Nature Human Behaviour最新文献_第4页

We need to fight for the next generation of US researchers 我们需要为下一代美国研究人员而战

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-09 DOI: 10.1038/s41562-025-02246-x

Nicole C. Rust

引用次数: 0

Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus 人类杏仁核和海马体单个神经元基于特征的人脸识别编码

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-06 DOI: 10.1038/s41562-025-02218-1

Runnan Cao, Jinge Wang, Chujun Lin, Emanuela De Falco, Alina Peter, Hernan G. Rey, Peter Brunner, Jon T. Willie, James J. DiCarlo, Alexander Todorov, Ueli Rutishauser, Xin Li, Nicholas J. Brandmeir, Shuo Wang

{"title":"Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus","authors":"Runnan Cao, Jinge Wang, Chujun Lin, Emanuela De Falco, Alina Peter, Hernan G. Rey, Peter Brunner, Jon T. Willie, James J. DiCarlo, Alexander Todorov, Ueli Rutishauser, Xin Li, Nicholas J. Brandmeir, Shuo Wang","doi":"10.1038/s41562-025-02218-1","DOIUrl":"https://doi.org/10.1038/s41562-025-02218-1","url":null,"abstract":"Neurons in the human amygdala and hippocampus are classically thought to encode a person’s identity invariant to visual features. However, it remains largely unknown how visual information from higher visual cortical areas is translated into such a semantic representation of an individual person. Here, across four experiments (3,581 neurons from 19 neurosurgical patients over 111 sessions), we demonstrate a region-based feature code for faces, where neurons encode faces on the basis of shared visual features rather than associations of known concepts, contrary to prevailing views. Feature neurons encode groups of faces regardless of their identity, broad semantic categories or familiarity; and the coding regions (that is, receptive fields) predict feature neurons’ response to new face stimuli. Together, our results reveal a new class of neurons that bridge perception-driven representation of facial features with mnemonic semantic representations, which may form the basis for declarative memory.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"62 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

End-to-end topographic networks as models of cortical map formation and human visual behaviour 端到端地形网络作为皮质地图形成和人类视觉行为的模型

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-06 DOI: 10.1038/s41562-025-02220-7

Zejin Lu, Adrien Doerig, Victoria Bosch, Bas Krahmer, Daniel Kaiser, Radoslaw M. Cichy, Tim C. Kietzmann

{"title":"End-to-end topographic networks as models of cortical map formation and human visual behaviour","authors":"Zejin Lu, Adrien Doerig, Victoria Bosch, Bas Krahmer, Daniel Kaiser, Radoslaw M. Cichy, Tim C. Kietzmann","doi":"10.1038/s41562-025-02220-7","DOIUrl":"https://doi.org/10.1038/s41562-025-02220-7","url":null,"abstract":"A prominent feature of the primate visual system is its topographic organization. For understanding its origins, its computational role and its behavioural implications, computational models are of central importance. Yet, vision is commonly modelled using convolutional neural networks, which are hard-wired to learn identical features across space and thus lack topography. Here we overcome this limitation by introducing all-topographic neural networks (All-TNNs). All-TNNs develop several features reminiscent of primate topography, including smooth orientation and category selectivity maps, and enhanced processing of regions with task-relevant information. In addition, All-TNNs operate on a low energy budget, suggesting a metabolic benefit of smooth topographic organization. To test our model against behaviour, we collected a dataset of human spatial biases in object recognition and found that All-TNNs significantly outperform control models. All-TNNs thereby offer a promising candidate for modelling primate visual topography and its role in downstream behaviour.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"20 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Protracted development of gaze behaviour 注视行为的长期发展

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-05 DOI: 10.1038/s41562-025-02191-9

Marcel Linka, Harun Karimpur, Benjamin de Haas

引用次数: 0

Majority support for global redistributive and climate policies 大多数人支持全球再分配和气候政策

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-05 DOI: 10.1038/s41562-025-02175-9

Adrien Fabre, Thomas Douenne, Linus Mattauch

引用次数: 0

Large language models without grounding recover non-sensorimotor but not sensorimotor features of human concepts 没有基础的大型语言模型可以恢复人类概念的非感觉运动特征，但不能恢复感觉运动特征

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-04 DOI: 10.1038/s41562-025-02203-8

