STATISTICS COLLOQUIUM
Robert E. Kass
Maurice Falk Professor of Statistics and Computational Neuroscience
Department of Statistics and Machine Learning Department
Interim Co-Director, Center for the Neural Basis of Cognition
Carnegie Mellon University
Statistical Thinking in Neuroscience
ABSTRACT
Experimenters are typically adept at applying standard statistical techniques, while computational neuroscientists are capable of formulating mathematically sophisticated data analytic methods to attack novel problems in data analysis. Yet, in many situations, statisticians proceed differently than those without formal training in statistics. What is different about the way statisticians approach problems? I will give you my thoughts on this subject, and will illustrate with examples, including the problem of neural synchrony detection across a network of interacting spiking neurons. I will conclude with some related comments on scientific reproducibility, illustrating them with an experiment in which brain signals were used to run a
robotic device.
DATE: Wednesday, September 21, 2016
TIME: 4:00 pm – 5:00 pm
PLACE: Philip E. Austin Bldg., Rm. 105
Coffee will be served at 3:30 in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu