3 papers
cs.LG2025
Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
Behtom Adeli, John McLinden, Pankaj Pandey +2
Activation functions are critical to the performance of deep neural networks, particularly in domains such as functional near-infrared spectroscopy (fNIRS), where nonlinearity, low…
cs.LG2025
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
Behtom Adeli, John Mclinden, Pankaj Pandey +2
In recent years, deep learning (DL) approaches have demonstrated promising results in decoding hemodynamic responses captured by functional near-infrared spectroscopy (fNIRS), part…
cs.HC2025
Beyond Reconstruction: What EEG-to-Video Decoding Actually Recovers
Prajwal Singh, Anupam Sharma, Pankaj Pandey +2
Reconstructing dynamic visual stimuli from EEG recordings is challenging due to the noisy, non-stationary nature of EEG signals and the limited availability of EEG-video datasets.…