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Ronald Mtenga; Mathias Bode; Radwa Khalil – Journal of Creative Behavior, 2025
Creative thinking stems from the cognitive process that fosters the creation of new ideas and problem-solving solutions. Artificial intelligence systems and neural network models can reduce the intricacy of understanding creative cognition. For instance, the generation of ideas could be symbolized as patterns of binary code in which clusters of…
Descriptors: Inhibition, Creative Thinking, Cognitive Processes, Concept Formation
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Yokose, Jun; Marks, William D.; Yamamoto, Naoki; Ogawa, Sachie K.; Kitamura, Takashi – Learning & Memory, 2021
Temporal association learning (TAL) allows for the linkage of distinct, nonsynchronous events across a period of time. This function is driven by neural interactions in the entorhinal cortical-hippocampal network, especially the neural input from the pyramidal cells in layer III of medial entorhinal cortex (MECIII) to hippocampal CA1 is crucial…
Descriptors: Associative Learning, Brain Hemisphere Functions, Neurological Organization, Stimuli
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Engle, Jae; Baker-Harvey, Hazel; Nguyen, Hieu-Kevin; Carney, Hunter; Stavropoulos, Katherine; Carver, Leslie J. – Child Development, 2021
The ability to learn from expectations is foundational to social and nonsocial learning in children. However, we know little about the brain basis of reward expectation in development. Here, 3- to 4-year-olds (N = 26) were shown a passive associative learning paradigm with dynamic stimuli. Anticipation for reward-related stimuli was measured via…
Descriptors: Brain, Preschool Children, Stimuli, Rewards
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McGann, John P. – Learning & Memory, 2015
Historically, the body's sensory systems have been presumed to provide the brain with raw information about the external environment, which the brain must interpret to select a behavioral response. Consequently, studies of the neurobiology of learning and memory have focused on circuitry that interfaces between sensory inputs and behavioral…
Descriptors: Associative Learning, Sensory Experience, Brain, Perception
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Kitamura, Takashi; Macdonald, Christopher J.; Tonegawa, Susumu – Learning & Memory, 2015
The entorhinal cortex (EC)-hippocampal (HPC) network plays an essential role for episodic memory, which preserves spatial and temporal information about the occurrence of past events. Although there has been significant progress toward understanding the neural circuits underlying the spatial dimension of episodic memory, the relevant circuits…
Descriptors: Brain Hemisphere Functions, Memory, Neurological Organization, Time
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Tong, Michelle T.; Kim, Tae-Young P.; Cleland, Thomas A. – Learning & Memory, 2018
Long-term fear memory formation in the hippocampus and neocortex depends upon brain-derived neurotrophic factor (BDNF) signaling after acquisition. Incremental, appetitive odor discrimination learning is thought to depend substantially on the differentiation of adult-born neurons within the olfactory bulb (OB)--a process that is closely associated…
Descriptors: Memory, Olfactory Perception, Role, Animals
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Brown, Kevin L.; Freeman, John H. – Learning & Memory, 2014
Eyeblink conditioning is a well-established model for studying the developmental neurobiology of associative learning and memory. However, age differences in extinction and subsequent reacquisition have yet to be studied using this model. The present study examined extinction and reacquisition of eyeblink conditioning in developing rats. In…
Descriptors: Animals, Conditioning, Neurological Organization, Associative Learning
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Cole, Sindy; Powell, Daniel J.; Petrovich, Gorica D. – Learning & Memory, 2013
The amygdala is important for reward-associated learning, but how distinct cell groups within this heterogeneous structure are recruited during appetitive learning is unclear. Here we used Fos induction to map the functional amygdalar circuitry recruited during early and late training sessions of Pavlovian appetitive conditioning. We found that a…
Descriptors: Associative Learning, Brain, Neurological Organization, Conditioning
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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
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Cook, Richard; Dickinson, Anthony; Heyes, Cecilia – Journal of Experimental Psychology: General, 2012
Automatic imitation--the unintended copying of observed actions--is thought to be a behavioral product of the mirror neuron system (MNS). Evidence that the MNS develops through associative learning comes from previous research showing that automatic imitation is attenuated by countermirror training, in which the observation of one action is paired…
Descriptors: Imitation, Ambiguity (Context), Context Effect, Novelty (Stimulus Dimension)
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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
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Caza, Gregory A.; Knott, Alistair – Language Learning and Development, 2012
The social-pragmatic theory of language acquisition proposes that children only become efficient at learning the meanings of words once they acquire the ability to understand the intentions of other agents, in particular the intention to communicate (Akhtar & Tomasello, 2000). In this paper we present a neural network model of word learning which…
Descriptors: Language Acquisition, Infants, Cues, Pragmatics
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Guan, Zhuo; Buhl, Lauren K.; Quinn, William G.; Littleton, J. Troy – Learning & Memory, 2011
Genetic studies in "Drosophila" have revealed two separable long-term memory pathways defined as anesthesia-resistant memory (ARM) and long-lasting long-term memory (LLTM). ARM is disrupted in "radish" ("rsh") mutants, whereas LLTM requires CREB-dependent protein synthesis. Although the downstream effectors of ARM and LLTM are distinct, pathways…
Descriptors: Associative Learning, Short Term Memory, Long Term Memory, Cognitive Processes
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Kinnunen, Kirsi Maria; Greenwood, Richard; Powell, Jane Hilary; Leech, Robert; Hawkins, Peter Charlie; Bonnelle, Valerie; Patel, Maneesh Chandrakant; Counsell, Serena Jane; Sharp, David James – Brain, 2011
White matter disruption is an important determinant of cognitive impairment after brain injury, but conventional neuroimaging underestimates its extent. In contrast, diffusion tensor imaging provides a validated and sensitive way of identifying the impact of axonal injury. The relationship between cognitive impairment after traumatic brain injury…
Descriptors: Control Groups, Neurological Impairments, Injuries, Associative Learning
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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
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