Annals of the New York Academy of Sciences最新文献_第3页

The Roles of Autonomic Arousal and Self-Reported Stress in Children's Disclosure of a Minor Transgression 自主神经觉醒和自我报告压力在儿童轻微违法行为披露中的作用。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70264

Laura M. Fulton, Joanna Peplak, J. Zoe Klemfuss

{"title":"The Roles of Autonomic Arousal and Self-Reported Stress in Children's Disclosure of a Minor Transgression","authors":"Laura M. Fulton, Joanna Peplak, J. Zoe Klemfuss","doi":"10.1111/nyas.70264","DOIUrl":"10.1111/nyas.70264","url":null,"abstract":"<p>Accurate disclosures from children are essential in child maltreatment investigations, yet many children are reluctant to disclose adverse experiences. Biologically sensitive children may experience stronger stress responses in morally or socially charged situations, potentially inhibiting disclosure. The present study examined whether stress, measured physiologically via autonomic nervous system (ANS) arousal and subjectively via self-reported stress, predicted children's disclosure of a transgression. Children (<i>N</i> = 337; ages 4–9 years) participated in a laboratory-based paradigm, during which two toys broke in their hands, and a confederate asked them to keep it a secret. Acute ANS arousal was indexed by heart rate during the minute following the secrecy instruction relative to baseline. Children also self-reported their stress and calmness at baseline and immediately post-transgression. Children were then interviewed using a NICHD-informed forensic-style interview protocol. Higher ANS arousal post-secrecy instruction predicted a lower likelihood of disclosure. In contrast, higher self-reported calmness post-transgression predicted a reduced likelihood of disclosure, while self-reported stress was unrelated. Age was positively associated with disclosure but did not moderate stress−disclosure associations. Findings highlight the value of assessing stress beyond self-report, with heightened ANS arousal capturing nondisclosure risk that children may strategically downplay or fail to recognize in self-reports.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://nyaspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70264","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Randomized Controlled Trial of the Big Brothers Big Sisters of America Community-Based Mentoring Program 美国大哥大姐社区辅导计划的随机对照试验。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70265

David L. DuBois, Carla Herrera, Julius Rivera, Vanessa Brechling, Staci Root

{"title":"A Randomized Controlled Trial of the Big Brothers Big Sisters of America Community-Based Mentoring Program","authors":"David L. DuBois, Carla Herrera, Julius Rivera, Vanessa Brechling, Staci Root","doi":"10.1111/nyas.70265","DOIUrl":"10.1111/nyas.70265","url":null,"abstract":"<div>\u0000 \u0000 <p>Mentoring programs are a widely used strategy for both the prevention of problem behavior and the promotion of healthy development and resilience among disadvantaged youth. The largest and longest-standing of these programs in the United States is the community-based mentoring (CBM) program of Big Brothers Big Sisters of America. This research reports findings from a randomized controlled trial of the CBM program that followed 1353 youth ages 10 and older for 4 years. Outcomes were assessed through youth and parent surveys and administrative records of arrest, with program effects examined through intent-to-treat analyses on hypothesized primary and secondary outcomes as assessed at study endpoint. For primary outcomes, the treatment group had significantly lower rates of violence-related delinquent behavior and recurring substance use and nonsignificantly lower rates of property-related delinquent behavior and arrest. For secondary outcomes, there were significant effects favoring the treatment group on measures of risk factors for problem behavior (e.g., negative peer associations), personal resources (e.g., self-control, social skills, coping efficacy), mental health (e.g., positive affect, depressive symptoms), academic performance, and the parenting behavior of the youth's caregiver; there were also numerous outcomes for which effects were nonsignificant, albeit in nearly all cases in a direction favoring the treatment group.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Emergence of a Universal Rhythmic Feature: Simple Models Can Produce Categorical Rhythms 普遍节奏特征的出现：简单模式可以产生范畴节奏。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70262

