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  1. (1 other version)A shared novelty-seeking basis for creativity and curiosity.Tal Ivancovsky, Shira Baror & Moshe Bar - 2024 - Behavioral and Brain Sciences 47:e89.
    Curiosity and creativity are central pillars of human growth and invention. Although they have been studied extensively in isolation, the relationship between them has not yet been established. We propose that both curiosity and creativity emanate from the same mechanism of novelty seeking. We first present a synthesis showing that curiosity and creativity are affected similarly by a number of key cognitive faculties such as memory, cognitive control, attention, and reward. We then review empirical evidence from neuroscience research, indicating that (...)
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  • Representing melodic relationships using network science.Hannah M. Merseal, Roger E. Beaty, Yoed N. Kenett, James Lloyd-Cox, Örjan de Manzano & Martin Norgaard - 2023 - Cognition 233 (C):105362.
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  • Using Network Science to Understand the Aging Lexicon: Linking Individuals' Experience, Semantic Networks, and Cognitive Performance.Dirk U. Wulff, Simon De Deyne, Samuel Aeschbach & Rui Mata - 2022 - Topics in Cognitive Science 14 (1):93-110.
    People undergo many idiosyncratic experiences throughout their lives that may contribute to individual differences in the size and structure of their knowledge representations. Ultimately, these can have important implications for individuals' cognitive performance. We review evidence that suggests a relationship between individual experiences, the size and structure of semantic representations, as well as individual and age differences in cognitive performance. We conclude that the extent to which experience-dependent changes in semantic representations contribute to individual differences in cognitive aging remains unclear. (...)
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  • Editors' Introduction to Networks of the Mind: How Can Network Science Elucidate Our Understanding of Cognition?Thomas T. Hills & Yoed N. Kenett - 2022 - Topics in Cognitive Science 14 (1):189-208.
    Topics in Cognitive Science, Volume 14, Issue 1, Page 189-208, January 2022.
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  • Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review.Massimo Stella - 2022 - Topics in Cognitive Science 14 (1):143-162.
    Topics in Cognitive Science, Volume 14, Issue 1, Page 143-162, January 2022.
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  • Curriculum Innovation in Times of the COVID-19 Pandemic: The Thinking-Based Instruction Theory and Its Application.Yangping Li, Xinru Zhang, David Yun Dai & Weiping Hu - 2021 - Frontiers in Psychology 12.
    At the beginning of 2020, to stop the spread of the coronavirus disease to the campus, the Ministry of Education of China launched a policy “Suspension of classes without suspending schooling” for the spring semester of 2020. However, the drawbacks of online teaching forced us to modify teaching strategies during this special period, especially developing courses that are suitable for student learning at home and improving their key competencies. In order to solve these problems, this study introduces some theoretical exploration (...)
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  • Use or Consequences: Probing the Cognitive Difference Between Two Measures of Divergent Thinking.Richard W. Hass & Roger E. Beaty - 2018 - Frontiers in Psychology 9.
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  • (1 other version)A shared novelty-seeking basis for creativity and curiosity: Response to the commentators.Tal Ivancovsky, Shira Baror & Moshe Bar - 2024 - Behavioral and Brain Sciences 47:e119.
    In our target article, we proposed that curiosity and creativity are both manifestations of the same novelty-seeking process. We received 29 commentaries from diverse disciplines that add insights to our initial proposal. These commentaries ultimately expanded and supplemented our model. Here we draw attention to five central practical and theoretical issues that were raised by the commentators: (1) The complex construct of novelty and associated concepts; (2) the underlying subsystems and possible mechanisms; (3) the different pathways and subtypes of curiosity (...)
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  • Divergent Thinking Abilities in Frontotemporal Dementia: A Mini-Review.Giulia Fusi, Maura Crepaldi, Laura Colautti, Massimiliano Palmiero, Alessandro Antonietti, Luca Rozzini & Maria Luisa Rusconi - 2021 - Frontiers in Psychology 12.
    A large number of studies, including single case and case series studies, have shown that patients with different types of frontotemporal dementia are characterized by the emergence of artistic abilities. This led to the hypothesis of enhanced creative thinking skills as a function of these pathological conditions. However, in the last years, it has been argued that these brain pathologies lead only to an augmented “drive to produce” rather than to the emergence of creativity. Moreover, only a few studies analyzed (...)
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  • Quantifying flexibility in thought: The resiliency of semantic networks differs across the lifespan.Abigail L. Cosgrove, Yoed N. Kenett, Roger E. Beaty & Michele T. Diaz - 2021 - Cognition 211 (C):104631.
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  • The relation between semantic memory structure, associative abilities, and verbal and figural creativity.Li He, Yoed N. Kenett, Kaixiang Zhuang, Cheng Liu, Rongcan Zeng, Tingrui Yan, Tengbin Huo & Jiang Qiu - 2020 - Thinking and Reasoning 27 (2):268-293.
    Research has independently highlighted the roles of semantic memory and associative abilities in creative thinking. However, it remains unclear how these two capacities relate to each other, nor ho...
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  • Methodological Considerations for Incorporating Clinical Data Into a Network Model of Retrieval Failures.Nichol Castro - 2022 - Topics in Cognitive Science 14 (1):111-126.
    Difficulty retrieving information (e.g., words) from memory is prevalent in neurogenic communication disorders (e.g., aphasia and dementia). Theoretical modeling of retrieval failures often relies on clinical data, despite methodological limitations (e.g., locus of retrieval failure, heterogeneity of individuals, and progression of disorder/disease). Techniques from network science are naturally capable of handling these limitations. This paper reviews recent work using a multiplex lexical network to account for word retrieval failures and highlights how network science can address the limitations of clinical data. (...)
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  • The Relationships Between Trait Creativity and Resting-State EEG Microstates Were Modulated by Self-Esteem.Xin Wu, Jiajia Guo, Yufeng Wang, Feng Zou, Peifang Guo, Jieyu Lv & Meng Zhang - 2020 - Frontiers in Human Neuroscience 14:576114.
    Numerous studies had found that creativity is not only associated with low effort and flexible processes, but also associated with high effort and persistent processes especially when defensive behavior being induced negative emotions. The important role of self-esteem is to buffer the negative emotions and low self-esteem are prone to instigate various forms of defensive behaviors. Thus, we thought that the relationships between trait creativity and executive control brain networks might be modulated by self-esteem. The resting-state electroencephalogram (RS-EEG) microstates can (...)
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  • An Autocatalytic Network Model of Conceptual Change.Liane Gabora, Nicole M. Beckage & Mike Steel - 2022 - Topics in Cognitive Science 14 (1):163-188.
    Topics in Cognitive Science, Volume 14, Issue 1, Page 163-188, January 2022.
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  • Metaphor Comprehension in Low and High Creative Individuals.Yoed N. Kenett, Rinat Gold & Miriam Faust - 2018 - Frontiers in Psychology 9.
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  • Semantic memory and creativity: the costs and benefits of semantic memory structure in generating original ideas.Roger E. Beaty, Yoed N. Kenett, Richard W. Hass & Daniel L. Schacter - 2023 - Thinking and Reasoning 29 (2):305-339.
    Despite its theoretical importance, little is known about how semantic memory structure facilitates and constrains creative idea generation. We examine whether the semantic richness of a concept has both benefits and costs to creative idea generation. Specifically, we tested whether cue set size—an index of semantic richness reflecting the average number of elements associated with a given concept—impacts the quantity (fluency) and quality (originality) of responses generated during the Alternate Uses Task (AUT). Across four studies, we show that low-association, sparse, (...)
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