Editorial: Advancements in neural coding: sensory perception and multiplexed encoding strategies [0.03%]
编者按：神经编码进展：感觉知觉与多路复用编码策略
Mohammad Amin Kamaleddin
Mohammad Amin Kamaleddin
Replication challenges in linking personality to resting-state functional connectomics [0.03%]
人格与静息态功能连接组学关联研究的重复性问题挑战
Nikola Jajcay,David Tomeček,Iveta Fajnerová et al.
Nikola Jajcay et al.
An increasing number of studies are currently focusing on "personality neuroscience," a term denoting the research aimed at neuroimaging correlates of inter-individual temperament and character variability. Among other methods, a graph theo...
NeuralVisionNet: a probabilistic neural process model for continuous visual anticipation [0.03%]
神经视觉网络：连续视觉预期的概率神经过程模型
Han He,Ruinan Chen,Yixiang Wang et al.
Han He et al.
The ability to anticipate future events continuously is a hallmark of biological vision, yet standard deep learning models often struggle with long-term coherence due to the rigid discretization of time. In this paper, we propose NeuralVisi...
Designing implicit population learners: a permutation-equivariant state space approach for brain disease diagnosis [0.03%]
隐式群体学习器的设计：一种排列等变状态空间方法在脑疾病诊断中的应用
Chuan Yang
Chuan Yang
Introduction: Group-aware learning has recently emerged as a promising paradigm for neuroimaging-based disease diagnosis, as population-level interactions can provide complementary information beyond individual imaging fe...
Editorial: Passive brain-computer interfaces: moving from lab to real-world application [0.03%]
主编来函：被动式脑机接口：从实验室走向实际应用
Vincenzo Ronca,Luca Longo,Rossella Capotorto et al.
Vincenzo Ronca et al.
The two dragons of cognition: recursive condensation for predictive processing [0.03%]
认知的两大支柱：预测处理中的递归浓缩理论
Xin Li
Xin Li
Computation separates time from space: nondeterministic problems are exponential in time (the "Time Dragon") but polynomially simulable in space (the "Space Dragon"), as formalized by Savitch's theorem (NPSPACE⊆PSPACE). We propose that the...
Pre-movement EEG microstates reflect intended lifted load of volitional movement [0.03%]
运动前的脑电微状态反映自愿运动意图举起的负荷大小
Rohit Kumar Yadav,Sutirtha Ghosh,Lalan Kumar et al.
Rohit Kumar Yadav et al.
Introduction: Load estimation is one of the essential parameters for assistive robotic control in cases of rehabilitation. The high temporal resolution of the Electroencephalography (EEG) technique makes it the best tool ...
Gerald K Cooray
Gerald K Cooray
Cortical activity recorded through EEG and MEG reflects complex dynamics that span multiple temporal and spatial scales. Spectral analyses of these signals consistently reveal power-law behavior, a hallmark of turbulent systems. In this pap...
SBR-YOLO: context-position attention and adaptive feature fusion for student behavior recognition [0.03%]
基于上下文位置注意和自适应特征融合的学生行为识别方法
Yunming Zhang
Yunming Zhang
Introduction: In classroom scenarios, student behaviors exhibit high intra-class variance and subtle inter-class differences, while complex backgrounds and severe occlusions pose significant challenges for accurate behavi...
Deep learning based approach for Behavior classification in diagnoses of Autism Spectrum Disorder using naturalistic videos [0.03%]
基于深度学习的自闭症谱系障碍自然行为分类诊断方法研究
Usama Jabbar,Muhammad Waseem Iqbal,Alexandru Nechifor et al.
Usama Jabbar et al.
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is marked by a lack of communication skills in social situations and repetitive and stereotypical Behaviors. The most widespread form of diagnosing ASD among children is b...