Chloé Coissac, Laura Ferreri, Marco Gamba, Andrea Ravignani, Yannick Jadoul

{"title":"The Emergence of a Universal Rhythmic Feature: Simple Models Can Produce Categorical Rhythms","authors":"Chloé Coissac, Laura Ferreri, Marco Gamba, Andrea Ravignani, Yannick Jadoul","doi":"10.1111/nyas.70262","DOIUrl":"10.1111/nyas.70262","url":null,"abstract":"<p>Across musical cultures, rhythm consists of discrete categories of interval durations. Such rhythmic categories are also increasingly quantified in various nonhuman species’ displays. However, their evolutionary origins are still largely unknown. Complementing cross-species comparative work with computational modeling can help us understand the cognitive mechanisms underlying the emergence of this universal rhythmic feature and the minimum requirements for producing it. This study investigates whether minimal computational models can produce rhythmic categories. We compare two computational models: a single spiking neuron model representing a minimal neural system, and a model of cricket stridulation as a minimal synchronization mechanism. Both models transform a random temporal sequence into a more structured, isochronous rhythm; that is, randomly distributed temporal intervals get more similar in duration. An isochronous input sequence, in contrast, combined with the models’ intrinsic bias, has a more complex effect on the produced temporal patterns. At frequencies that closely relate to the models’ intrinsic frequency, the models produce stable temporal patterns with rhythmic categories. Our results show that rhythmic categories can emerge from simple mechanisms, likely shared across species, especially when multiple individually isochronous mechanisms interact. As such, we should expect to find categorical rhythms across an even larger range of animal displays.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://nyaspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70262","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lightweight Multi-Occlusion Pear Detection via Multi-Auxiliary Domain Transfer Learning for Robotic Harvesting 基于多辅助领域迁移学习的轻型多遮挡梨检测。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70260

Pengfei Lv, Jinlin Xue, Shaohua Liu, Wenbo Wei, Hao Zhu, Tianxing Zhao, Tianyu Zhang, Hanzhao Miao

{"title":"Lightweight Multi-Occlusion Pear Detection via Multi-Auxiliary Domain Transfer Learning for Robotic Harvesting","authors":"Pengfei Lv, Jinlin Xue, Shaohua Liu, Wenbo Wei, Hao Zhu, Tianxing Zhao, Tianyu Zhang, Hanzhao Miao","doi":"10.1111/nyas.70260","DOIUrl":"10.1111/nyas.70260","url":null,"abstract":"<div>\u0000 \u0000 <p>Accurate detection of occluded pears is vital for selective robotic picking. However, existing methods face critical challenges: an inadequate trade-off between lightweight model design and detection accuracy, which restricts deployment on resource-constrained robotic platforms; a domain shift issue in transfer learning, resulting in long training times and wasted computational resources; and oversimplified single-category classification that misidentifies occluded fruits, causing picking failures and hardware damage. We propose a lightweight detector empowered by multi-auxiliary domain transfer learning (MADTL) for accurate multicategory pear detection. Specifically, built upon YOLOv8, the proposed detector optimizes the backbone and neck architectures by integrating advanced modules to enhance feature extraction and fusion efficiency. Crucially, the proposed MADTL strategy introduces apple and orange datasets to bridge the source–target domain gap, significantly accelerating convergence. Benchmarked against YOLOv8s, our detector reduces model size by 62.4% and floating-point operations by 53.7%. Notably, MADTL accelerates convergence by 75% while boosting accuracy. Field deployment achieves real-time inference at 47.39 ms per image. These improvements enable real-time deployment on resource-constrained edge devices while maintaining high detection accuracy, providing essential support for selective harvesting to minimize picking failures and enhance operational efficiency.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Lightweight State Space Model With Multiscale Morphology and Low-Rank Head for Hyperspectral Image Classification 基于多尺度形态学和低秩头的高光谱图像分类轻量化状态空间模型。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70271

Shanglei Chai, Zhenpeng Zhang, Zhiyuan Zhang, Zhi Zeng, Dajiang Lu, Yibin Tian

{"title":"A Lightweight State Space Model With Multiscale Morphology and Low-Rank Head for Hyperspectral Image Classification","authors":"Shanglei Chai, Zhenpeng Zhang, Zhiyuan Zhang, Zhi Zeng, Dajiang Lu, Yibin Tian","doi":"10.1111/nyas.70271","DOIUrl":"10.1111/nyas.70271","url":null,"abstract":"<div>\u0000 \u0000 <p>State space models (SSMs) have advanced hyperspectral image (HSI) classification, yet existing approaches have limitations. They typically rely on single-scale feature extractors, limiting their ability to model various spatial geometries, and their standard backbones can exhibit training instability when processing complex HSI data. To overcome these challenges, this paper proposes a novel lightweight multiscale morphology-enhanced low-rank head residual state space network (MMLH-RSSN), built on a synergistic framework developed for robust feature representation and efficient modeling. Specifically, we first designed a multiscale morphological module to explicitly capture hierarchical spatial features, a crucial step for distinguishing spectrally similar classes with varying scales. To effectively encode these complex features, we then introduced an enhanced Residual SSM, which integrates residual connections and layer normalization to significantly improve model stability and learning capacity. An end-to-end lightweight design was ensured by a parameter-efficient low-rank decomposition head. Extensive experiments on four benchmark datasets show that MMLH-RSSN achieves state-of-the-art performance, with overall accuracies of 98.51% and 99.69% on the Pavia University and Botswana datasets, using only 0.063 M parameters. This work demonstrates that a synergistic combination of multiscale priors and a stabilized SSM backbone offers a highly accurate and efficient solution for HSI classification, particularly for resource-constrained scenarios.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LiteMapNet: Lightweight Online High-Definition Mapping With Attention Head Pruning LiteMapNet：轻量级在线高清地图与注意头部修剪。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70261

