By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Focuses on the development of 'eSee-Shells', chronic multimodal neural interface devices using transparent, inkjet-printed electrocorticography (ECoG) arrays.
Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Explores how slow cortical oscillations in the frontal cortex coordinate brain networks and impact memory processes, with a focus on cognitive control and healthy aging.
Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.
