EEG’s sensitivity to depression-related brain behavior. The team’s method, the Inner Composition Alignment algorithm, results ...

Subcortical structures have traditionally received less attention than cortical regions in the study of neuropsychiatric disorders, but growing evidence ...

Chen, J. Y., Xu, Z. and Zhang, T. (2025) A Study of Chinese Language Morphemes in the Perspective of Second Language Acquisition (1998-2024) —Based on Bibliometric Analysis. Open Journal of Social ...

Abstract: The pathophysiological interpretation of EEG signals recorded with depth electrodes [i.e ... of neuronal circuits that generate these events. We developed a neural network model based on ...

Humans and mice share persistent brain-activity patterns in response to adverse sensory experience, scientists find, opening a window to our emotions and, perhaps, neuropsychiatric disorders.

Seven outstanding students from Central Texas just returned from the 75th Annual Regeneron International Science and ...

Elite athletic performance has increasingly become a focal point of study in cognitive neuroscience, highlighting the impact of brain processes on sporting ...

Here, we go one step further and apply raw EEG signals to a proposed hybrid convolutional and temporal-convolutional neural network (CNN-TCN) to continuously estimate the BDI score. In this research, ...

Image above: APS Editorial Fellows, clockwise from top left: Pankhuri Aggarwal, Sarah Brislin, Darwin Guevarra, Karoline Huth ...

His NIH and NSF-funded research focuses on electrophysiology, imaging, mathematical modeling, and the development of improved therapies for the treatment of paralysis, pain, and movement disorders ...

who is best known for his work on the neural basis of consciousness. A long-time proponent of IIT, Koch coauthored the new study. Koch and the rest of the team made three predictions to test the ...