II - July 21–August 7, 2020
This course is designed for students interested in the science of the brain, including its evolutionary origins, early development, and role in generating behavior. We explore theories of the brain as the seat of the self from ancient Greece to modern times, and investigate systems that make up the brain from the individual neuron to the entire central nervous system. We also look into how sensation, perception, and decision making work at the physiological level. The course blends historical trends in neuroscience with modern experiments and findings, and touches on major areas of research including animal studies, recording and imaging techniques, computational neuroscience, and neuropharmacology.
In-class small-group exercises, in addition to lectures, allow students to tangibly explore the ideas presented in class. Participants construct various models of the brain, critique professional neuroscientific papers as “peer-reviewers,” and visualize actual neural data with instructor guidance.
Anamaria Alexandrescu received her B.S. in neuroscience summa cum laude from Florida Atlantic University. In her undergraduate career she was involved in research on the molecular mechanisms of strokes, as well as on the neurobiology of schizophrenia at the University of Pennsylvania. She holds an M.S. from New York University and is currently completing her Ph.D. in neuroscience and physiology at New York University School of Medicine. In her doctoral research Anamaria studies the neurobiology of learning and memory; in particular, she focuses on the molecular mechanisms that contribute to the synaptic plasticity underlying long-term memory formation. She has taught several undergraduate neuroscience courses at New York University and has extensive experience in teaching and mentoring middle school and high school students.
Stephen Keeley is a post-doctoral researcher in statistical neuroscience at Princeton University. He completed his Ph.D. at the Center for Neural Science at New York University under John Rinzel and Andre Fenton, where he developed firing rate models to study competitive gamma oscillations in CA1 and the roles interneuron subtypes play in impacting gamma dynamics. Stephen has extensive experience teaching and lecturing in neuroscience and applied mathematics. He has participated in a number of outreach programs in the New York City area and has taught at the high school and college level. His current research explores statistical models of calcium imaging data for the inference of neural receptive fields and latent network dynamics.
Luke Nunnelly is a student in Columbia's Neurobiology and Behavior doctoral program. He graduated from the University of Southern California with a bachelors degree in English and neuroscience. Luke's current research focuses on understanding the genetic roots of the the brain's diverse functions. His work in Edmund Au's lab at the Columbia University Medical Center looks to parse what genes distinguish one cell type from another with an eye to piecing together a complete portrait of the healthy brain and what makes it work.
Pam Osborn Popp is pursuing her Ph.D. at New York University’s Center for Neural Science. In her research, she combines functional neuroimaging with machine learning and computational modeling techniques so as to characterize human learning and memory. She is particularly interested in the possible applications of cognitive computational neuroscience research to the field of education. In addition to serving as a teaching assistant for undergraduate neuroscience courses at NYU, Pam enjoys teaching life science concepts as a docent at the Brooklyn Botanic Garden. She received her B.S. in neuroscience from NYU with a joint minor in computer science and mathematics.
Specific course detail such as hours and instructors are subject to change at the discretion of the University. Not all instructors listed for a course teach all sections of that course.