Reverse Engineering the Brain’s Perceptual Inference & Decision-Making using Artificial Intelligence
Listen now
Description
Dr. Tolias will discuss his journey into artificial intelligence research and how he and his lab are developing cutting-edge algorithms from discoveries in neuroscience to better understand the brain’s perceptual inference and decision making, along with the many challenges. Dr. Tolias and his lab have one goal: to harness the algorithmic power of the visual system to generate the most cutting-edge algorithms to better analyze data and gain deeper insights into the mysterious and mathematical complexities of the most evolutionarily advanced sensory organ.
More Episodes
Tune in to the latest episode of Resonance Podcast! Discover the untold healthcare challenges faced by incarcerated populations in conversation with McKenna and Justin from Baylor's Justice-Involved HEAL Initiative. Dr. Marc Robinson sheds light on the complexities of health care delivery in...
Published 08/14/23
In this episode, we speak with Dr. Laura Detti, the director of the Reproductive Endocrinology and Infertility (REI) department at Baylor College of Medicine. We discuss two of her major research projects: ultrasound measurements in detecting early pregnancy loss and using recombinant AMH for...
Published 03/31/23