Beyond what was said: Neural computations underlying pragmatic reasoning in referential communication by Shanshan Zhen, Mario Martinez-Saito, Rongjun Yu

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Incremental accumulation of linguistic context in artificial and biological neural networks by Refael Tikochinski, Ariel Goldstein, Yoav Meiri, Uri Hasson, Roi Reichart

“…Our findings reveal how the brain’s hierarchical temporal processing mechanisms enable the flexible integration of information over time, providing valuable insights for both cognitive neuroscience and AI development.…”
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Impaired Functional Connectivity in the Prefrontal Cortex: A Mechanism for Chronic Stress-Induced Neuropsychiatric Disorders by Ignacio Negrón-Oyarzo, Francisco Aboitiz, Pablo Fuentealba

“…In the present review, we integrate evidence obtained from cognitive neuroscience with neurophysiological research with animal models, to put forward a hypothesis that addresses stress-induced behavioral dysfunctions observed in stress-related neuropsychiatric disorders. …”
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Multidimensional dataset for cognitive assessment, sMRI, and rsfMRI in common benign epileptic children by Hongzhou Chen, Mengyuan Li, Tian Li, Mai Chen, Chao Jiang, Yudian Tang, Qian Chen, Dazhi Cheng

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Dynamic tracking of objects in the macaque dorsomedial frontal cortex by Rishi Rajalingham, Hansem Sohn, Mehrdad Jazayeri

“…Abstract A central tenet of cognitive neuroscience is that humans build an internal model of the external world and use mental simulation of the model to perform physical inferences. …”
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Psychological Factors Associated with Phantom Limb Pain: A Review of Recent Findings by Xaver Fuchs, Herta Flor, Robin Bekrater-Bodmann

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A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder by Shihao Pan, Tongyuan Shen, Yongxiang Lian, Li Shi

“…Background: The segmentation of electroencephalography (EEG) signals into a limited number of microstates is of significant importance in the field of cognitive neuroscience. Currently, the microstate analysis algorithm based on global field power has demonstrated its efficacy in clustering resting-state EEG. …”
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After a Hand Was Lent: Sporadically Experiencing Multisensory Interference During the Rubber Hand Illusion Does Not Shield Against Disembodiment by Julia Eck, David Dignath, Andreas Kalckert, Roland Pfister

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A multi-modal neuroimaging data release for Meige Syndrome and Facial Paralysis Research by Peng Gao, Jixin Luan, Aocai Yang, Manxi Xu, Kuan Lv, Pianpian Hu, Hongwei Yu, Zeshan Yao, Guolin Ma

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Task difficulty modulates the effect of eye contact on word memory in females by Xinghe Feng, Qiqi Hu, Chaoxiong Ye, Zhonghua Hu

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A generic self-learning emotional framework for machines by Alberto Hernández-Marcos, Eduardo Ros

“…However, researchers seeking to endow machines with this advantage lack a clear theory from cognitive neuroscience describing emotional elicitation from first principles, namely, from raw observations to specific affects. …”
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A Review of Brain–Computer Interface-Based Language Decoding: From Signal Interpretation to Intelligent Communication by Yingyi Qiu, Han Liu, Mengyuan Zhao

“…The proposed ICI architecture bridges the gap between cognitive neuroscience and computational methodologies, providing a unified perspective for understanding BCI evolution. …”
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Disentangling Tinnitus Distress and Tinnitus Presence by Means of EEG Power Analysis by Martin Meyer, Matthias S. Luethi, Patrick Neff, Nicolas Langer, Stefan Büchi

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Understanding gender differences in reasoning and specific paradigm using meta-analysis of neuroimaging by Lina Chen, Lina Chen, Zeqing Zheng, Jin Liang, Jin Liang, Yuerui Lin, Qingqing Miao

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Impairment in Theory of Mind in Parkinson’s Disease Is Explained by Deficits in Inhibition by Jennifer A. Foley, Claire Lancaster, Elena Poznyak, Olga Borejko, Elaine Niven, Thomas Foltynie, Sharon Abrahams, Lisa Cipolotti

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Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel by Christine Ahrends, Mark W Woolrich, Diego Vidaurre

“…Our approach leverages information about an individual’s time-varying amplitude and functional connectivity for prediction and has broad applications in cognitive neuroscience and personalised medicine.…”
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Wanting and liking of Facebook functions and their correlation to problematic use by Dorottya Lakatos, Balázs Kovács, István Czigler, Zsolt Demetrovics, Domonkos File

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Bridging gaps: the role of gender and team composition in collective intelligence within STEM education by Francisca Beroíza-Valenzuela, Natalia Salas-Guzmán, David Huepe

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Loudness dependence of the auditory evoked potential: temporal stability, associations to sociodemographic variables, and functional significance—implications for clinical research... by Stein Andersson, Stein Andersson, Trine Waage Rygvold, Christoffer Hatlestad-Hall

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Neuronauka poznawcza z punktu widzenia Mocnego Programu Socjologii Wiedzy Naukowej by Marek Więcław

“…This article aims to apply the main theses of the finitist account of knowledge of the Strong Programme of the Sociology of Scientific Knowledge (SPSSK) to cognitive neuroscience, understood as a methodologically advanced, transdisciplinary research enterprise belonging to the tradition of natural sciences. …”
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