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Butler, Christopher W.; Wilson, Yvette M.; Gunnersen, Jenny M.; Murphy, Mark – Learning & Memory, 2015
Memory formation is thought to occur via enhanced synaptic connectivity between populations of neurons in the brain. However, it has been difficult to localize and identify the neurons that are directly involved in the formation of any specific memory. We have previously used "fos-tau-lacZ" ("FTL") transgenic mice to identify…
Descriptors: Fear, Memory, Animals, Animal Behavior
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Loria, Tristan; de Grosbois, John; Tremblay, Luc – Research Quarterly for Exercise and Sport, 2016
Purpose: At rest, the central nervous system combines and integrates multisensory cues to yield an optimal percept. When engaging in action, the relative weighing of sensory modalities has been shown to be altered. Because the timing of peak velocity is the critical moment in some goal-directed movements (e.g., overarm throwing), the current study…
Descriptors: Neurological Organization, Cues, Auditory Stimuli, Visual Stimuli
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Villers, Agnès; Giese, Karl Peter; Ris, Lauerence – Learning & Memory, 2014
a-calcium/calmodulin-dependent protein kinase (aCaMKII) T286-autophosphorylation provides a short-term molecular memory that was thought to be required for LTP and for learning and memory. However, it has been shown that learning can occur in aCaMKII-T286A mutant mice after a massed training protocol. This raises the question of whether there…
Descriptors: Memory, Animals, Brain Hemisphere Functions, Learning
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Park, Joonkoo; Li, Rosa; Brannon, Elizabeth M. – Developmental Science, 2014
In early childhood, humans learn culturally specific symbols for number that allow them entry into the world of complex numerical thinking. Yet little is known about how the brain supports the development of the uniquely human symbolic number system. Here, we use functional magnetic resonance imaging along with an effective connectivity analysis…
Descriptors: Brain, Numbers, Cognitive Processes, Mathematics Achievement
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Schacher, Samuel; Hu, Jiang-Yuan – Learning & Memory, 2014
An important cellular mechanism contributing to the strength and duration of memories is activity-dependent alterations in the strength of synaptic connections within the neural circuit encoding the memory. Reversal of the memory is typically correlated with a reversal of the cellular changes to levels expressed prior to the stimulation. Thus, for…
Descriptors: Brain Hemisphere Functions, Stimuli, Molecular Structure, Neurological Organization
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Gavornik, Jeffrey P.; Bear, Mark F. – Learning & Memory, 2014
It has been more than 50 years since the first description of ocular dominance plasticity--the profound modification of primary visual cortex (V1) following temporary monocular deprivation. This discovery immediately attracted the intense interest of neurobiologists focused on the general question of how experience and deprivation modify the brain…
Descriptors: Brain Hemisphere Functions, Visual Impairments, Vision, Animals
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Tayler, Kaycie K.; Wiltgen, Brian J. – Learning & Memory, 2013
According to the standard model of systems consolidation (SMC), neocortical circuits are reactivated during the retrieval of declarative memories. This process initially requires the hippocampus. However, with the passage of time, neocortical circuits become strengthened and can eventually retrieve memory without input from the hippocampus.…
Descriptors: Brain, Memory, Neurosciences, Neurological Organization
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Xie, Zhiyong; Huang, Cheng; Ci, Bo; Lianzhang, Wang; Zhong, Yi – Learning & Memory, 2013
Extensive studies of "Drosophila" mushroom body in formation and retrieval of olfactory memories allow us to delineate the functional logic for memory storage and retrieval. Currently, there is a questionable disassociation of circuits for memory storage and retrieval during "Drosophila" olfactory memory processing. Formation…
Descriptors: Entomology, Memory, Olfactory Perception, Brain
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Hylin, Michael J.; Orsi, Sara A.; Moore, Anthony N.; Dash, Pramod K. – Learning & Memory, 2013
The perineuronal net (PNN) surrounds neurons in the central nervous system and is thought to regulate developmental plasticity. A few studies have shown an involvement of the PNN in hippocampal plasticity and memory storage in adult animals. In addition to the hippocampus, plasticity in the medial prefrontal cortex (mPFC) has been demonstrated to…
Descriptors: Brain, Fear, Conditioning, Neurological Organization
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Zhou, Hou-Cheng; Sun, Yan-Yan; Cai, Wei; He, Xiao-Ting; Yi, Feng; Li, Bao-Ming; Zhang, Xue-Han – Learning & Memory, 2013
The prefrontal cortex (PFC) plays a critical role in cognitive functions, including working memory, attention regulation, behavioral inhibition, as well as memory storage. The functions of PFC are very sensitive to norepinephrine (NE), and even low levels of endogenously released NE exert a dramatic influence on the functioning of the PFC.…
Descriptors: Animals, Brain, Memory, Neurological Organization
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Calhoun, Vince D.; Allen, Elena – Psychometrika, 2013
There is increasing use of functional imaging data to understand the macro-connectome of the human brain. Of particular interest is the structure and function of intrinsic networks (regions exhibiting temporally coherent activity both at rest and while a task is being performed), which account for a significant portion of the variance in…
Descriptors: Brain, Diagnostic Tests, Neurological Organization, Statistical Analysis
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Baker, Kathryn D.; Richardson, Rick – Learning & Memory, 2015
Fear inhibition is markedly impaired in adolescent rodents and humans. The present experiments investigated whether this impairment is critically determined by the animal's age at the time of fear learning or their age at fear extinction. Male rats (n = 170) were tested for extinction retention after conditioning and extinction at different ages.…
Descriptors: Fear, Inhibition, Adolescents, Animals
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Luo, Minmin; Zhou, Jingfeng; Liu, Zhixiang – Learning & Memory, 2015
The dorsal raphe nucleus (DRN) represents one of the most sensitive reward sites in the brain. However, the exact relationship between DRN neuronal activity and reward signaling has been elusive. In this review, we will summarize anatomical, pharmacological, optogenetics, and electrophysiological studies on the functions and circuit mechanisms of…
Descriptors: Brain Hemisphere Functions, Neurological Organization, Rewards, Anatomy
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Hadley, Hillary; Pickron, Charisse B.; Scott, Lisa S. – Developmental Science, 2015
The capacity to tell the difference between two faces within an infrequently experienced face group (e.g. other species, other race) declines from 6 to 9 months of age unless infants learn to match these faces with individual-level names. Similarly, the use of individual-level labels can also facilitate differentiation of a group of non-face…
Descriptors: Infants, Recognition (Psychology), Naming, Human Body
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Bachevalier, Jocelyne – International Journal of Behavioral Development, 2015
Studies investigating the development of memory processes and their neural substrates have flourished over the past two decades. The review by Jabès and Nelson (2015) adds an important piece to our understanding of the maturation of different elements and circuits within the hippocampal system and their association with the progressive development…
Descriptors: Memory, Cognitive Development, Neurological Organization, Brain Hemisphere Functions
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