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Build the neural dynamic model: Comment on “Dark brain energy: Toward an integrative model of spontaneous slow oscillations” by Zhu-Qing Gong and Xi-Nian Zuo 建立神经动力学模型——评龚竹青、左希念《暗脑能量:走向自发慢振荡的整合模型
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-15 DOI: 10.1016/j.plrev.2025.07.018
Junhao Liang , Changsong Zhou
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引用次数: 0
Paths and propagators: Comment on “Thoughts and thinkers: On the complementarity between objects and processes” by Fields and Levin 路径与传播者:评析菲尔兹和列文的《思想与思想家:论对象与过程的互补性》
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-12 DOI: 10.1016/j.plrev.2025.07.016
Thomas Parr
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引用次数: 0
Towards a better understanding of structural-functional relationships in the forest soil microbiota. Reply to comments on “Topological change of soil microbiota networks for forest resilience under global warming” 为了更好地理解森林土壤微生物群的结构-功能关系。回复“全球变暖下森林恢复力的土壤微生物群网络拓扑变化”评论
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-11 DOI: 10.1016/j.plrev.2025.07.017
Huiying Gong , Yu Wang , Hongxing Wang , Xiaomei Sun , Shougong Zhang , Shing-Tung Yau , Rongling Wu
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引用次数: 0
Bioelectrics for healthy and food-secure lives: Reply to comments on “Advances in pulsed electric stimuli as a physical method for treating liquid foods” 用于健康和食品安全生活的生物电:对“脉冲电刺激作为处理液体食品的物理方法的进展”评论的答复
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-11 DOI: 10.1016/j.plrev.2025.07.010
Farzan Zare , Negareh Ghasemi , Nidhi Bansal , Hamid Hosano
None.
没有。
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引用次数: 0
The paradox of the self-studying brain: Timescales, self-representation, and roots of consciousness. Reply to comments on 'The paradox of the self-studying brain' 自我学习大脑的悖论:时间尺度、自我表现和意识的根源。回复“自学大脑的悖论”评论
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-11 DOI: 10.1016/j.plrev.2025.07.008
Simone Battaglia , Philippe Servajean , Karl J. Friston
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引用次数: 0
Embodiment in flux: Comment on “Informational embodiment: Computational role of information structure in codes and robots” by Alexandre Pitti et al. 变化中的体现:评Alexandre Pitti等人的《信息体现:代码和机器人中信息结构的计算作用》。
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-11 DOI: 10.1016/j.plrev.2025.07.014
Ezequiel A. Di Paolo
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引用次数: 0
Comment on 'Can arts-based interventions improve health? A conceptual and methodological critique' by Skov and Nadal - A critique of the critique: Towards a more nuanced evaluation of current research on the health outcomes of arts-based interventions 以艺术为基础的干预措施能改善健康吗?Skov和纳达尔的概念和方法批判-批判的批判:对基于艺术的干预的健康结果的当前研究进行更细致的评估
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-11 DOI: 10.1016/j.plrev.2025.07.015
Vicky Karkou , Pier Luigi Sacco , Matthew Pelowski , Constantina Theofanopoulou , Catherine Carr , Val Huet , Jane Bourne , Robyn Dowlen , Helen Chatterjee
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引用次数: 0
Brain dynamics shape cognition–Spatiotemporal Neuroscience 脑动力学塑造认知-时空神经科学
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-11 DOI: 10.1016/j.plrev.2025.07.009
Georg Northoff , Angelika Wolman , Jianfeng Zhang
Current neuroscience faces a divide between cognitive function and neural dynamics. Cognitive function is typically studied during task-related activity, while neural dynamics are a key feature of the brain’s spontaneous activity, as measured in the resting state. How are dynamics and cognition connected? Although neural dynamics themselves are well understood, their relationship to—and influence on—cognitive functions remain yet unclear. Addressing this gap is the goal of our paper. For that purpose, we first review recent findings on how dynamic features like neural variability and intrinsic neural timescales (INT) shape various cognitive functions. We then expand our view beyond task-specific foreground activity to the deeper background layers of the brain’s neural activity—its task-unspecific and spontaneous activity. This leads us to propose a Dynamic Layer Model of the Brain (DLB). Drawing on empirical and computational evidence, we demonstrate how neural variability, INT, and other dynamic features (such as scale-free dynamics) connect these three layers of neural activity. Next, we show how these three layers from spontaneous over task-unspecific to task-specific activity mediate four temporal mechanisms through which brain dynamics shape cognition: these range from temporal encoding and integration of input dynamics to temporal scaffolding and segmentation of cognitive output. We conclude that the brain’s neural dynamics operate in the background, shaping the cognitive functions and their contents in the neural foreground in a temporal-dynamic manner. This perspective is at the core of Spatiotemporal Neuroscience, which provides a wider framework than Cognitive Neuroscience by revealing how the brain’s intrinsic dynamics shape our cognition.
当前的神经科学面临着认知功能和神经动力学之间的分歧。认知功能通常是在与任务相关的活动中研究的,而神经动力学是大脑自发活动的一个关键特征,在静息状态下测量。动态和认知是如何联系在一起的?虽然神经动力学本身已被很好地理解,但它们与认知功能的关系和影响仍不清楚。解决这一差距是我们论文的目标。为此,我们首先回顾了最近关于神经变异性和内在神经时间尺度(INT)等动态特征如何塑造各种认知功能的研究结果。然后,我们将视野从特定任务的前景活动扩展到大脑神经活动的更深的背景层——它的任务非特异性和自发活动。这导致我们提出一个大脑的动态层模型(DLB)。利用经验和计算证据,我们展示了神经变异性、INT和其他动态特征(如无标度动态)如何将这三层神经活动联系起来。接下来,我们展示了从自发的任务非特异性到任务特异性活动的这三层如何调节大脑动态形成认知的四种时间机制:从输入动态的时间编码和整合到时间支架和认知输出的分割。我们得出的结论是,大脑的神经动力学在后台运作,以一种时间动态的方式塑造了神经前景的认知功能及其内容。这一观点是时空神经科学的核心,它通过揭示大脑的内在动态如何塑造我们的认知,提供了比认知神经科学更广泛的框架。
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引用次数: 0
From seeing X-ray sparks to sparking neural circuits 从看到x射线火花到激发神经回路
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-10 DOI: 10.1016/j.plrev.2025.07.011
Ge Wang
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引用次数: 0
Arts-based interventions: Why It’s Complex, and Why That Matters: Comment on “Can arts-based interventions improve health? A conceptual and methodological critique” by Martin Skov and Marcos Nadal 基于艺术的干预:为什么复杂,为什么重要:评论“基于艺术的干预能改善健康吗?”马丁·斯科夫(Martin Skov)和马科斯·巴布(Marcos bbb)的《概念和方法论批判》
IF 13.7 1区 生物学 Q1 BIOLOGY Pub Date : 2025-07-07 DOI: 10.1016/j.plrev.2025.07.006
Nicola J. Holt
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引用次数: 0
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Physics of Life Reviews
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