Konrad Körding is Penn Integrates Knowledge (PIK) Professor of Neuroscience at the University of Pennsylvania and co-founder of Neuromatch and the Community for Rigor. He is known for his contributions to the fields of motor control, neural data methods and computational neuroscience, as well as his advocacy and contribution to open science and scientific rigor.
Körding’s research combines experimental methods with the application of computational principles. The main principle of his work is the idea of normative models and, in particular, Bayesian statistics. Some of his most controversial work focuses on predicting the future success of scientists, leading to a calculator predicting the h-index 10 years into the future. His experimental work addresses motor learning and motor control, relating these phenomena to Bayesian ideas. Most recently, he has focused on methods of analyzing neural data and obtaining large neural datasets. Körding is a frequent advocate of shifting research paradigms in neuroscience and has published and co-authored various letters, papers and talks on the applications of deep learning in neuroscience.
In 2023, Körding was one of several prominent scientists leading calls to reverse engineer an entire nervous system.
