Prof Dr. J. Satpathy — Hon. Director
jyotipim@pim.ac.inEmpirical instrumentation, psychophysiological diagnostics, and computational machine learning architectures powering neuro-managerial science.
EEG provides millisecond-level temporal resolution of brain cortical activity. PIM-BRAIN utilizes multi-channel EEG systems to measure event-related potentials (ERPs) during strategic choices, spectral power changes (Alpha, Beta, Theta, Gamma bands), and cognitive workload shifts in managerial simulations.
"Eyes are the window to the soul, and the gateway to how people gather information." Measuring point-of-gaze, fixation sequences, and pupil dilation reveals what captures executive attention, how information is processed under time constraints, and the subconscious drivers of consumer preferences.
Skin conductance measures sympathetic autonomic nervous system arousal. When decision-makers encounter risk, loss threats, or high-stakes bargaining friction, micro-changes in sweat gland activity reflect implicit emotional valuation prior to conscious articulation.
Sequential processing converting raw neural signals into strategic predictions.
EEG & biometric signals
Noise reduction & filtration
Neural feature extraction
Choice classification
Strategy recommendations
By feeding high-density neural signals into machine learning architectures, PIM-BRAIN models how cognitive biases, emotional stress, and heuristic shortcuts manifest prior to observable decision execution.