日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

No Unique Magnocellular Facilitation in Parafoveal Processing: A Combined EEG and Eye Tracking Study

旁中心凹处理中不存在独特的巨细胞促进作用:一项结合脑电图和眼动追踪的研究

Huang, Xin; Wong, Brian W L; Sommer, Werner; Dimigen, Olaf; Maurer, Urs

How the Dominant Reading Direction Changes Parafoveal Processing: A Combined EEG/Eye-Tracking Study

主导阅读方向如何影响旁中心凹处理:一项结合脑电图和眼动追踪的研究

Huang, Xin; Ng, Hezul Tin-Yan; Lin, Chien Ho; Yan, Ming; Dimigen, Olaf; Sommer, Werner; Maurer, Urs

Distinctive pupil and microsaccade-rate signatures in self-recognition

自我识别中独特的瞳孔和微扫视率特征

Schwetlick, Lisa; Graupner, Hendrik; Dimigen, Olaf; Engbert, Ralf

(Micro)saccade-related potentials during face recognition: A study combining EEG, eye-tracking, and deconvolution modeling

面部识别过程中(微)扫视相关电位:一项结合脑电图、眼动追踪和反卷积建模的研究

Spiering, Lisa; Dimigen, Olaf

Neural mechanism underlying preview effects and masked priming effects in visual word processing

视觉词汇处理中预览效应和掩蔽启动效应的神经机制

Huang, Xin; Wong, Brian W L; Ng, Hezul Tin-Yan; Sommer, Werner; Dimigen, Olaf; Maurer, Urs

Use of reporting templates for chest radiographs in a coronavirus disease 2019 context: measuring concordance of radiologists with three international templates

在2019冠状病毒病疫情背景下使用胸部X光片报告模板:放射科医生与三种国际模板的一致性测量

Lewis, Sarah J; Wells, Jayden B; Reed, Warren M; Mello-Thoms, Claudia; O'Reilly, Peter A; Dimigen, Marion

Regression-based analysis of combined EEG and eye-tracking data: Theory and applications

基于回归的脑电图和眼动追踪联合数据分析:理论与应用

Dimigen, Olaf; Ehinger, Benedikt V

Unfold: an integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis

Unfold:一个用于重叠校正、非线性建模和基于回归的脑电图分析的集成工具箱

Ehinger, Benedikt V; Dimigen, Olaf

Are individual differences in reading speed related to extrafoveal visual acuity and crowding?

个体阅读速度的差异是否与中心凹外视觉敏锐度和拥挤效应有关?

Frömer, Romy; Dimigen, Olaf; Niefind, Florian; Krause, Niels; Kliegl, Reinhold; Sommer, Werner

Order Patterns Networks (ORPAN)-a method to estimate time-evolving functional connectivity from multivariate time series

顺序模式网络(ORPAN)——一种从多元时间序列中估计随时间演变的功能连接的方法

Schinkel, Stefan; Zamora-López, Gorka; Dimigen, Olaf; Sommer, Werner; Kurths, Jürgen