Mikio Aoi

Mikio Aoi is an Assistant Professor in the Department of BIO at the University of California, San Diego. His research focuses on using statistical and machine learning methods to understand how populations of neurons coordinate their activity to perform computations. Specifically, his work explores the features of neural population activity important for understanding the dynamics of behavior. He approaches this problem through new data analysis tools and theoretical frameworks, collaborating closely with experimentalists and theorists. His research interests span computational neuroscience, machine learning, and statistics.

Mikio Aoi is a researcher in computational neuroscience, machine learning, and statistics, focusing on understanding neural computations and their statistical underpinnings. His work explores how neural populations encode information during decision-making, flexible behaviors, and cognitive processes. Aoi's research integrates advanced statistical models, Bayesian methods, and machine learning to analyze complex neural data, including spike trains and functional MRI. His studies emphasize the dynamic interactions within neural systems and how they relate to behavioral variability. By combining computational models with empirical data, Aoi contributes to understanding the mechanisms underlying cognitive flexibility and neural signal processing.