Current Opinion in Neurobiology最新文献

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Curriculum effects in multitask learning through the lens of contextual inference 从语境推理看多任务学习中的课程效应

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-10-09 DOI: 10.1016/j.conb.2025.103123

Sabyasachi Shivkumar , Máté Lengyel , Daniel M. Wolpert

When learning multiple tasks, the structure of practice, or curriculum, profoundly influences learning outcomes across domains, including motor learning, rule learning, perceptual learning, and machine learning. In multitask learning settings, there is often a trade-off between the speed of acquisition and long-term retention. For example, in motor learning, acquisition appears faster, but retention is substantially reduced with blocked training compared to randomly interleaved training. In machine learning, this effect is known as catastrophic forgetting. In contrast, perceptual and cognitive learning benefit from structured, predictable curricula such as blocked training. We propose contextual inference as a unifying framework to explain these effects, emphasizing the integration of task transition dynamics, contextual cues and observation noise during learning. Insights from this framework may allow mitigating catastrophic interference in machine learning by leveraging principles inspired by biological learning.

当学习多个任务时，实践结构或课程会深刻影响跨领域的学习成果，包括运动学习、规则学习、感知学习和机器学习。在多任务学习环境中，习得速度和长期记忆之间往往存在权衡。例如，在运动学习中，与随机交错训练相比，闭塞训练的习得速度更快，但记忆能力却大大降低。在机器学习中，这种效应被称为灾难性遗忘。相比之下，知觉和认知学习受益于结构化的、可预测的课程，如阻塞训练。我们提出语境推理作为一个统一的框架来解释这些影响，强调任务转移动力学、语境线索和学习过程中的观察噪声的整合。从这个框架中获得的见解可以通过利用受生物学习启发的原理来减轻机器学习中的灾难性干扰。

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Interoception 2025 Interoception 2025。

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-09-30 DOI: 10.1016/j.conb.2025.103122

Zachary A. Knight, Stephen D. Liberles

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Neural basis for parental behavioral transitions in mice 小鼠亲代行为转变的神经基础。

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-09-18 DOI: 10.1016/j.conb.2025.103113

Kazunari Miyamichi

Parental care is fundamental to the physical and mental well-being of mammalian offspring. Females undergo pregnancy, parturition, and lactation, with hormones pivotal to these processes—such as estrogen, prolactin, and oxytocin—also playing essential roles in mediating infant-directed caregiving behaviors. Although the extent of paternal involvement varies widely across species, the same hormones that regulate maternal transitions may be utilized to facilitate paternal behavioral adaptations. Recent advances in single-cell transcriptomics and cell-type-specific genetic manipulations have elucidated the mechanisms through which hormones interact with discrete cell types to drive structural and physiological plasticity within key regions of the brain governing parental behaviors. Furthermore, parental care serves as a valuable model for studying naturally occurring motivated behavioral learning, wherein higher-order cognitive regions and monoaminergic systems play an integrative role. This review highlights recent progress in this field, with a brief discussion on the potential sexually dimorphic engagement of specific hormonal systems.

亲代抚育对哺乳动物后代的身心健康至关重要。雌性动物经历怀孕、分娩和哺乳，在这些过程中至关重要的激素——如雌激素、催乳素和催产素——也在调节婴儿导向的照顾行为中起着重要作用。尽管不同物种中父亲的参与程度差异很大，但调节母亲转变的激素可能被用来促进父亲的行为适应。单细胞转录组学和细胞类型特异性遗传操作的最新进展已经阐明了激素与离散细胞类型相互作用的机制，从而驱动大脑中控制亲代行为的关键区域的结构和生理可塑性。此外，亲代抚育为研究自然发生的动机行为学习提供了一个有价值的模型，其中高阶认知区域和单胺能系统起着综合作用。本文综述了这一领域的最新进展，并简要讨论了特定激素系统潜在的两性二态参与。

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Formation of sensory maps: New tools reveal novel insights into neural development 感官地图的形成：新工具揭示了神经发育的新见解

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-09-15 DOI: 10.1016/j.conb.2025.103112

Nova Qi , Abby Wood , Wesley B. Grueber

The development of functional neural circuits depends on the navigation of neurites (axons and dendrites) through spatially complex and molecularly diverse environments to their appropriate targets. How these processes maneuver through dense surroundings to reach their targets is a long-standing question in neuroscience. Studies of sensory systems have been especially enlightening for identifying cues that underlie connectivity due to their organization as stereotyped neural maps. Recent advances in imaging, connectomics, and genomics have profoundly deepened our understanding of these processes and uncovered new mechanisms regulating circuit development. In this review, we discuss studies of Drosophila sensory systems that provide new insights into axon and dendritic targeting, partner identification and selection, and subcellular refinement. We highlight related or divergent findings in other systems and provide an outlook for future studies.

