Research

  • Multimodal Neuroimaging for the Exploration of Electro-Vascular Responses and Interactions in Auditory Processing.

  • fNIRSNET: A Multi-view Spatio-Temporal Convolutional Neural Network Fusion for fNIRS-based Auditory Event Classification.

  • Maximizing Neural Signal Decoding with Overparameterized Model Architectures.

  • Deep Fusion Neural Network as a Robust Intra-Subject BCI using Virtual Reality.

  • Exploring Auditory Processing using a Multiscale Stimulation-Recording Framework.

  • Multimodal Characterization of Brain Activity in Patients with Amyotrophic Lateral Sclerosis