Articles

Revisiting the Ground Magnetic Field Perturbations Challenge: A Machine Learning Perspective

in Space Physics

• Victor A. Pinto
• Amy M. Keesee
• Michael Coughlan
• Raman Mukundan
• Jeremiah W. Johnson
• Chigomezyo M. Ngwira
• Hyunju K. Connor

Statistical analysis of electric field perturbations in ELF based on the CSES observation data before the earthquake

in Environmental Informatics and Remote Sensing

• Fu-Zhi Zhang
• Jian-Ping Huang
• Zhong Li
• Xu-Hui Shen
• Wen-Jing Li
• Qiao Wang
• Zhima Zeren
• Jin-Lai Liu
• Zong-Yu Li
• Zhao-Yang Chen

Evaluating the geomagnetic response to the May 2024 super storm – observations and interpretations

in Space Physics

• Chigomezyo M. Ngwira
• Yukitoshi Nishimura
• James M. Weygand
• Lois J. Landwer
• Daniel C. Bush
• John C. Foster
• Philip J. Erickson

Localized geomagnetic disturbances: a statistical analysis of spatial scale

in Space Physics

• Raman Mukundan
• Amy M. Keesee
• José Paulo Marchezi
• Victor A. Pinto
• Michael Coughlan
• Donald Hampton

Impact of Foreshock Transients on the Flank Magnetopause and Magnetosphere and the Ionosphere

in Space Physics

• Chih-Ping Wang
• Xueyi Wang
• Terry Z. Liu
• Yu Lin

Mechanisms within the Parietal Cortex Correlate with the Benefits of Random Practice in Motor Adaptation

in Cognitive Neuroscience

• Benjamin Thürer
• Christian Stockinger
• Felix Putze
• Tanja Schultz
• Thorsten Stein

The predictive power of magnetospheric models for estimating ground magnetic field variation in the United Kingdom

in Space Physics

• Ewelina Florczak
• Ciarán D. Beggan
• Kathryn A. Whaler

Adaptation to sequence force perturbation during vertical and horizontal reaching movement—averaging the past or predicting the future?

• Firas Mawase
• Amir Karniel

Catch trials in force field learning influence adaptation and consolidation of human motor memory

in Motor Neuroscience

• Christian Stockinger
• Anne Focke
• Thorsten Stein