Multiscale intracranial EEG dynamics across sleep-wake states: toward memory-related processing [0.03%]
跨越睡眠-觉醒状态的多尺度脑内电图动态变化：面向记忆相关处理
Juan M Tenti,Monserrat Pallares Di Nunzio,Marisa A Bab et al.
Juan M Tenti et al.
Sleep is known to support memory consolidation through a complex interplay of neural dynamics across multiple timescales. Using intracranial EEG (iEEG) recordings from patients undergoing clinical monitoring, we characterize spectral activi...
Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations [0.03%]
重复刺激呈现下循环神经网络中记忆表征的突变式重组现象
Jonathon R Howlett
Jonathon R Howlett
While acquisition curves in human learning averaged at the group level display smooth, gradual changes in performance, individual learning curves across cognitive domains reveal sudden, discontinuous jumps in performance. Similar thresholdi...
An AI methodology to reduce training intensity, error rates, and size of neural networks [0.03%]
一种减少神经网络训练强度、错误率和规模的AI方法学
Thaddeus J A Kobylarz
Thaddeus J A Kobylarz
Massive computing systems are required to train neural networks. The prodigious amount of consumed energy makes the creation of AI applications significant polluters. Despite the enormous training effort, neural network error rates limit it...
Haoming Yang,Pramod Kc,Panyu Chen et al.
Haoming Yang et al.
Neuronal synchronization refers to the temporal coordination of activity across populations of neurons, a process that underlies coherent information processing, supports the encoding of diverse sensory stimuli, and facilitates adaptive beh...
Using noise to distinguish between system and observer effects in multimodal neuroimaging [0.03%]
利用噪声区分多模态神经影像中的系统效应和观察者效应
Erik D Fagerholm,Hirokazu Tanaka,Gregory Scott et al.
Erik D Fagerholm et al.
Introduction: It has become increasingly common to record brain activity simultaneously at more than one spatiotemporal scale. Here, we address a central question raised by such cross-scale datasets: do they reflect the s...
Modeling cognition through adaptive neural synchronization: a multimodal framework using EEG, fMRI, and reinforcement learning [0.03%]
通过自适应神经同步建模认知：一种使用EEG、fMRI和增强学习的多模态框架
Rashad Hall,Maury Jackson,Maryam Maleki et al.
Rashad Hall et al.
Introduction: Understanding the cognitive process of thinking as a neural phenomenon remains a central challenge in neuroscience and computational modeling. This study addresses this challenge by presenting a biologically...
Advancing epileptic seizure recognition through bidirectional LSTM networks [0.03%]
基于双向长短时记忆神经网络的癫痫发作识别方法研究
Sanaa Al-Marzouki
Sanaa Al-Marzouki
Seizure detection in a timely and accurate manner remains a primary challenge in clinical neurology, affecting diagnosis planning and patient management. Most of the traditional methods rely on feature extraction and traditional machine lea...
CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson's disease screening [0.03%]
基于步态的帕金森病筛查的CRISP：一种相关性过滤递归特征消除和SMOTE集成管道方法
Namra Afzal,Javaid Iqbal,Asim Waris et al.
Namra Afzal et al.
Introduction: Parkinson's disease (PD) is the fastest-growing neurodegenerative disorder, with subtle gait changes such as reduced vertical ground-reaction forces (VGRF) often preceding motor symptoms. These gait abnormal...
Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions [0.03%]
关于自主行为多维特征预测误差计算的电路模型研究
Yishuang Huang,Yiling Li
Yishuang Huang
Introduction: Predictive processing posits that the brain minimizes discrepancies between internal predictions and sensory inputs, offering a unifying account of perception, cognition, and action. In voluntary actions, it...
Effects of AC induced electric fields on neuronal firing sensitivity and activity patterns [0.03%]
交流电引起的电场对神经元放电敏感性和活动模式的影响
Chunhua Yuan,Rupei Chen,Xiangyu Li et al.
Chunhua Yuan et al.
Introduction: Understanding how neurons respond to time-varying electric fields is essential for both basic neuroscience and the development of neuromodulation strategies. However, the mechanisms by which alternating-curr...