Qihui Xu, Yingying Peng, Samuel A. Nastase, Martin Chodorow, Minghua Wu, Ping Li

{"title":"Large language models without grounding recover non-sensorimotor but not sensorimotor features of human concepts","authors":"Qihui Xu, Yingying Peng, Samuel A. Nastase, Martin Chodorow, Minghua Wu, Ping Li","doi":"10.1038/s41562-025-02203-8","DOIUrl":"https://doi.org/10.1038/s41562-025-02203-8","url":null,"abstract":"To what extent can language give rise to complex conceptual representation? Is multisensory experience essential? Recent large language models (LLMs) challenge the necessity of grounding for concept formation: whether LLMs without grounding nevertheless exhibit human-like representations. Here we compare multidimensional representations of ~4,442 lexical concepts between humans (the Glasgow Norms1, N = 829; and the Lancaster Norms2, N = 3,500) and state-of-the-art LLMs with and without visual learning, across non-sensorimotor, sensory and motor domains. We found that (1) the similarity between model and human representations decreases from non-sensorimotor to sensory domains and is minimal in motor domains, indicating a systematic divergence, and (2) models with visual learning exhibit enhanced similarity with human representations in visual-related dimensions. These results highlight the potential limitations of language in isolation for LLMs and that the integration of diverse modalities can potentially enhance alignment with human conceptual representation.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"38 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144211025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Current state and future directions of interventions for neglected tropical diseases 被忽视的热带病干预措施的现状和未来方向

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-04 DOI: 10.1038/s41562-025-02219-0

John Owusu Gyapong, Mawuli Gohoho, Alfred Kwesi Manyeh, Mustapha Immurana, Margaret Gyapong

{"title":"Current state and future directions of interventions for neglected tropical diseases","authors":"John Owusu Gyapong, Mawuli Gohoho, Alfred Kwesi Manyeh, Mustapha Immurana, Margaret Gyapong","doi":"10.1038/s41562-025-02219-0","DOIUrl":"https://doi.org/10.1038/s41562-025-02219-0","url":null,"abstract":"Neglected tropical diseases (NTDs) impose severe health, social and economic burdens on millions in impoverished regions. These diseases, once overlooked, have gained global attention following strategic advocacy and planning by the World Health Organization and its partners, and are now prioritized within the Sustainable Development Goals framework. In this Review, we examine current interventions including preventive chemotherapy, innovative and intensified disease management, vector control, One Health, and improvements in water, sanitation and hygiene; and we highlight the role of human behaviour and community engagement and involvement in driving intervention success, sustainability and ownership within communities. Regional disparities, particularly in sub-Saharan Africa and South Asia, call for tailored approaches that tackle logistical barriers, funding constraints, donor dependency, stigma and drug resistance. To control and eradicate NTDs by 2030, we require sustained political commitment, innovative financing and the greater integration of NTD strategies within broader health systems.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"8 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144211024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High variability in LLMs’ analogical reasoning 法学硕士类比推理的高度可变性

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-04 DOI: 10.1038/s41562-025-02224-3

Andrea Gregor de Varda, Chiara Saponaro, Marco Marelli

{"title":"High variability in LLMs’ analogical reasoning","authors":"Andrea Gregor de Varda, Chiara Saponaro, Marco Marelli","doi":"10.1038/s41562-025-02224-3","DOIUrl":"https://doi.org/10.1038/s41562-025-02224-3","url":null,"abstract":"arising from T. Webb et al. Nature Human Behaviour https://doi.org/10.1038/s41562-023-01659-w (2025)In a recent study, Webb, Holyoak and Lu1 (henceforth WHL) demonstrated that a large language model (GPT-3, text-davinci-003) could match or even exceed human performance across several analogical reasoning tasks. This result led to the compelling conclusion that LLMs such as GPT-3 possess an emergent ability to reason by analogy. However, the findings were based on a single, proprietary model for which the releasing company provided limited public details and progressively restricted access to the internal probability distributions. Furthermore, text-davinci-003 was deprecated on 4 January 2024, and is no longer available through the OpenAI API. This poses a challenge to replicability in two ways. First, the lack of open access to the model and its recent deprecation make it difficult—if not impossible—for other researchers to verify or build upon the findings. Second, relying on a single model leaves open the question of whether the results can be extended to LLMs as a broader class of objects of scientific investigation. Without testing a diverse range of models, it is unclear whether the observed behaviours are specific to GPT-3 or represent a general property of comparable contemporary LLMs. Replicating experimental results based on proprietary models with public alternatives is thus crucial to ensure that the findings can be reproduced in the future2, generalized to new model instances, and, more generally, to adhere to transparency principles that are of paramount importance in scientific research3.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"17 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144211208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Navigating anti-science policies in environmental public health 引导环境公共卫生领域的反科学政策

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-04 DOI: 10.1038/s41562-025-02239-w

Qian Di

引用次数: 0

A semantic embedding space based on large language models for modelling human beliefs 基于大型语言模型的语义嵌入空间，用于对人类信念进行建模

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-04 DOI: 10.1038/s41562-025-02228-z

Byunghwee Lee, Rachith Aiyappa, Yong-Yeol Ahn, Haewoon Kwak, Jisun An

引用次数: 0