Neuroscience at The University of Chicago

The Graduate Program in Computational Neuroscience

Neuroscience Theme

This three quarter sequence introduces the basic concepts that relate the structure and function of the nervous system to behavior. Students typically take the first course in the sequence in their first year in the program and the second two courses in their second year.


CPNS 30107: Behavioral Neurosciences

Instructor: Daniel Margoliash

Schedule

This course is concerned with the structure and function of systems of neurons, and how these are related to behavior. Common patterns of organization are described from the anatomical, physiological, and behavioral perspectives of analysis. The comparative approach is emphasized throughout. Laboratories include exposure to instrumentation and electronics, and involve work with live animals. A central goal of the laboratory is to expose students to in vivo extracellular electrophysiology in vertebrate preparations. Laboratories will be attended only on one day a week but may run well beyond the canonical period.


CPNS 30116: Vertebrate Neural Systems (also NURB 31600)

Instructor: Peggy Mason, Clifton Ragsdale

Schedule

This lab-centered course teaches students the fundamental principles of vertebrate nervous system organization. Students learn the major structures and the basic circuitry of the brain, spinal cord and peripheral nervous system. Somatic, visual, auditory, vestibular and olfactory sensory systems are presented in particular depth. A highlight of this course is that students become practiced at recognizing the nuclear organization and cellular architecture of many regions of brain in rodents, cats and primates.

Mathematics Theme

This three quarter sequence introduces mathematical and statistical ideas and techniques used in the analysis of brain mechanisms. Students entering these courses should have some background in linear algebra and ordinary differential equations. Students with this background can take the first two courses in the sequence in their first year in the program. They can take the third, elective course, in either their first or second years.


CPNS 32000: Mathematical and Statistical Methods for Neuroscience I

Instructor: Wim van Drongelen

Schedule

This course deals with application of linear systems theory and signal processing to issues in neuroscience. It emphasizes data analysis using the Matlab software package.


CPNS 32100: Mathematical and Statistical Methods for Neuroscience II

Instructor: Wim van Drongelen

Schedule

This course deals with the application of non-linear methods in signal processing and dynamical systems theory to issues in neuroscience. Data analysis with Matlab is again emphasized.

Computational Neuroscience Theme

This three quarter sequence brings together the concepts from the neuroscience theme with the quantitative methods from the mathematical theme to discuss current issues in computational neuroscience. Students entering these courses should have completed a one year sequence in calculus. Students take these courses in their first year in the program.


CPNS 33000: Computational Neuroscience I: Single Neuron Computation

Instructor: Staff

Schedule

This course briefly reviews the historical development of computational neuroscience and discusses the functional properties of individual neurons. The electrotonic structure of neurons, functional properties of synapses, and voltage gated ion channels are discussed.


CPNS 33100: Computational Neuroscience II: Vision

Instructor: Staff

Schedule

This course considers computational approaches to vision. It discusses the basic anatomy and physiology of the retina and central visual pathways, and then examines computational approaches to vision based on linear and non linear systems theory.


CPNS 33200: Computational Neuroscience III: Cognitive Neuroscience

Instructor: Nicholas Hatsopoulos

Schedule

This course is concerned with the relationship of the nervous system to higher order behaviors such as perception and encoding, action, attention and learning and memory. Modern methods of imaging neural activity are introduced, and information theoretic methods for studying neural coding in individual neurons and populations of neurons are discussed.

Elective Courses


CPNS 31000: Mathematical Methods for the Biological Sciences I (also BIOS 26210)

Instructor: Dmitry Kondrashov

Schedule


CPNS 31100: Mathematical Methods for the Biolgoical Sciences II (also BIOS 26211)

Instructor: Dmitry Kondrashov

Schedule


CPNS 31200: Mathematical Methods for the Biological Sciences III (also BIOS 26212)

Schedule


CPNS 32607: Advanced Topics in Theoretical Neuroscience

Instructor: Jack Cowan

Schedule


CPNS 34600: Neurobiology of Disease I

Instructor: Christopher Gomezand Staff

Schedule


CPNS 34700: Neurobiology of Disease II

Instructor: Christopher Gomezand Staff

Schedule

Neural Engineering Courses

These courses are offered on a semester basis through the Illinois Institute of Technology.


CPNS 35106: Neuromechanics of Human Movement

Schedule


CPNS 35204: Neuroprosthetics

Schedule


CPNS 35305: Electronics

Schedule

Reading and Research Courses


CPNS 39900: Readings in Computational Neuroscience

Instructor: Staff

Schedule

Reading courses on various topics in computational neuroscience.


CPNS 40100: Research in Computational Neuroscience

Instructor: Staff

Schedule

Research credit (varied units) for research undertaken by graduate students under the guidance of a faculty member of the Committee on Computational Neuroscience.