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Comment on “To enhance or not to enhance: A debate about cognitive enhancement from a psychological and neuroscientific perspective” by Sandra Grinschgl, Manuel Ninaus, Guilherme Wood, Aljoscha C. Neubauer 对Sandra Grinschgl, Manuel Ninaus, Guilherme Wood, Aljoscha C. Neubauer所著《增强还是不增强:从心理学和神经科学的角度讨论认知增强》的评论
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-11-30 DOI: 10.1016/j.plrev.2025.11.009
Anja Pahor
None.
没有。
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引用次数: 0
Beyond networks: Toward adaptive models of biological complexity 超越网络:迈向生物复杂性的适应性模型
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-03 DOI: 10.1016/j.plrev.2025.11.007
Luiz Pessoa
Network science models have transformed our understanding of complex systems across biology, technology, and society, proving valuable in neuroscience. However, modeling biological complexity poses specific challenges, calling for expansions of traditional network frameworks. This paper explores constructive ways to enhance models, highlighting opportunities such as incorporating time-varying connections, adaptive topologies, and multilayer structures to better represent the temporal dynamics and multilevel interactions characteristic of biological systems. Additionally, it addresses deeper conceptual challenges, notably the substantial context dependence, open-endedness, and history sensitivity often observed in biology. By reviewing concepts such as Kauffman’s ”adjacent possible,” the discussion emphasizes how biological state spaces themselves may dynamically evolve, suggesting the need for modeling strategies beyond static or pre-specified assumptions. Rather than undermining network science, these considerations highlight areas where traditional formalisms can fruitfully adapt and grow, ultimately deepening their explanatory power. The paper advocates integrating data-driven approaches that dynamically infer system properties from empirical observations, balancing modeling generality with biological specificity. Overall, this synthesis provides an assessment of both the strengths of network science and the challenges it faces, proposing constructive avenues for methodological and conceptual innovation that advance our ability to capture the nuanced complexity inherent in biological phenomena.
网络科学模型已经改变了我们对生物、技术和社会等复杂系统的理解,在神经科学领域证明了它的价值。然而,建模生物复杂性提出了具体的挑战,要求扩展传统的网络框架。本文探讨了增强模型的建设性方法,强调了结合时变连接、自适应拓扑和多层结构等机会,以更好地代表生物系统的时间动态和多层次相互作用特征。此外,它解决了更深层次的概念挑战,特别是在生物学中经常观察到的实质性背景依赖性,开放性和历史敏感性。通过回顾诸如考夫曼的“相邻可能”之类的概念,讨论强调了生物状态空间本身是如何动态演变的,这表明需要超越静态或预先指定的假设的建模策略。这些考虑并没有破坏网络科学,而是强调了传统形式主义可以富有成效地适应和发展的领域,最终加深了它们的解释力。本文提倡整合数据驱动的方法,从经验观察中动态推断系统特性,平衡建模的一般性和生物特异性。总的来说,这一综合提供了对网络科学的优势及其面临的挑战的评估,为方法和概念创新提出了建设性的途径,从而提高了我们捕捉生物现象中固有的细微复杂性的能力。
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引用次数: 0
Mnemonics, optimization, and leveraging what we already have: Comment on “To enhance or not to enhance: A debate about cognitive enhancement from a psychological and neuroscientific perspective” by Grinschgl, S., Ninaus, M., Wood, G., & Neubauer, A. C 助记法、优化和利用我们已有的东西:评论“增强还是不增强:从心理学和神经科学的角度讨论认知增强”,作者:Grinschgl, S.、Ninaus, M.、Wood, G.和Neubauer, A. C .
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-21 DOI: 10.1016/j.plrev.2026.01.008
Nicco Reggente , Theo Tobel , Michael Lifshitz
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引用次数: 0
Illuminating brain’s “dark energy”: a living lens of spontaneous slow oscillations. reply to comments on ‘dark brain energy: toward an integrative model of spontaneous slow oscillations’ 照亮大脑的“暗能量”:一个自发缓慢振荡的活透镜。回复“暗脑能量:走向自发慢振荡的综合模型”评论
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-21 DOI: 10.1016/j.plrev.2026.01.007
Zhu-Qing Gong , Xi-Nian Zuo
In our target article “Dark Brain Energy: Toward an Integrative Model of Spontaneous Slow Oscillations”, we proposed a three-layer hierarchical framework to model the spontaneous slow oscillations (SSOs) across six frequency bands to delineate their spectral architecture, functional roles, and neurocognitive basis. We are grateful for the seven insightful commentary articles from colleagues across neuroscience, physics, mathematics, psychology and clinics, which collectively enrich our framework. In this review, we address five key themes emerging from and inspired by these commentaries: (1) the relationship between SSOs and consciousness, (2) the geometric foundations of SSOs, (3) evolutionary, developmental, and metabolic mechanisms of SSOs, (4) mathematical modeling of traveling waves underlying SSOs, and (5) neuroscientific implications for brain-inspired intelligence. We finally integrate these perspectives to refine our original model and outline future research directions.
