Gershgorin circle theorem-based feature extraction for biomedical signal analysis [0.03%]
基于格什戈尔圆定理的生物医学信号特征提取方法
Sahaj A Patel,Rachel June Smith,Abidin Yildirim
Sahaj A Patel
Recently, graph theory has become a promising tool for biomedical signal analysis, wherein the signals are transformed into a graph network and represented as either adjacency or Laplacian matrices. However, as the size of the time series i...
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis [0.03%]
EPAT：一种用户友好的脑电数据处理工具箱
Jianwei Shi,Xun Gong,Ziang Song et al.
Jianwei Shi et al.
Background: At the intersection of neural monitoring and decoding, event-related potential (ERP) based on electroencephalography (EEG) has opened a window into intrinsic brain function. The stability of ERP makes it frequ...
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight [0.03%]
一种优化框架：处理多中心多项式睡眠图数据，加入专家人工监督
Benedikt Holm,Gabriel Jouan,Emil Hardarson et al.
Benedikt Holm et al.
Introduction: Polysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning methodologies, researchers have ...
Brain MRI sequence and view plane identification using deep learning [0.03%]
基于深度学习的脑部磁共振序列及显示平面识别方法研究
Syed Saad Azhar Ali
Syed Saad Azhar Ali
Brain magnetic resonance imaging (MRI) scans are available in a wide variety of sequences, view planes, and magnet strengths. A necessary preprocessing step for any automated diagnosis is to identify the MRI sequence, view plane, and magnet...
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism [0.03%]
利用稳态机制构建具有独立刻痕的现实的、可扩展的记忆模型
Marvin Kaster,Fabian Czappa,Markus Butz-Ostendorf et al.
Marvin Kaster et al.
Memory formation is usually associated with Hebbian learning and synaptic plasticity, which changes the synaptic strengths but omits structural changes. A recent study suggests that structural plasticity can also lead to silent memory engra...
Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke [0.03%]
急性缺血性脑卒中后非对比CT复查图像中出血转化的自动分割
Jiacheng Sun,Freda Werdiger,Christopher Blair et al.
Jiacheng Sun et al.
Background: Hemorrhagic transformation (HT) following reperfusion therapies is a serious complication for patients with acute ischemic stroke. Segmentation and quantification of hemorrhage provides critical insights into ...
Erratum: NeuroDecodeR: a package for neural decoding in R [0.03%]
神经学解码器（NeuroDecodeR）：一个基于R的语言的神经解码软件包（更正）
Frontiers Production Office
Frontiers Production Office
[This corrects the article DOI: 10.3389/fninf.2023.1275903.]. Keywords: R; data analysis; data science; mach...
Published Erratum
Frontiers in neuroinformatics. 2024 Apr 16:18:1408064. DOI:10.3389/fninf.2024.1408064 2024
ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations [0.03%]
适用于生物医学大脑仿真的多FPGA库ExaFlexHH
Rene Miedema,Christos Strydis
Rene Miedema
Introduction: In-silico simulations are a powerful tool in modern neuroscience for enhancing our understanding of complex brain systems at various physiological levels. To model biologically realistic and detailed systems...
suMRak: a multi-tool solution for preclinical brain MRI data analysis [0.03%]
suMRak：一种预临床脑MRI数据的多工具解决方案
Rok Ister,Marko Sternak,Siniša Škokić et al.
Rok Ister et al.
Introduction: Magnetic resonance imaging (MRI) is invaluable for understanding brain disorders, but data complexity poses a challenge in experimental research. In this study, we introduce suMRak, a MATLAB application desi...
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury [0.03%]
创伤性脑损伤的湍流动力学和全脑建模：向临床应用的新方向发展
Noelia Martínez-Molina,Yonatan Sanz-Perl,Anira Escrichs et al.
Noelia Martínez-Molina et al.
Traumatic Brain Injury (TBI) is a prevalent disorder mostly characterized by persistent impairments in cognitive function that poses a substantial burden on caregivers and the healthcare system worldwide. Crucially, severity classification ...