Editorial: 15 years of frontiers in human neuroscience: new insights in cognitive neuroscience

In recent years, scientists have developed novel techniques and accomplished remarkable achievements, resulting in substantial advancements within the rapidly expanding field of Human Neuroscience. In this context, engineering methodologies applied to cognitive neuroscience have consistently played a crucial role and have garnered widespread attention from researchers worldwide. A collection centered on new perspectives in cognitive neuroscience offers an in-depth exploration of the latest advancements and developments in the field. It that allows researchers to share their findings and ideas, fostering collaboration and knowledge exchange. Such a collection enables a detailed assessment of the field's current status while providing a valuable resource for the scientific community and beyond. Furthermore, it plays a crucial role in raising awareness about the importance of advancing cognitive neuroscience, promoting further research, and ultimately contributing to more precise diagnoses and effective treatments for individuals facing challenges in this area. This Research Topic aims to explore new insights, novel developments, current challenges, recent discoveries, latest advancements, and future directions in the field of cognitive neuroscience. It invited concise and forward-thinking contributions from researchers, highlighting the state of the art in the field.These contributions outline significant recent achievements, as well as the critical steps needed to drive the field forward. Authors were encouraged to pinpoint the most pressing challenges within specific subfields and propose innovative strategies in cognitive neuroscience to overcome these challenges.While the articles included in this Research Topic do not primarily focus on reviewing the progress made over the past decade, they highlight recent advances, novel developments, current challenges, and emerging perspectives in cognitive neuroscience. This article collection will inspire, inform, and provide direction and guidance to researchers in the field. We aim to improve the understanding of the relation between cognitive processes and resting state networks, the dynamics of cognitive processes, and applications of machine learning methodologies on biomedical signals and images, and the relationship between findings.Methods and applications in cognitive neuroscience using biomedical signal/image processing aim to highlight the latest experimental techniques and methods for investigating the fundamental questions regarding the mental processes involved in cognition.This research topic includes four original research articles and two review articles. The accepted papers cover new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of cognitive neuroscience.Both adults and children learn through feedback to associate environmental events and choices with reward, a process known as reinforcement learning (RL). However, tasks to assess RL-related neurocognitive processes in children have been limited. The paper entitled "Electrical brain activations in preadolescents during a probabilistic reward-learning task reflect cognitive processes and behavior strategies" by Chung