功能神经回路的发育依赖于神经突（轴突和树突）在空间复杂和分子多样的环境中导航到合适的目标。这些过程如何通过密集的环境达到目标是神经科学中一个长期存在的问题。对感觉系统的研究对于识别连接背后的线索尤其具有启发性，因为它们的组织是刻板的神经地图。成像、连接组学和基因组学的最新进展深刻地加深了我们对这些过程的理解，并揭示了调节回路发育的新机制。在这篇综述中，我们讨论了果蝇感觉系统的研究，为轴突和树突靶向、伴侣识别和选择以及亚细胞改良提供了新的见解。我们强调了其他系统中相关或不同的发现，并对未来的研究进行了展望。

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Neural plasticity supporting parental behaviors 支持父母行为的神经可塑性

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-09-13 DOI: 10.1016/j.conb.2025.103111

Patrick T. O'Neill , Dayu Lin

Becoming a parent involves extraordinary changes that allow caregivers to attend to and nurture infants. Neural circuits must adapt to the demands of caregiving to orchestrate various complex nurturing behaviors. These changes occur between two opposing circuits: a circuit primed for the expression of parenting to execute caregiving, and a circuit that suppresses this behavioral expression when the timing is not appropriate. In this review, we provide an overview of the neural circuits supporting the positive and negative control of parental behaviors and discuss mechanisms by which these opposing circuits are altered to facilitate the onset of parental care.

为人父母会带来巨大的变化，使照顾者能够照顾和养育婴儿。神经回路必须适应照顾的需要，以协调各种复杂的养育行为。这些变化发生在两个相反的回路之间：一个回路准备表达父母的养育行为来执行照顾，另一个回路在时机不合适时抑制这种行为表达。在这篇综述中，我们概述了支持父母行为的积极和消极控制的神经回路，并讨论了这些相反的回路是如何改变以促进亲代照顾的发生的机制。

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Activity-dependent splicing: A game changer for proteome remodeling in the brain 活动依赖剪接：大脑中蛋白质组重塑的游戏规则改变者

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-09-10 DOI: 10.1016/j.conb.2025.103110

Oriane Mauger

The brain’s intricate neuronal circuits are continuously refined by external and internal stimuli throughout life. These plasticity events rely on a major proteome remodeling. Activity-dependent splicing has an unparalleled potential to instruct this proteome remodeling, enabling precise spatial and temporal control. This review examines recent progress in understanding activity-dependent splicing and highlights promising areas for future research into its role in brain plasticity.

大脑错综复杂的神经回路在人的一生中不断受到外部和内部刺激的完善。这些可塑性事件依赖于主要的蛋白质组重塑。活性依赖剪接在指导蛋白质组重塑方面具有无与伦比的潜力，可以实现精确的空间和时间控制。本文回顾了最近在理解活动依赖性剪接方面的进展，并强调了其在大脑可塑性中的作用的未来研究的有希望的领域。

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Statistical learning and representational drift: A dynamic substrate for memories 统计学习和表征漂移：记忆的动态基础

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-09-02 DOI: 10.1016/j.conb.2025.103107

Jens-Bastian Eppler , Matthias Kaschube , Simon Rumpel

In many brain areas, neurons exhibit continuous changes in their tuning properties over days, even when supporting stable percepts and behaviors–a phenomenon termed representational drift. How do neuronal circuits maintain stable function when their constituent elements are in constant flux? Here, we review recent theoretical and experimental work on interconnected levels, ranging from perpetual changes in synapses driving drifts in tuning of individual neurons to emergent stability at the population level, preserving similarities of activity patterns associated to specific percepts or behaviors. We propose that statistical learning, beyond its well-established roles during development and adaptation to new contexts, is also essential under steady behavioral and environmental conditions to safeguard the stability of representational similarities. We discuss implications for learning, memory, and forgetting. This framework reconciles the apparent paradox between unstable neural activity and stable perception, suggesting that representations are maintained through dynamic processes rather than static neural codes.

