Dr. Arno Onken

Biography

Arno Onken is a Lecturer at the University of Edinburgh specializing in machine learning applications in the life sciences. His research focuses on developing flexible probabilistic machine learning methods to model and analyze neural activity. He has applied deep learning techniques to predict brain activity, including the creation of the Vision Transformer model used for predicting responses in the primary visual cortex based on visual stimuli and behavior. He also explores probabilistic models of neural relationships using advanced statistical techniques such as copulas and Gaussian processes. His work has contributed to the field through publications that investigate multidimensional neuronal relationships and neural activity correlations with external variables. With a strong emphasis on dimensionality reduction, he employs matrix tensor factorizations to extract interpretable structures from large datasets involving neural data. His publications include significant contributions to notable journals in computational biology and neuroscience, addressing contemporary challenges in understanding the complex dynamics of neural networks.

Research Interests

Experience