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Courses
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.
30000. Cellular Neurobiology (= NURB 31800)
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.
30116. Vertebrate Neural
Systems (=NURB 31600)
Ragsdale and Mason
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.
30100. Behavioral Neurosciences
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.
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.
32000. Mathematical and Statistical Methods for Neuroscience I
van Drongelen
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.
32100. Mathematical and Statistical Methods for Neuroscience II
van Drongelen
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.
The third
course in this sequence is an elective course in one of
the quantitative sciences relevant to neuroscience that can be selected
by the
student in consultation with the program chair.
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.
33000. Computational Neuroscience I: Single Neuron Computation
Ulinski and Staff
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
.
33200. Computational Neuroscience III: Cognitive Neuroscience
Hatsopoulas
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
31000
Mathematical Methods for the Biological
Sciences I (=BIOS 26210)
Kondrashov
31100
Mathematical Methods for the Biolgoical
Sciences II (=BIOS 26211)
Kondrashov
31200
Mathematical Methods for the Biological
Sciences III (=BIOS 26212)
Kondrashov
32607
Advanced Topics in Theoretical Neuroscience
Cowan
34600
Neurobiology of Disease I
Gomez and Staff
34700
Neurobiology of Disease II
Gomez and Staff
Neural Engineering Courses
Available through
the Illinois Institute of Technology
These courses are offered on a semester
basis.
35106
Neuromechanics of Human Movement
Kamper
35204
Neuroprosthetics
Troyk
35305
Electronics
Troyk
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.
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