Results 1 to 10 of about 238,774 (162)
Evolutionary transitions in learning and cognition. [PDF]
Philos Trans R Soc Lond B Biol Sci, 2021 Abstract We define a cognitive system as a system that can learn, and adopt an evolutionary-transition-oriented framework for analysing different types of neural cognition. This enables us to classify types of cognition and point to the continuities and discontinuities among them.
Ginsburg S, Jablonka E.
europepmc +3 more sources
Glial biology in learning and cognition. [PDF]
Neuroscientist, 2014 Neurons are exquisitely specialized for rapid electrical transmission of signals, but some properties of glial cells, which do not communicate with electrical impulses, are well suited for participating in complex cognitive functions requiring broad spatial integration and long-term temporal regulation.
Fields RD +9 more
europepmc +8 more sources
Regulatory Focus, Motivation, and Their Relationship With Creativity Among Adolescents
Frontiers in Psychology, 2021 Due to the close relationship among intrinsic/extrinsic motivation, regulatory focus, and creativity revealed by previous literature, intrinsic/extrinsic motivation may play a mediating role between regulatory focus and creativity. Therefore, the present
Ling Wang +5 more
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Neural Mechanisms of Reward-by-Cueing Interactions: ERP Evidence
Frontiers in Human Neuroscience, 2021 Inhibition of return (IOR) refers to the phenomenon that a person is slower to respond to targets at a previously cued location. The present study aimed to explore whether target-reward association is subject to IOR, using event-related potentials (ERPs)
Xian Li +5 more
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1.2 Cognition and learning [PDF]
European Journal of Dental Education, 2002 This theme is concerned with the relevance and efficacy of educational methods adopted in dental schools while recognizing the influence of geopolitical issues in different countries and regions. Particular emphasis will be given to examples of best practices and innovations.
Falk-Nilsson, E. +9 more
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Meta-learned models of cognition
Behavioral and Brain Sciences, 2023 Abstract Psychologists and neuroscientists extensively rely on computational models for studying and analyzing the human mind. Traditionally, such computational models have been hand-designed by expert researchers. Two prominent examples are cognitive architectures and Bayesian models of cognition. Although the former requires the specification of a
Marcel Binz +5 more
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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Engineering, 2020 Recent progress in deep learning is essentially based on a “big data for small tasks” paradigm, under which massive amounts of data are used to train a classifier for a single narrow task.
Yixin Zhu +11 more
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Expectations of immediate and delayed reward differentially affect cognitive task performance
NeuroImage, 2022 The current study used a modified Monetary Incentive Delay task to examine the neural mechanisms underlying anticipating and receiving an immediate or delayed reward and examined the influence of pursuing these rewards on cognitive task performance.
Yachao Rong +6 more
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Frontiers in Psychology, 2021 Objective: The coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to pregnant women's mental health. This study aimed to characterize the patterns of perceived stress in pregnant Chinese women during the COVID-19 pandemic, to examine ...
Zheng Luo +6 more
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Electrophysiological Measures of Visual Working Memory in Social Anxiety
Frontiers in Behavioral Neuroscience, 2020 Socially anxious individuals are very sensitive to threatening information in the environment, so visual working memory (VWM) is of great significance for them. However, the influence of social anxiety on VWM is unclear. In the present study, we aimed to
Jing Yuan +5 more
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