TRENDS IN COGNITIVE SCIENCES认知科学趋势
TRENDS IN COGNITIVE SCIENCES(英文缩写 TRENDS COGN SCI),ISSN 1364-6613,eISSN 1879-307X,中文译名:认知科学趋势 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 24.482 | Q1 |
| 2022 | 19.900 | Q1 |
| 2023 | 16.700 | Q1 |
| 2024 | 17.200 | Q1 |
| 2025 | 20.300 | Q1 |
TRENDS IN COGNITIVE SCIENCES 最新收录文献
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1. Time after time: neural codes of speech comprehension.
PMID:日期:2026-10-05The acoustic signal of speech is fleeting and unfolds linearly; yet listeners must derive temporally extended and hierarchically organized linguistic structures to comprehend it. This article reviews evidence that the human brain transforms the transient auditory signal into neural representations that are persistent, parallel, and time-stamped. First, neural persistence allows information to remain available after it has disappeared from the acoustic input. Second, parallel encoding of recent inputs across multiple levels of language structure enables composition and interactions across the speech hierarchy. Third, dynamic neural representations encode both content and elapsed time, providing a flexible mechanism for preserving sequence order. Together, these representational properties reveal how the human brain transforms a continuously disappearing signal into temporally extended linguistic structures.
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2. Childhood maltreatment and the developing brain: toward individualized models of psychiatric risk.
PMID:日期:2026-10-01Childhood maltreatment shapes brain development in ways that vary by adversity type, developmental timing, and genetic vulnerability to psychiatric illness-a heterogeneity that conventional approaches capture poorly. We contend that normative modeling, multivariate methods, and polygenic risk scores offer complementary frameworks for parsing this variability and advancing mechanistic insights and clinical stratification.
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3. From maps to new thoughts: can place-cell indexing generate novel cortical states?
PMID:日期:2026-09-24Constructing novel states from experience underpins imagination and abstraction. The hippocampal formation is thought to contribute by capturing the relational structure of experiences, but it remains unclear how its abstract relational codes are eventually translated into cortical content representations. I highlight that hippocampal-cortical indexing may scaffold the generation of new states.
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4. The next generation of fear generalization.
4. 下一代恐惧泛化PMID:日期:2026-09-21Generalizing from past experience is a fundamental feature of cognition. Although generalization has been of long-standing interest to diverse domains in psychological science, the past decade has seen a rapid acceleration of fear generalization research in particular. The field of human fear generalization is at a pivotal juncture where it is now possible to synthesize extensive behavioral work, competing theoretical models, animal and human neuroscience, and clinical and individual-differences research to address enduring gaps. In this review, we provide an updated account of where the field of human fear generalization currently resides and offer concrete avenues for new research emphasizing tighter integration between animal and human neuroscience, prioritizing cross-disciplinary perspectives, and updating conceptual frameworks to align with rapidly advancing methods.
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5. Language structure as training for executive functions.
PMID:日期:2026-09-14Language plays a central role in the development of executive functions (EFs). This forum article discusses how language, as a structured environmental stimulus, can shape EF systems and impact EF outcomes. This has implications for developmental and clinical conditions in which language and EFs are jointly affected, and for congenitally deaf children and adults, who often experience reduced access to natural language during development.
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6. The nativist-empiricist debate is broken.
PMID:日期:2026-09-11The nativist-empiricist debate has long organized cognitive science, framing cognitive mechanisms as either innate or learned. Recent advances in controlled rearing and scalable domain-general neural networks now allow this debate to be tested with unprecedented rigor, by raising newborn animals and deep neural networks under tightly matched developmental conditions. Strikingly, when pushed to this empirical limit, the debate does not resolve: the same developmental phenomena support both radical empiricism and radical nativism. We argue that this stalemate reflects a conceptual error. The debate conflates explanatory levels and ontological orientations, with nativists emphasizing stable symbolic structures and empiricists emphasizing the subsymbolic processes that produce those structures. We propose dissolving the dichotomy within a multilevel framework of cognitive development.
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7. Valuation as a bridge between aesthetics and creativity.
PMID:日期:2026-09-10Evidence shows that aesthetic evaluations are underpinned by mechanisms in the reward system that compute value for objects of interest. In turn, recent behavioral, computational, and neuroimaging evidence suggests that creativity involves a similar valuation process, as people generate and evaluate the originality and adequacy of their ideas-two standard criteria of creativity. These findings suggest that creativity and aesthetic evaluation may be supported by a domain-general mechanism for computing subjective value. We offer a proposal in which creators' value computations are conveyed by the structure and content of their works and recovered during aesthetic evaluation through shared reward-system mechanisms and associated processes. On this view, creating and appreciating are two related expressions of a shared value-based process.
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8. Toward an interdisciplinary mind science of advanced meditation.
PMID:日期:2026-09-09Meditation research is increasingly moving beyond mindfulness and other early-stage practices toward advanced meditation, encompassing states, stages, and endpoints that progressively unfold with increasing expertise through meditative development. This emerging subfield consists of interdisciplinary research that brings advanced meditation within reach of systematic scientific investigation. Here we articulate this research subfield, including its constitutive conceptual and methodological components and interrelated translational domains: philosophical and theoretical foundations, computational phenomenology, cognitive neuroscience, epidemiology and public health, clinical and well-being outcomes, and relations with psychedelic experiences. This subfield represents an important development for meditation research and the mind sciences more broadly, with implications for health and well-being and for empirical understanding of the human mind.
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9. Science from the bottom up.
9. 自下而上的科学PMID:日期:2026-09-03How a scientific community is organized can affect whether disagreement drives progress or leads to isolation. Students and postdocs are uniquely placed to build communities that bridge theoretical and methodological divides. Drawing on a student-led society in consciousness science, we show how empowering early-career researchers can turn fragmentation into collaboration.
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10. Neurocomputational mechanisms underlying cognitive flexibility: a translational perspective.
10. 认知灵活性的神经计算机制：转化视角PMID:日期:2026-09-01Cognitive flexibility allows us to adjust behavior when environmental rules change and to recombine prior knowledge in novel situations. However, the computations underlying rule discovery remain unclear: how do rule representations emerge as we interact with the environment? While it is often considered a hallmark of human behavior, converging evidence highlights comparable forms of abstract learning in rodents. Across species, prefrontal activity patterns encode structured representations that support generalization and monitor for rule switches. In this review, we synthesize recent behavioral, neural, and computational work highlighting models that formalize rule inference and creation. We consider how a translational framework linking circuit-level mechanisms to computational principles can help us understand disruptions in cognitive flexibility in disorders such as schizophrenia.