Shuangtong Liu, Tao Liu, Wenning Wang, Ping Du, Wende Li, Pengpeng Li

{"title":"LiteMapNet: Lightweight Online High-Definition Mapping With Attention Head Pruning","authors":"Shuangtong Liu, Tao Liu, Wenning Wang, Ping Du, Wende Li, Pengpeng Li","doi":"10.1111/nyas.70261","DOIUrl":"10.1111/nyas.70261","url":null,"abstract":"<div>\u0000 \u0000 <p>High-definition (HD) maps provide precise geometric priors for perception and planning in autonomous driving; however, existing online HD map construction models are often computationally demanding, which hampers real-time deployment on resource-constrained in-vehicle platforms. To address this issue, we propose LiteMapNet, a lightweight transformer-based framework that accelerates online HD map construction by eliminating redundancy in self-attention and cross-attention modules. LiteMapNet employs a post-training, two-stage structured attention-head pruning pipeline. In the first stage, we estimate attention-head importance using the Fisher information matrix and prune redundant heads with minimal impact on mapping accuracy under a specified compute and latency budget. In the second stage, we introduce continuous learnable mask variables and optimize them through lightweight calibration to recover performance while improving stability and generalization, without incurring additional inference-time overhead. Experiments on nuScenes and Argoverse 2 show that LiteMapNet substantially reduces computational cost and floating point operations using only a small calibration set. While keeping the accuracy drop below 1% as compared to the unpruned MapQR baseline, LiteMapNet achieves up to 1.5× inference speedup on a 4× NVIDIA H100 GPU server, enabling efficient deployment of online HD map models in resource-limited settings.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cardiac Synchrony During Collaborative Drawing: A Longitudinal Comparison of Same Generation and Intergenerational Dyads 协同绘画时的心脏同步：同代与代际双体的纵向比较

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70272

Ryssa Moffat, Luca A. Naudszus, Emily S. Cross

{"title":"Cardiac Synchrony During Collaborative Drawing: A Longitudinal Comparison of Same Generation and Intergenerational Dyads","authors":"Ryssa Moffat, Luca A. Naudszus, Emily S. Cross","doi":"10.1111/nyas.70272","DOIUrl":"10.1111/nyas.70272","url":null,"abstract":"<p>Intergenerational social programs provide opportunities for people of all ages to form new relationships. Furthermore, existing qualitative and behavioral evidence from such programs points to health and wellbeing benefits, yet the physiological consequences of repeated intergenerational encounters remain unknown. A deeper understanding of how such programs shape dyadic physiological responses will illuminate the mechanisms of relationship formation. Across a six-session collaborative drawing program, we tracked cardiac synchrony within 31 intergenerational (older/younger adult) and 30 same generation (younger adult) dyads. Each session, dyads completed self-report measures, then drew together and alone while we recorded participants’ actions with motion capture and physiological signals (neural and cardiac) using functional near-infrared spectroscopy. Collaborative behavior, self-reported social closeness, and interpersonal distance (i.e., proximity) showed group-specific patterns, whereby interpersonal distance emerged as a promising objective measure of relationship development. Cardiac synchrony did not covary with group, task, an interaction thereof, or any measure of behavior or social closeness—yet there was a trending relationship between collaboration while drawing together and cardiac synchrony for intergenerational dyads only. In summary, cardiac synchrony pointed to marginally enhanced arousal during active collaboration between older and younger adults. Relationship development was better characterized, in this study, by behavior and self-report measures than cardiac synchrony.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://nyaspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70272","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Top-Down Attention Modulates Phase Effects on Audio-Tactile Processing 自上而下的注意调节听觉触觉加工的相位效应。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70269

