Bartlett and Coventry’s Groundbreaking Guide to Bayesian Inference Published in eNeuro
Congratulations to Ed Bartlett, associate dean of undergraduate affairs in the College of Science, professor of biological sciences and biomedical engineering, and Brandon Coventry, PhD, (BME ‘21) on their publication, which was designated as "notable" by eNeuro.
Their article, Practical Bayesian Inference in Neuroscience: Or How I Learned To Stop Worrying and Embrace the Distribution, addresses a significant challenge in neuroscience: the limitations of traditional hypothesis testing.
This comprehensive guide introduces Bayesian inference as a powerful, intuitive alternative, offering a toolkit for applying Bayesian methods to neuroscientific data. This work paves the way for more robust, interpretable findings in neuroscience research.
Learn more about Bartlett’s and Coventry’s work: Bartlett and Coventry's work on the improvement of deep brain stimulation was published in PNAS Nexus