在许多大脑区域，即使在支持稳定的感知和行为时，神经元也会在几天内表现出其调谐特性的持续变化——这种现象被称为表征漂移。当神经元回路的组成元素不断变化时，它们如何保持稳定的功能？在这里，我们回顾了最近在相互联系水平上的理论和实验工作，从驱动单个神经元调谐漂移的突触的永久变化到群体水平上的紧急稳定性，保持与特定感知或行为相关的活动模式的相似性。我们认为，统计学习不仅在发展和适应新环境中发挥着重要作用，而且在稳定的行为和环境条件下，对于维护表征相似性的稳定性也至关重要。我们讨论了学习、记忆和遗忘的含义。这个框架调和了不稳定的神经活动和稳定的感知之间的明显矛盾，表明表征是通过动态过程而不是静态神经编码来维持的。

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Central regulation of cardio-behavioral responses: Circuit engagement during aversive emotional states 心脏行为反应的中枢调节：厌恶情绪状态下的回路参与

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-08-28 DOI: 10.1016/j.conb.2025.103105

Silvia Rodriguez-Rozada , Philip Tovote

Dynamic cardiovascular control supports adaptive behavior under external and internal influences. Higher-order brain regions regulate stress-related cardiovascular changes via their influence on medullary nuclei, which control autonomic reflexes. Despite extensive research, the precise neural circuits linking cardiac function and behavior under emotional stress remain unclear. This review highlights recent studies identifying specific cell types and pathways involved in cardiovascular regulation, emphasizing their dynamical role under baseline and threat conditions. Cardiovascular responses are closely tied to behavior through descending brain-to-heart command pathways and ascending interoceptive feedback. Our framework for characterizing cardio-behavioral states under threat identifies rapid-acting “microstates” and slow-changing “macrostates” reflecting context- and time-dependent threat levels. Multidimensional measurements and integrated analytical approaches are required to study neural circuits controlling cardio-behavioral states. Understanding the homeodynamic regulation of cardiac function and its behavioral links is essential for unraveling brain-heart interactions.

动态心血管控制支持在外部和内部影响下的适应性行为。高阶脑区通过影响髓核来调节与压力相关的心血管变化，髓核控制自主神经反射。尽管进行了广泛的研究，但在情绪压力下连接心脏功能和行为的精确神经回路仍不清楚。这篇综述重点介绍了最近的研究，确定了参与心血管调节的特定细胞类型和途径，强调了它们在基线和威胁条件下的动态作用。通过下行的脑-心命令通路和上行的内感受反馈，心血管反应与行为密切相关。我们描述威胁下心脏行为状态的框架确定了快速作用的“微观状态”和缓慢变化的“宏观状态”，反映了环境和时间依赖的威胁水平。研究控制心脏行为状态的神经回路需要多维测量和综合分析方法。了解心脏功能的动态调节及其行为联系对于揭示脑-心相互作用至关重要。

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引用次数: 0

Editorial overview: Introduction to neurobiology of learning and plasticity 编辑概述：学习和可塑性神经生物学导论

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-08-27 DOI: 10.1016/j.conb.2025.103098

Jason Shepherd, Hey-Kyoung Lee

引用次数: 0

Bridging theory and experiment in (statistical) learning （统计）学习理论与实验的桥梁

IF 5.2 2区医学 Q1 NEUROSCIENCES

Current Opinion in Neurobiology

Pub Date : 2025-08-27 DOI: 10.1016/j.conb.2025.103106

Tara Keck

Statistical learning and neuroplasticity have been studied extensively over the past decades by theorists and experimentalists working in animal and human experimental models, with neurobiologists, cognitive neuroscientists, and theorists each offering complementary inputs to the field. While there are collaborations between theorists and each of experimentalists working in animal and human models, there are more limited interactions across the experimental groups, with these fields remaining largely siloed. Here, we discuss the challenges for cross-disciplinary collaboration, as well as offer suggestions for ways to facilitate it in the future. We propose that theorists are in a key position to facilitate interactions between experimentalists working in animal and human models by developing theories or working models that span these two fields to enable cross-disciplinary collaboration. Increasing training for early career researchers to become skilled cross-disciplinary collaborators may also help facilitate future interactions in these fields.

在过去的几十年里，理论家和实验学家在动物和人类实验模型中对统计学习和神经可塑性进行了广泛的研究，神经生物学家、认知神经科学家和理论家都为该领域提供了互补的投入。虽然在动物和人类模型中，理论学家和每一位实验学家之间都有合作，但实验组之间的互动更为有限，这些领域在很大程度上仍然是孤立的。在这里，我们将讨论跨学科合作所面临的挑战，并就如何促进跨学科合作提出建议。我们认为，通过发展跨越这两个领域的理论或工作模型，理论家在促进动物和人类模型实验家之间的互动方面处于关键地位，从而实现跨学科合作。增加对早期职业研究人员的培训，使他们成为熟练的跨学科合作者，也可能有助于促进这些领域未来的互动。

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