Editorial: Neuromorphic and deep learning paradigms for neural data interpretation and computational neuroscience [0.03%]
编辑来稿：神经数据解析与计算神经科学中的仿生模型和深度学习范式
Chenglong Zou,Rui Yuan,Jun Wen
Chenglong Zou
Ki Yun Lee,M Taher A Saif
Ki Yun Lee
Mechanical forces have recently emerged as critical modulators of neural communication, yet their role in high-level cognitive functions remains poorly understood. Here, we present a biologically inspired spiking neural network model that i...
Shifts in brain dynamics and drivers of consciousness state transitions [0.03%]
大脑动力学的转变及意识状态转换的影响因素
Joseph Bodenheimer,Paul Bogdan,Sérgio Pequito et al.
Joseph Bodenheimer et al.
Understanding the neural mechanisms underlying the transitions between different states of consciousness is a fundamental challenge in neuroscience. Thus, we investigate the underlying drivers of changes during the resting-state dynamics of...
Synergy mediates long-range correlations in the visual cortex near criticality [0.03%]
协同作用在视觉皮层临界状态附近介导长程相关性
Hardik Rajpal,Cedric Stefens,Meghdad Saeedian et al.
Hardik Rajpal et al.
Long-range correlations are a key signature of systems operating near criticality, indicating spatially-extended interactions across large distances. These extended dependencies underlie other emergent properties of critical dynamics, such ...
Relative timing and coupling of neural population bursts in large-scale recordings from multiple neuron populations [0.03%]
大规模记录多个神经元群体的神经群体爆发的相对时间和耦合现象
Motolani Olarinre,Joshua H Siegle,Robert E Kass
Motolani Olarinre
Introduction: The onset of a sensory stimulus elicits transient bursts of activity in neural populations, which are presumed to convey information about the stimulus to downstream populations. Although the timing at which...
Explainable AI uncovers novel EEG microstate candidate neurophysiological markers for autism spectrum disorder [0.03%]
可解释的人工智能发现了自闭症候选神经生理标记物
Delna Kuriyakose,Gowsalya M
Delna Kuriyakose
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by atypical brain connectivity and impaired cognitive flexibility. Electroencephalography (EEG) based microstate analysis ...
Metaheuristic-driven dual-layer model for classifying Alzheimer's disease stages [0.03%]
一种元启发式驱动的双层模型用于分类阿尔茨海默病阶段
Luka Anicin,Svetlana Andjelic,Marija Markovic Blagojevic et al.
Luka Anicin et al.
Introduction: Accurate determination of the progression phase of Alzheimer's disease (AD) is crucial for timely clinical decision-making, improved patient management, and personalized therapeutic interventions. However, r...
Cross-population amplitude coupling in high-dimensional oscillatory neural time series [0.03%]
高维振荡神经时间序列的跨群体幅度耦合
Heejong Bong,Valérie Ventura,Eric A Yttri et al.
Heejong Bong et al.
Neural oscillations have long been considered important markers of interaction across brain regions, yet identifying coordinated oscillatory activity from high-dimensional multiple-electrode recordings remains challenging. We sought to quan...
EPIC-NET: EEG-based epilepsy classification and brain localization using Optuna wave-gated recurrent unit network [0.03%]
基于EEG的癫痫分类和脑局部化利用Optuna波门控循环单元网络
R Manjupriya,A Anny Leema
R Manjupriya
Introduction: Epilepsy is a chronic neurological disorder characterized by abnormal brain activity, often diagnosed through visual analysis of electroencephalography (EEG) signals. However, the existing works focused only...