relevant stimuli. The different cholinergic (ACh) subsystems within the basal forebrain regulate attention in distinct but complementary ways. ACh projections from the substantia innominata/nucleus…
Descriptors: Stimuli, Cognitive Processes, Attention, Brain Hemisphere Functions
Wang, Szu-Han; Tse, Dorothy; Morris, Richard G. M. – Learning & Memory, 2012
In humans and in animals, mental schemas can store information within an associative framework that enables rapid and efficient assimilation of new information. Using a hippocampal-dependent paired-associate task, we now report that the anterior cingulate cortex is part of a neocortical network of schema storage with NMDA receptor-mediated…
Descriptors: Animals, Learning Processes, Human Body, Brain
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
Kumaran, Dharshan; McClelland, James L. – Psychological Review, 2012
In this article, we present a perspective on the role of the hippocampal system in generalization, instantiated in a computational model called REMERGE (recurrency and episodic memory results in generalization). We expose a fundamental, but neglected, tension between prevailing computational theories that emphasize the function of the hippocampus…
Descriptors: Generalization, Brain Hemisphere Functions, Role, Memory
Ashby, F. Gregory; Crossley, Matthew J. – Journal of Cognitive Neuroscience, 2011
An essential component of skill acquisition is learning the environmental conditions in which that skill is relevant. This article proposes and tests a neurobiologically detailed theory of how such learning is mediated. The theory assumes that a key component of this learning is provided by the cholinergic interneurons in the striatum known as…
Descriptors: Rewards, Educational Environment, Models, Computation
Cowell, Rosemary A.; Bussey, Timothy J.; Saksida, Lisa M. – Journal of Cognitive Neuroscience, 2010
We examined the organization and function of the ventral object processing pathway. The prevailing theoretical approach in this field holds that the ventral object processing stream has a modular organization, in which visual perception is carried out in posterior regions and visual memory is carried out, independently, in the anterior temporal…
Descriptors: Brain Hemisphere Functions, Cognitive Processes, Neurological Organization, Visual Perception
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
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
Warburton, D. M.; Greeno, James G. – Psychol Rev, 1970
Descriptors: Learning Processes, Models, Neurological Organization, Physiology

Stanley, J. C.; Kilmer, W. L. – International Journal of Man-Machine Studies, 1975
This paper presents a temporal sequence memory based on the circuit configuration of the dentate gyrus of the mammalian hippocampus. (Author)
Descriptors: Learning Processes, Memory, Models, Neurological Organization

Landauer, Thomas K. – Cognitive Psychology, 1975
A minimal heuristic model of human memory storage and retrievel is outlined in which there is no self-organizing ability, and in which retrieval processes are undirected in that they do not vary with the nature of information sought. The model is applied to a variety of phenomena in human learning, forgetting and retrieval. (RC)
Descriptors: Learning Processes, Memory, Models, Neurological Organization
Tipps, Steve; And Others – 1982
This paper describes three models of brain function, each of which contributes to an integrated understanding of human learning. The first model, the up-and-down model, emphasizes the interconnection between brain structures and functions, and argues that since physiological, emotional, and cognitive responses are inseparable, the learning context…
Descriptors: Brain, Individual Differences, Learning Processes, Models

Hutchin, Ted – Educational and Training Technology International, 1992
Uses an analogy based on the neural networks of the mind to describe organizational communications channels and considers how the various structures within organizations can affect the learning process. The impact of neural organizations on the delivery of education and training is discussed, and examples from the Open University are given. (two…
Descriptors: Learning Processes, Models, Networks, Neurological Organization
Zull, James E. – New Directions for Adult and Continuing Education, 2006
This chapter presents a brain-based model of adult learning and connects the model to practice.
Descriptors: Adult Learning, Brain, Adult Education, Models
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