Meta-Analysis of Face-Validity Indicators in Automatically Detected Dog Sleep Spindles [0.03%]
自动检测的狗睡眠纺锤波的面效度指标的元分析
Ivaylo Borislavov Iotchev,Anna Kis
Ivaylo Borislavov Iotchev
Visual inspection as the golden standard for sleep spindle detection has received mixed support and may not be equally viable across species and experimental conditions. Here we propose a novel intermediate strategy for approximating the qu...
Optimal Size of Electrocorticography Grids for Classification of Hand Movements [0.03%]
用于分类手部运动的脑电皮层网格记录电极阵列的最佳规模研究
Elena C Offenberg,Dirk Keller,Siamak Mehrkanoon et al.
Elena C Offenberg et al.
Implanted Brain-Computer Interfaces (BCIs) hold significant promise as a replacement for conventional assistive technologies for people with extensive motor impairments. In recent years, significant progress has been made in enhancing BCI p...
Mouse to Human Cross-Species Transfer Learning for Electrophysiology-to-Transcriptomics Mapping in Cortical GABAergic Interneurons [0.03%]
从鼠到人的跨物种迁移学习在皮层GABA能中间神经元的电生理-转录组映射中的应用
Theo Schwider,Ramin Ramezani
Theo Schwider
Single-cell electrophysiological recordings provide a powerful window into neuronal functional diversity and offer an interpretable route for linking intrinsic physiology to transcriptomic identity. Here, we adapt the IPFX/Gouwens electroph...
Optimizing Photogrammetry Parameters for 3D Reconstruction of Fresh Brain Specimens [0.03%]
优化鲜脑标本三维重建的摄影测量参数
Carlos A Rueda-Pérez,María-Camila Valencia-Loaiza,Paula Vega-Cordoba et al.
Carlos A Rueda-Pérez et al.
Photogrammetry has become an essential tool in medical and research fields for generating high-fidelity 3D models from 2D images. However, optimizing the imaging and processing parameters remains a challenge, particularly for fresh brain sp...
Temporal Topology Provides an Interpretable Framework for Neuronal Morphogenesis [0.03%]
时间拓扑为神经元形态发生提供了一个可解释的框架
Killian Rigaux,André Ferreira Castro,Lida Kanari
Killian Rigaux
Neuronal morphogenesis arises through coordinated neurite dynamics that generate cell-type specific dendritic branching during development. Recent advances in high-throughput time-lapse imaging techniques have transformed our ability to tra...
Graph-Based White Matter Tractometry: Methods, Applications, and the Path to Validation [0.03%]
基于图的神经纤维束测度：方法、应用及验证之路
Junhao Li,Chengzhe Zhang,Zhonghua Wan et al.
Junhao Li et al.
Graph-based white matter tractometry represents bundles as networks, preserving spatial topology that traditional along-tract profiles collapse. This enables the detection of distributed pathology patterns organized across connected regions...
SACS: A Reproducible, Configuration-Driven Software Framework for Schematic Multi-Region Circuit Simulation and Integrated Analytics [0.03%]
基于配置驱动的 schematics 多区域电路仿真及集成数据挖掘软件框架SACS
Eyasu Desalegne Beyene,Erkan Atmaca
Eyasu Desalegne Beyene
Computational neuroscience projects often combine simulation code, configuration files, analysis scripts, plotting utilities, and provenance records through loosely coupled and difficult-to-replay workflows. SACS is presented as a configura...
Analysis of a BMI System for the Assessment of Cognitive Motor Engagement for the Neurorehabilitation of Patients with Lower-Limb Impairment [0.03%]
用于神经康复的BMI系统评估认知运动参与能力的分析（下肢功能障碍患者）
Carlo Cavaliere-Ballesta,Mario Ortiz,Vicente Quiles et al.
Carlo Cavaliere-Ballesta et al.
Brain-Machine Interfaces (BMIs) hold significant promise for the neurorehabilitation of patients with lower-limb impairments. However, their widespread clinical adoption is hindered by high costs and system complexity. This study presents a...
NeuroFusion: A Unified Framework for Generalized Visual Stimulus Decoding from fMRI Across Datasets and Subjects [0.03%]
神经融合：一种跨数据集和受试者的通用视觉刺激解码统一框架
Muhammad Kashif,Matteo Ferrante,Nicola Toschi
Muhammad Kashif
Recent advancements in neural decoding have shown promising results in reconstructing visual experiences from brain activity. However, existing approaches focus primarily on decoding within a single dataset or subject, which limits generali...
Quantifying Structural Changes in Cultured Neurons Using Fractal Analysis [0.03%]
基于分形分析的神经元结构变化量化方法研究
Angela Asir Rv,Sirish Karri,Marina Kabirova et al.
Angela Asir Rv et al.
Quantitative analysis of neuronal morphology in dense cultures remains technically challenging, as extensive overlap between neuritic arbors and background signal limits the applicability of traditional tracing-based approaches. Here, we ap...