Event Details:
Causality in neuroscience
Abstract
Causality dominates the space of ideas in neuroscience and is also key to medical applications. And yet, causality in high-dimensional systems is remarkably hard to measure. In my talk I will give an overview over causality within neuroscience, will provide some intuition about it, and warn of misleading causal interpretations. But I will also talk about emerging ways how we may get closer to a causal understanding of nervous systems.
Konrad Kording
University of Pennsylvania
Konrad Kording, PhD is a transdisciplinary professor at the University of Pennsylvania and co-founder of Neuromatch. He is co-director of the CIFAR Learning in Brains and Memories program. He is known for his contributions to the fields of neuroscience, data analysis as well as his advocacy and contribution to open science and scientific rigor. Dr. Kording’s research has one single focus: data that matters. Early research in the lab focused on computational neuroscience and movement. But as the approaches matured, the focus has been on discovering ways in which new data sources and emerging data analysis can enable awesome possibilities. The current focus is on causality in data science applications. How do we know how things work if we can not randomize? Our style of working is transdisciplinary, and we collaborate on virtually every project.
About the Wu Tsai Neuro MBCT Seminar Series The Stanford Center for Mind, Brain, Computation and Technology Seminars (MBCT) explores ways in which computational and technical approaches are being used to advance the frontiers of neuroscience. It features speakers from other institutions, Stanford faculty and senior training program trainees.
The MBCT Seminar Series is not offered via Zoom at this time. If given speaker permission, recordings will be available on our YouTube channel after the talk.