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A unifying taxonomy of dyadic emotional processes 二元情感过程的统一分类
IF 19.9 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-22 DOI: 10.1016/j.tics.2025.12.008
Martine W.F.T. Verhees, Batja Mesquita, Eva Ceulemans, Joeri Hofmans, Lesley Verhofstadt, Peter Kuppens
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引用次数: 0
Neurocomputational mechanisms of adaptive mentalization in humans 人类适应性心智化的神经计算机制
IF 19.9 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-21 DOI: 10.1016/j.tics.2025.11.009
Toan Nong, Jun Feng, Jean-Claude Dreher
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引用次数: 0
Emotion may indirectly link rendering and social reasoning 情感可能间接地将渲染与社会推理联系起来
IF 19.9 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-21 DOI: 10.1016/j.tics.2025.12.009
Halely Balaban, Tomer D. Ullman
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引用次数: 0
Rendering aphantasia into the social realm 使幻觉进入社会领域
IF 19.9 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-20 DOI: 10.1016/j.tics.2025.11.014
Adam Zeman, Bérengère Digard, Francesca Happé, Brian Levine, Merlin Monzel
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引用次数: 0
No free lunch with the binding problem. 没有免费的午餐和绑定问题。
IF 17.2 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-15 DOI: 10.1016/j.tics.2025.12.002
Giacomo Aldegheri, Roland W Fleming
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引用次数: 0
Moving intentions from brains to machines. 将意图从大脑转移到机器。
IF 17.2 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-14 DOI: 10.1016/j.tics.2025.12.003
Christian Beste, Heleen A Slagter, Christian Herff, Yukiyasu Kamitani, Sabrina Coninx, Richard van Wezel, Christian Frings

Brain-computer interface (BCI) research has achieved remarkable technical progress but remains limited in scope, typically relying on motor and visual cortex signals in limited patient populations. We propose a paradigm shift in BCI design rooted in ideomotor theory, which conceptualizes voluntary action as driven by internally represented sensory outcomes. This underused framework offers a principled basis for next-generation BCIs that align closely with the brain's natural intentional and action-planning architecture. We suggest a more intuitive, generalizable, and scalable path by reorienting BCIs around the 'what for' of action-user goals and anticipated effects. This shift is timely and feasible, enabled by advances in neural recording and artificial intelligence-based decoding of sensory representations. It may help resolve challenges of usability and generalizability in BCI design.

脑机接口（BCI）的研究已经取得了显著的技术进步，但范围仍然有限，通常依赖于有限患者群体的运动和视觉皮层信号。我们提出了一种基于观念运动理论的BCI设计范式转变，该理论将自愿行为概念化为由内部表征的感觉结果驱动。这个未被充分利用的框架为下一代脑机接口提供了一个原则性的基础，这些脑机接口与大脑的自然意图和行动计划架构密切相关。我们建议采用一种更直观、更通用、更可扩展的路径，即围绕行动用户目标和预期效果的“目的”重新定位bci。由于神经记录和基于人工智能的感官表征解码技术的进步，这种转变是及时和可行的。它可能有助于解决BCI设计中的可用性和通用性挑战。
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引用次数: 0
Advisory Board and Contents 咨询委员会及内容
IF 19.9 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-06 DOI: 10.1016/s1364-6613(25)00363-8
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引用次数: 0
Subscription and Copyright Information 订阅及版权资料
IF 19.9 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-06 DOI: 10.1016/s1364-6613(25)00366-3
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引用次数: 0
How AI tools can enhance generalizability. 人工智能工具如何提高通用性。
IF 17.2 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-03 DOI: 10.1016/j.tics.2025.11.010
Zhicheng Lin
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引用次数: 0
The Reward Positivity signals a goal prediction error 奖励积极性表示目标预测错误
IF 19.9 1区 心理学 Q1 BEHAVIORAL SCIENCES
Trends in Cognitive Sciences
Pub Date : 2026-01-02 DOI: 10.1016/j.tics.2025.11.005
James F. Cavanagh, Clay B. Holroyd
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引用次数: 0
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