Cognitive Neuroscience最新文献_第2页

In defense of categories. 为类别辩护。

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2026-04-01 Epub Date: 2025-11-16 DOI: 10.1080/17588928.2025.2590660

Hans Op de Beeck

引用次数: 0

Seeking cognitive and neural specificity in occipitotemporal cortex. 寻找枕颞皮质的认知和神经特异性。

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2026-04-01 Epub Date: 2025-11-16 DOI: 10.1080/17588928.2025.2590657

Marc N Coutanche

引用次数: 0

Category selectivity as a window into behavioral relevance. 类别选择性是研究行为相关性的窗口。

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2026-04-01 Epub Date: 2025-11-23 DOI: 10.1080/17588928.2025.2590656

Leonard E van Dyck, Katharina Dobs

引用次数: 0

Toward a cognitive neuroscience of technology. 走向认知神经科学技术。

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2026-03-23 DOI: 10.1080/17588928.2026.2647745

Giovanni Federico, Ciro Rosario Ilardi, Maria A Brandimonte, Paola Marangolo, François Osiurak

{"title":"Toward a cognitive neuroscience of technology.","authors":"Giovanni Federico, Ciro Rosario Ilardi, Maria A Brandimonte, Paola Marangolo, François Osiurak","doi":"10.1080/17588928.2026.2647745","DOIUrl":"10.1080/17588928.2026.2647745","url":null,"abstract":"In our target article, we proposed a hub-and-processors model of technological cognition. The twelve commentaries that followed offer a rare opportunity to refine, extend and test that framework against new perspectives. We integrate their contributions into a revised synthesis. The parietal sites now gain sharper anatomical definition: core substrates of technical reasoning can be more clearly distinguished from adjacent regions supporting manipulation knowledge and mental-to-digital goal-directed conceptual transformations. The inferior frontal gyrus, in turn, emerges as a dual-function node - one that routes information across hubs while simultaneously meeting the planning and control demands of tool-related behavior. Beyond cortical organization, the commentaries push the framework toward white-matter connectivity, reward and motivational circuits, as well as affordance-based theoretical accounts spanning the physical, digital and symbolic domains. They also broaden the model's translational scope to aging, neurodegeneration, digital inclusion, and neurorehabilitation, and open new lines of inquiry into temporal dynamics, expertise, and cognitive extension. The cumulative result is a strengthened case for a cognitive neuroscience of technology: a mechanistic, translational and lifespan-oriented program aimed at understanding how the brain supports technology use, acquires technological skills and is, over time, reshaped by sustained engagement with technological artifacts.","PeriodicalId":10413,"journal":{"name":"Cognitive Neuroscience","volume":" ","pages":"1-8"},"PeriodicalIF":2.2,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147502982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visuo-spatial working memory abilities modulate mental rotation: Evidence from event-related potentials. 视觉空间工作记忆能力调节心理旋转：事件相关电位的证据

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2026-01-01 Epub Date: 2024-10-11 DOI: 10.1080/17588928.2024.2409715

Binglei Zhao, Sergio Della Sala, Elena Gherri

{"title":"Visuo-spatial working memory abilities modulate mental rotation: Evidence from event-related potentials.","authors":"Binglei Zhao, Sergio Della Sala, Elena Gherri","doi":"10.1080/17588928.2024.2409715","DOIUrl":"10.1080/17588928.2024.2409715","url":null,"abstract":"In the present study, we investigated whether differences in spatial working memory (SWM) abilities - assessed through the Corsi block task (CBT) - impact the processes of mental rotation (MR) engaged during a classic letter rotation task. Based on the median split of their scores in the CBT, participants were divided into a higher and a lower SWM group. Behavioral and electrophysiological data were recorded while participants completed the MR task and were compared across groups. Higher error rates were observed in individuals with lower than higher SWM scores, while no RT differences emerged. Systematic group differences were observed before and during the MR process of canonical letters. A delayed onset of the event-related potential (ERP) rotation-related negativity (RRN), a reliable psychophysiological marker for MR processes, was observed in the lower SWM group for all rotation angles, suggesting that a longer time is needed to generate a mental representation of familiar stimuli in individuals with lower SWM scores. Furthermore, a delayed RRN offset indicating the end of the MR process and longer RRN durations suggesting longer MR processes were found for letters with larger rotation angles (i.e. 120°, 150°) in individuals with lower SWM scores on canonical character trials. These observed group differences provided evidence for the debated issue of the interaction between SWM and MR, suggesting that SWM plays a role in both the initial phase to generate the mental representation of familiar objects and during the MR process, especially for larger angles.","PeriodicalId":10413,"journal":{"name":"Cognitive Neuroscience","volume":" ","pages":"1-12"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142459575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A feature-based generalizable prediction model for both perceptual and abstract reasoning. 一种基于特征的可泛化预测模型，适用于感知推理和抽象推理。

