Incorporating a variety of synaptic dynamics in neuromorphic hardware: Different types of inhibition and plasticity [0.03%]
在神经形态硬件中结合多种突触动力学：不同类型抑制和可塑性
Archita Hore,Saswat Chakrabarti,Sharba Bandyopadhyay
Archita Hore
Objective: This study aims to design a
CMOS-based circuit that mimics the behavior of real
brain synapses, focusing on both plasticity and inhibi-
tion. The goal is to improve the biological realism and
le...
A comprehensive, physician-trained algorithm to remove artifactual false positive High Frequency Oscillations in long-term intracranial EEG [0.03%]
一种全面的、经过医师培训的算法，用于去除长期颅内EEG中的虚假高频振荡阳性Artifact
Shi Bei Tan,Stephen V Gliske,Neha Sara John et al.
Shi Bei Tan et al.
Objective: High frequency oscillations (HFOs) are a promising biomarker of epilepsy, but automated detectors have significant risk for false positives due to diverse EEG artifacts. Many of these artifacts, previously unch...
Exploration of using "distance-to-bound" to manipulate the difficulty during motor imagery BCI training after stroke - A clinical two-cases study [0.03%]
基于两个卒中病例的脑机接口运动想象训练难度探讨——距离至边界参数的影响作用探索性研究
Jonatan Tidare,Martin Johansson-Alvarez,Jeanette Plantin et al.
Jonatan Tidare et al.
Motor Imagery-based Brain-Computer Interfaces (MI-BCIs) is a promising technology for neurorehabilitation after stroke. However, many face challenges in using a BCI because they fail to produce discriminable patterns in their brain activity...
Temporal dynamics and heterogeneity of oligodendrocytes lineage responses to intracortical electrode implantation [0.03%]
皮质电极植入后少突胶质细胞谱系的时空动态和异质性响应
Hanjun Huang,Zhi Zhao,Xiaoge Duan et al.
Hanjun Huang et al.
Abstract： Objective. Implantable neural electrodes are essential tools for recording brain activity, yet their long-term performance is often compromised by neuroinflammatory responses following implantation. Although glial scar formation is...
Near-invisible c-VEP-based passive BCI for mental workload monitoring [0.03%]
一种用于监控精神工作负荷的近乎隐形的c-VEP based被动式BCI系统
Pietro Cimarosto,Sebastien Velut,Kalou Cabrera Castillos et al.
Pietro Cimarosto et al.
Flickering visual stimuli, either periodic (SSVEP) or aperiodic (c-VEP), have shown strong potential for implementing reactive Brain-Computer Interfaces (BCIs) and enabling hands-free interaction. Yet, their adaptation to passive BCIs remai...
CLAS-hdEEG: high-density EEG software platform for real-time delta wave detection and closed-loop auditory stimulation [0.03%]
CLAS-高密度EEG平台：实时检测δ波并进行闭环听觉刺激
Hanieh Bazregarzadeh,Clara Pic Roca,Antonio Martin et al.
Hanieh Bazregarzadeh et al.

Closed-loop auditory stimulation (CLAS) can enhance slow oscillations during non-rapid eye movement (NREM) sleep; however, its broader use has been limited by technical and temporal constraints. We introduce and validate CLAS-hdEEG, a ...
Interpretable EEG biomarkers for neurological disease models in mice using bag-of-waves classifiers [0.03%]
基于袋波分类器的用于小鼠神经疾病模型的可解释性EEG生物标志物
Maria Isabel Cano Achuri,Montana Kay Lara,Khalil Abed Rabbo et al.
Maria Isabel Cano Achuri et al.
Objective: Electroencephalograms (EEGs) are time-series records of the electrical potential from collective neural activity in the brain. EEG waveform patterns-rhythmic and irregular oscillations and transient patterns of...
Oligodendrocyte-specific Fus depletion preserves CA1 single-unit fidelity and stabilizes network dynamics during chronic recording [0.03%]
特异敲低少突胶质细胞FUS基因可维持慢性记录过程中CA1单神经元信号的保真度并稳定神经网络动态变化
Steven M Wellman,Kelly Guzman,Naofumi Suematsu et al.
Steven M Wellman et al.
Objective: Loss of oligodendrocytes (OLs) and myelin impairs neuronal firing and network stability, whereas enhancing oligodendrogenesis with clemastine improves electrophysiological stability in cortex and, to a lesser e...
Personalized transcranial electrical stimulation: A review of computational modeling and optimization [0.03%]
个性化经颅电刺激研究：计算模型与优化综述
Mo Wang,Kexin Zheng,Yingyue Xin et al.
Mo Wang et al.
Objective: Personalized transcranial electrical stimulation (tES) has gained growing attention due to the substantial inter-individual variability in brain anatomy and physiology. While previous reviews have discussed the...
Brain state dependent repetitive transcranial magnetic stimulation improves motor learning outcomes [0.03%]
基于脑状态依赖的重复经颅磁刺激可改善运动学习效果
Ian Daly,Roshan Withanage,Joao Oliveira et al.
Ian Daly et al.
Objective

Motor learning is key to successful neuro-rehabilitation. Combinations of Brain-Computer Interfaces (BCIs) and repetitive transcranial magnetic stimulation (rTMS) have been proposed for neurorehabilitation following condi...