Xueying Fu, Antonio Criscuolo, Lars Riecke

{"title":"Top-Down Attention Modulates Phase Effects on Audio-Tactile Processing","authors":"Xueying Fu, Antonio Criscuolo, Lars Riecke","doi":"10.1111/nyas.70269","DOIUrl":"10.1111/nyas.70269","url":null,"abstract":"<p>Multisensory processing is necessary in our daily lives, which is modulated by the temporal alignment of multiple sensory inputs. However, it remains poorly understood if and how selective attention interacts with this temporal alignment to further modulate audio-tactile processing. This study aimed to explore how selective attention and temporal alignment influence cortical responses to rhythmic audio-tactile streams. Participants were exposed to periodic auditory tones embedded in continuous background noise, either presented alone or paired with fluctuating tactile stimulation that was either in-phase or anti-phase with the tones. Selective attention was manipulated by instructing participants to perform an auditory detection task focusing on either the tones or the background noise. Electroencephalography recordings revealed that anti-phase audio-tactile inputs, compared to auditory-only inputs, elicited enhanced cortical steady-state responses and phase-locking to the tones. Importantly, this effect was further enhanced when participants paid attention to the tone, potentially reflecting the resolution of sensory competition among the simultaneous auditory and tactile inputs. In-phase tactile inputs elicited nonsignificant increases in tone processing regardless of attention. In sum, these findings underscore the dynamic interplay between bottom-up temporal alignment and top-down attentional modulations in audio-tactile processing, providing insights into how the brain integrates audio-tactile information.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://nyaspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70269","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning Identification of Progressive Pulmonary Fibrosis in ILD Using KL-6 and Routine Blood Parameters 使用KL-6和常规血液参数的机器学习识别ILD进行性肺纤维化。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70251

Yifan Chen, Qianyue Yang, Xingyi Liang, Chenxin Liu, Yanting Fang, Huimin Huang, Baoqing Sun

{"title":"Machine Learning Identification of Progressive Pulmonary Fibrosis in ILD Using KL-6 and Routine Blood Parameters","authors":"Yifan Chen, Qianyue Yang, Xingyi Liang, Chenxin Liu, Yanting Fang, Huimin Huang, Baoqing Sun","doi":"10.1111/nyas.70251","DOIUrl":"10.1111/nyas.70251","url":null,"abstract":"<div>\u0000 \u0000 <p>Progressive pulmonary fibrosis (PPF) in interstitial lung disease (ILD) is a high-mortality phenotype of ILD that poses diagnostic challenges in resource-limited settings lacking advanced imaging and can require invasive diagnostic procedures. We aimed to develop a machine learning model for PPF-ILD diagnosis using routine blood parameters and the biomarker Krebs von den Lungen-6 (KL-6). Data from 10,687 ILD patients (4399 stable, 6288 PPF-ILD) at the First Affiliated Hospital of Guangzhou Medical University (2016–2025) were divided into training (January 2016–October 2022) and temporal validation (November 2022–July 2025) cohorts. Significant variables were identified via univariable logistic regression; 12 algorithms generated 130 models evaluated by area under the curve (AUC), calibration, and decision curve analysis (DCA). The Lasso + random forest (RF) model (20 variables) achieved an AUC of 0.998 in training and 0.842 in validation; glmBoost + RF (10 variables) yielded an AUC of 0.996 in training and 0.831 in validation, a sensitivity of 90.0%, a specificity of 61.0%, and an F1 score of 83.3%. Both models exhibited excellent calibration and DCA net benefit. KL-6 was the strongest predictor (OR = 6.20, 95% CI = 5.67–6.79). This streamlined model offers performance comparable to the more complex Lasso + RF model but with superior clinical applicability, providing an objective, noninvasive tool for early PPF-ILD detection in resource-constrained environments.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Structure, Dynamics, and Neural Codes in a Bat Social Network 蝙蝠社会网络的结构、动态和神经编码。

IF 4.8 3区综合性期刊

Annals of the New York Academy of Sciences Pub Date : 2026-04-07 DOI: 10.1111/nyas.70250

Saikat Ray, Liora Las, Nachum Ulanovsky

{"title":"Structure, Dynamics, and Neural Codes in a Bat Social Network","authors":"Saikat Ray, Liora Las, Nachum Ulanovsky","doi":"10.1111/nyas.70250","DOIUrl":"10.1111/nyas.70250","url":null,"abstract":"<p>Group formation and maintenance are critical for the survival of social organisms. We investigated a colony of highly social, wild Egyptian fruit bats in a laboratory-based cave to comprehensively characterize how their social networks evolve and stabilize over weeks and months. Using state-of-the-art tracking methods and videography, we documented the identities, locations, and social interactions between individual bats. We characterized the structure of social networks based on proximity-based social affiliation and rate of social interactions—and found that the network structure evolved dynamically over a few days after the formation or alteration of the group, and subsequently stabilized. Social dominance relationships initially evolved and then remained stable over several months and were reflected in several aspects of the bats’ natural behavior, such as the monopolization of food resources and sleeping arrangements. We also conducted wireless single-unit neural recordings in this freely behaving social colony and investigated hippocampal CA1 neurons. A subset of neurons encoded the relative (egocentric) location of other individuals and tracked the directions and distances to them. These egocentric neurons encoded more strongly high-hierarchy bats. Overall, after an initial dynamic period of group formation, the bats established a highly structured and stable social network, which was reflected in their neural codes.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1558 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://nyaspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70250","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0