Neuroscience data to understand human behaviour
- Submission status
- Open
- Submission deadline
The coupling of neuroscience techniques with experiments assessing psychology, cognitive ability, and social and demographic factors have been instrumental in advancing our understanding of human behaviour. This Collection presents descriptions of datasets combining brain imaging or neurophysiological data performed alongside real-world tasks or exposure to different stimuli. It will cover single- or multi-modal studies from humans or animal models.
Editors
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Robert C. A. Bendall, PhD
University of Salford, UK
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Franco Pestilli, PhD
The University of Texas at Austin, USA
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Zonglei Zhen, PhD
Beijing Normal University, China
Robert C. A. Bendall, PhD, MPhil, MA (Hons), University of Salford, UK
Robert Bendall is a Lecturer at the School of Health & Society, University of Salford, UK. Adopting a range of methodological approaches including behavioural experiments, neuroimaging, and psychometric questionnaires, he conducts research investigating affective and emotional processes with research interests including emotion regulation, visual attention, sleep, and mental health.
Franco Pestilli, PhD, The University of Texas at Austin, USA
Franco Pestilli is an Associate Professor in the Departments of Psychology and Neuroscience at the University of Texas, Austin. His research delves into brain networks and white matter, spanning cognitive neuroscience, Traumatic brain Injury, vision science, and neuroinformatics. With a focus on scientific rigor and data science, he pioneers innovative approaches, including the use of technology such as cloud platforms and more recently AI, to unravel the complexities of the brain.
Zonglei Zhen, PhD, Beijing Normal University, China
Zonglei Zhen is a Professor in the Faculty of Psychology at Beijing Normal University. His research focus lies in using multimodal neuroimaging to elucidate the brain's organization across various dimensions including gene expression, structure, function, and connectivity. He is particularly interested in understanding how the brain organization changes throughout lifespan development.
