Courses
Neuroscience Theme
This three quarter sequence introduces the basic concepts that relate
the structure and function of the nervous system to behavior.
30000. Cellular Neurobiology (= NURB 30018)
Lloyd
This course is concerned with the structure and function of the nervous
system at the cellular level. The cellular and subcellular components
of neurons and their basic membrane and electrophysiological properties
are described. Cellular and molecular aspects of interactions between
neurons are studied. This leads to functional analyses of the mechanisms
involved in the generation and modulation of behavior in selected model
systems.
30100. Neuroethology
Margoliash
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.
30200. Cognitive Neuroscience
Staff
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.
Mathematics Theme
This three quarter sequence introduces mathematical and statistical ideas
and techniques used in the analysis of brain mechanisms.
32000. Mathematical and Statistical Methods for Neuroscience I
Cowan
This quarter introduces mathematical ideas and techniques in a neuroscience
context. Topics will include some coverage of matrices and complex variables;
eigenvalue problems, spectral methods and Greens functions for differential
equations; and some discussion of both deterministic and probabilistic
modeling
in the neurosciences.
32100. Mathematical and Statistical Methods for Neuroscience II
Amit
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.
32200. Mathematical and Statistical Methods for Neuroscience III
Cowan
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 will be described.
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.
33000. Computational Neuroscience I: Single Neuron Computation
Ulinski
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.
33100. Computational Neuroscience II: Vision
Ulinski and Staff
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.
33200. Computational Neuroscience III: Language
Regier and Staff
This course discusses computational approaches to human language. It examines
the learning, production, and comprehension of language, through neural
network modeling of human linguistic behavior, and through brain imaging.
Reading and Research Courses
39900. Readings in Computational Neuroscience
Staff
Reading courses on various topics in computational neuroscience.
40100. Research in Computational Neuroscience
Staff
Research credit (varied units) for research undertaken by graduate students
under the guidance of a faculty member of the Committee on Computational
Neuroscience.
Neural Engineering Courses Available through the Illinois Institute
of Technology
These courses are offered on a semester basis.
Neural Engineering I
Neural engineering II
Electronics for Neural Engineers
VLSI Technology for Neural Engineers
This list was last revised on 8/29/2003.
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