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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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Tallot, Lucille; Diaz-Mataix, Lorenzo; Perry, Rosemarie E.; Wood, Kira; LeDoux, Joseph E.; Mouly, Anne-Marie; Sullivan, Regina M.; Doyère, Valérie – Learning & Memory, 2017
The updating of a memory is triggered whenever it is reactivated and a mismatch from what is expected (i.e., prediction error) is detected, a process that can be unraveled through the memory's sensitivity to protein synthesis inhibitors (i.e., reconsolidation). As noted in previous studies, in Pavlovian threat/aversive conditioning in adult rats,…
Descriptors: Long Term Memory, Error Patterns, Cognitive Processes, Brain
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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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Bhattacharya, Sriya; Mukherjee, Bandhan; Doré, Jules J. E.; Yuan, Qi; Harley, Carolyn W.; McLean, John H. – Learning & Memory, 2017
Histone deacetylase (HDAC) plays a role in synaptic plasticity and long-term memory formation. We hypothesized that trichostatin-A (TSA), an HDAC inhibitor, would promote long-term odor preference memory and maintain enhanced GluA1 receptor levels that have been hypothesized to support memory. We used an early odor preference learning model in…
Descriptors: Long Term Memory, Inhibition, Olfactory Perception, Preferences
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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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Chung, Ain; Barot, Sabiha K.; Kim, Jeansok J.; Bernstein, Ilene L. – Learning & Memory, 2011
Modern views on learning and memory accept the notion of biological constraints--that the formation of association is not uniform across all stimuli. Yet cellular evidence of the encoding of selective associations is lacking. Here, conditioned stimuli (CSs) and unconditioned stimuli (USs) commonly employed in two basic associative learning…
Descriptors: Associative Learning, Stimuli, Conditioning, Biochemistry
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Rakison, David H.; Yermolayeva, Yevdokiya – Journal of Cognition and Development, 2011
A longstanding and fundamental debate in developmental science is whether knowledge is acquired through domain-specific or domain-general mechanisms. To date, there exists no tool to determine whether experimental data support one theoretical approach or the other. In this article, we argue that the U- and N-shaped curves found in a number of…
Descriptors: Research Design, Cognitive Processes, Infants, Brain
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Rodriguez, Paul F. – Learning & Memory, 2009
Memory systems are known to be influenced by feedback and error processing, but it is not well known what aspects of outcome contingencies are related to different memory systems. Here we use the Rescorla-Wagner model to estimate prediction errors in an fMRI study of stimulus-outcome association learning. The conditional probabilities of outcomes…
Descriptors: Feedback (Response), Prediction, Memory, Probability
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Weiler, Julia A.; Bellebaum, Christian; Daum, Irene – Learning & Memory, 2008
Reward-based associative learning is mediated by a distributed network of brain regions that are dependent on the dopaminergic system. Age-related changes in key regions of this system, the striatum and the prefrontal cortex, may adversely affect the ability to use reward information for the guidance of behavior. The present study investigated the…
Descriptors: Stimuli, Transfer of Training, Associative Learning, Rewards
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Zong, Lin; Tanaka, Nobuaki K.; Ito, Kei; Davis, Ronald L.; Akalal, David-Benjamin G.; Wilson, Curtis F. – Learning & Memory, 2006
Olfactory learning assays in Drosophila have revealed that distinct brain structures known as mushroom bodies (MBs) are critical for the associative learning and memory of olfactory stimuli. However, the precise roles of the different neurons comprising the MBs are still under debate. The confusion surrounding the roles of the different neurons…
Descriptors: Memory, Associative Learning, Entomology, Sensory Experience