Tuesday, February 21, 2017 - 4:15pm
60 College Street
Statistical methods for some problems in neuroscience
Daniela Witten, Ph.D.
Department of Statistics and Biostatistics
University of Washington
In this talk, I will give an overview of some of our ongoing work on the development of statistical machine learning methods for some problems in neuroscience. New technologies in neuroscience make it possible to concurrently image the activities of huge numbers of neurons in behaving animals. Furthermore, large-scale data sets resulting from these technologies have recently been publicly released. I will discuss three statistical tasks associated with these data: (i) the identification of neurons on the basis of very large imaging videos; (ii) the inference of the time stamps at which each neuron spikes; and (iii) the construction of a graphical model based on the resulting set of inferred spike trains.
4:15 p.m. Tuesday, February 21, 2017
LEPH 115, 60 College Street