1 citations · 1 across the 4 of their papers we have counts for
4 papers
Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods
Akash K Rao, Vishnu K Menon, Arnav Bhavsar +3
Attention is the brain's mechanism for selectively processing specific stimuli while filtering out irrelevant information. Characterizing changes in attention following long-term i…
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods
Akash K Rao, Shashank Uttrani, Vishnu K Menon +4
Predicting and understanding the changes in cognitive performance, especially after a longitudinal intervention, is a fundamental goal in neuroscience. Longitudinal brain stimulati…
Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles
Akash K Rao, Gunjan Y Trivedi, Riri G Trivedi +7
Among young adults, suicide is India's leading cause of death, accounting for an alarming national suicide rate of around 16%. In recent years, machine learning algorithms have eme…
Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods
Akash K Rao, Vishnu K Menon, Shashank Uttrani +3
Executive functioning is a cognitive process that enables humans to plan, organize, and regulate their behavior in a goal-directed manner. Understanding and classifying the changes…