在我们的目标文章“暗脑能量:走向自发慢振荡的综合模型”中,我们提出了一个三层分层框架来模拟六个频段的自发慢振荡(sso),以描绘它们的频谱结构、功能角色和神经认知基础。我们感谢来自神经科学、物理、数学、心理学和临床等领域的同事们发表的七篇富有洞察力的评论文章,它们共同丰富了我们的框架。在这篇综述中,我们将讨论从这些评论中产生并受到启发的五个关键主题:(1)SSOs与意识之间的关系,(2)SSOs的几何基础,(3)SSOs的进化、发育和代谢机制,(4)SSOs背后的行波的数学建模,以及(5)脑启发智能的神经科学意义。最后,我们整合这些观点来完善我们的原始模型,并概述未来的研究方向。
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引用次数: 0
Informational inbreeding: a useful concept to add to extant evolutionary theories: Comment on “Homo informatio” by Michael J. Walker 信息近交:一个对现存进化理论有用的概念:评迈克尔·j·沃克的《信息人》。
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-12 DOI: 10.1016/j.plrev.2025.12.006
Héctor M. Manrique , Ana Magdalena Hurtado
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引用次数: 0
Sirtuins as modulators of infection outcomes in host-pathogen dynamics, comment on "Sirtuins as modulators of infection outcomes in the battle of host-pathogen dynamics" Sirtuins作为宿主-病原体动力学感染结果的调节剂,评论“Sirtuins作为宿主-病原体动力学战斗中感染结果的调节剂”
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-20 DOI: 10.1016/j.plrev.2026.01.005
Yongzheng Han , Zunwen Zheng , Xinxiu Ren , Guangzhen Wu
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引用次数: 0
Toward embodied and action-oriented studies and models of peripersonal space: Comment on “Computational models of peripersonal space representations” by Bertoni et al. 面向具体化和行动导向的周围个人空间研究和模型:评Bertoni等人的“周围个人空间表征的计算模型”。
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.plrev.2025.12.009
Matej Hoffmann, Zdenek Straka
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引用次数: 0
From Hierarchical Decoding to State Dependent Computation: “Comment on Neural decoding in brain computer interfaces Hierarchical representations, complexity measures, and dynamical perspectives” by Li et al. 从层次解码到状态依赖计算:《脑机接口中的神经解码评论》,作者:Li等。
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-22 DOI: 10.1016/j.plrev.2025.12.014
Han Zhang , Jincan Che
{"title":"From Hierarchical Decoding to State Dependent Computation: “Comment on Neural decoding in brain computer interfaces Hierarchical representations, complexity measures, and dynamical perspectives” by Li et al.","authors":"Han Zhang ,&nbsp;Jincan Che","doi":"10.1016/j.plrev.2025.12.014","DOIUrl":"10.1016/j.plrev.2025.12.014","url":null,"abstract":"","PeriodicalId":403,"journal":{"name":"Physics of Life Reviews","volume":"56 ","pages":"Pages 202-203"},"PeriodicalIF":14.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145836698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mind-body transactions as informational operators: Comment on “Informational embodiment: Computational role of information structure in codes and robots” by A. Pitti, M. Austin, K. Nakajima, and Y. Kuniyoshi 心身交易作为信息操作者:评A. Pitti、M. Austin、K. Nakajima和Y. Kuniyoshi的《信息具体化:代码和机器人中信息结构的计算角色》
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-01 DOI: 10.1016/j.plrev.2025.11.011
Tom Froese , Moritz Kriegleder
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引用次数: 0
Decoding higher-order tumor-microenvironment interactions via an innovative computational framework: Comment on “High-order interaction modeling of tumor-microenvironment crosstalk for tumor growth” by Che et al 通过创新的计算框架解码高阶肿瘤-微环境相互作用:评论Che等人的“肿瘤生长的肿瘤-微环境串扰的高阶相互作用建模”。
IF 14.3 1区 生物学 Q1 BIOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-05 DOI: 10.1016/j.plrev.2025.12.001
Yuan Zhou, Qing Lu
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引用次数: 0
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