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  • 3.00 Credits

    This course briefly reviews the historical development of computational neuroscience and discusses the functional properties of individual neurons. The electro tonic structure of neurons, functional properties of synapses, and voltage-gated ion channels are discussed. 3. 000 Credit Hours 2. 000 Lecture hours 2. 000 Lab hours Levels: Graduate Doctoral, Graduate, Undergraduate Schedule Types: Lecture/Lab, Lab, Lecture College of Science & Letters College Biomedical Engineering Department
  • 2.00 Credits

    This quarter introduces mathematical ideas and techniques in a neuroscience context. Topics will include some coverage of matrices and complex variables; eigen value problems, spectral methods and Greens functions for differential equations; and some discussion of both deterministic and probabilistic modeling in the neurosciences. Instructor permission required. 2. 000 Credit Hours 2. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
  • 2.00 Credits

    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. Instructor permission required. 2. 000 Credit Hours 2. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
  • 2.00 Credits

    This quarter treats statistical methods important in understanding nervous system function. It includes basic concepts of mathematical probability; information theory, discrete Markov processes, and time series. Instructor permission required. 2. 000 Credit Hours 2. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
  • 3.00 Credits

    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, and algorithms derived from computer vision. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
  • 2.00 Credits

    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. Instructor permission required. 2. 000 Credit Hours 2. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
  • 2.00 Credits

    This quarter covers more advanced topics including perturbation and bifurcation methods for the study of dynamical systems; symmetry methods and some group theory. A variety of applications to neuroscience with be described. Instructor permission required. 2. 000 Credit Hours 2. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
  • 3.00 Credits

    This lab-centered course teaches students the fundamental principles of mammation neuroanatomy. Students learn the major structures and the basic circuitry of the CNS and PNS. Students become practiced at recognizing the nuclear organization and cellular architecture of many regions in animal brain models. This course is taught at the University of Chicago. Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
  • 3.00 Credits

    3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
  • 3.00 Credits

    Study of modern technology for medical imaging. Theory and operation of CAT, SPECT, PET, MRI, X-ray and echo imaging modalities. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
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