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2026-01-01 Epub Date: 2025-12-15 DOI: 10.1080/17588928.2025.2599784

Quan Do, Thomas M Morin, Chantal E Stern, Michael E Hasselmo

{"title":"A feature-based generalizable prediction model for both perceptual and abstract reasoning.","authors":"Quan Do, Thomas M Morin, Chantal E Stern, Michael E Hasselmo","doi":"10.1080/17588928.2025.2599784","DOIUrl":"10.1080/17588928.2025.2599784","url":null,"abstract":"A hallmark of human intelligence is the ability to infer abstract rules from limited experience and apply these rules to unfamiliar situations. This capacity is widely studied in the visual domain using the Raven's Progressive Matrices. Recent advances in deep learning have led to multiple artificial neural network models matching or even surpassing human performance. However, while humans can identify and express the rule underlying these tasks with little to no exposure, contemporary neural networks often rely on massive pattern-based training and cannot express or extrapolate the rule inferred from the task. Furthermore, most Raven's Progressive Matrices or Raven-like tasks used to train neural networks consist only of symbolic challenges, whereas humans can flexibly solve both symbolic and perceptual challenges. In this work, we present an algorithmic approach to rule detection and application using feature detection, affine transformation estimation and search. We applied our model to a simplified Raven's Progressives Matrices task, previously designed for behavioral testing and neuroimaging in humans. The model exhibited one-shot inference and achieved near human-level performance in the symbolic reasoning condition of the simplified task. Furthermore, the model can express the relationships discovered and generate multi-step predictions in accordance with the underlying rule. Finally, the model can handle perceptual challenges containing continuous patterns. We discuss our results and their relevance to studying abstract reasoning in humans, as well as their implications for improving intelligent machines.","PeriodicalId":10413,"journal":{"name":"Cognitive Neuroscience","volume":" ","pages":"13-29"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145755387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reducing type II error in fMRI analysis: cluster-extent threshold simulation results and an evaluation of current methods to correct for multiple comparisons. 减少fMRI分析中的II型误差：聚类范围阈值模拟结果和对当前方法的评估，以纠正多重比较。

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2026-01-01 Epub Date: 2026-01-18 DOI: 10.1080/17588928.2026.2615960

Scott D Slotnick

{"title":"Reducing type II error in fMRI analysis: cluster-extent threshold simulation results and an evaluation of current methods to correct for multiple comparisons.","authors":"Scott D Slotnick","doi":"10.1080/17588928.2026.2615960","DOIUrl":"10.1080/17588928.2026.2615960","url":null,"abstract":"Many procedures to correct for multiple comparisons in functional magnetic resonance imaging (fMRI) analysis require a minimum cluster-extent threshold; however, sample size (N) is often not modeled. In this study, a series of simulations was conducted where N was varied to determine whether this parameter affected cluster threshold. The primary hypothesis was that modeling N in the simulations would reduce cluster thresholds. A secondary hypothesis was that this cluster size reduction was due to between-subject variability, which was tested by eliminating the corresponding standard error term. Acquisition volume parameters were fixed, while key parameters were varied to reflect reasonable ranges: N (10, 20, or 30), corrected p-value (.05, .01, or .001), individual-voxel p-value (.01, .005, or .001), FWHM (3, 5, or 7 mm), and voxel resolution (2 or 3 mm). Each simulation consisted of 100 iterations repeated 100 times, with a total of 4,860,000 iterations and 66,420,000 simulated subjects. There was a significant effect of condition with clusters approximately 18% smaller with versus without N modeled and a significant increase in cluster thresholds for larger sample sizes. Bayesian analysis provided very strong support for the secondary hypothesis. These simulation results were replicated in a real fMRI data set. The present findings indicate that sample size should be incorporated into all methods to provide the most accurate thresholds possible and reduce type II error. A broader range of topics is discussed including balancing type I and type II error, and the assumption that non-task fMRI activity reflects null data is questioned.","PeriodicalId":10413,"journal":{"name":"Cognitive Neuroscience","volume":" ","pages":"30-47"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the role of the frontal lobe in tool-use tasks: how much does it represent domain-general rather than domain-specific contribution? 理解额叶在工具使用任务中的作用：它在多大程度上代表了一般领域而不是特定领域的贡献？

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2025-11-21 DOI: 10.1080/17588928.2025.2576114

Clara Seifert, Joachim Hermsdörfer

引用次数: 0

From framework to function: sharpening digital tool use within technological cognition. 从框架到功能：在技术认知中强化数字工具的使用。

IF 2.2 4区医学

Cognitive Neuroscience Pub Date : 2025-11-18 DOI: 10.1080/17588928.2025.2585987

Solène Kalenine, Sarah E M Stoll, Jennifer Randerath

引用次数: 0

What is technology-specific in technological cognition? 什么是技术认知中的技术特异性？