Please re-read Article III of the
Academic Honor Code,
which describes conducts that are considered unacceptable (cheating, violating
the US Copyright law, etc).
NJIT HONOR CODE:
All Students should be aware that the Department of Mathematical Sciences
takes the NJIT
Academic Honor Code
very seriously and enforces it strictly. This means
there must not be any forms of plagiarism, i.e., copying of homework, class
projects, or lab assignments, or any form of cheating in quizzes and exams.
Under the Honor Code, students are obligated to report any such activities
to the Instructor.
Instructor:
Horacio G. Rotstein
E-mail:
horacio at njit edu (preferred)
Tel:
(973) 596-5306
Course Description:
This course covers mathematical and computational modeling of neuronal networks. It
is the continuation of Analytical Computational Neuroscience (Math 635). We assume
knowledge of the topics taught there.
This class will rely heavily on students presentations of certain papers, class
participation and homework (including a final project).
Textbooks:
"Theoretical Neuroscience: Computational and Mathematical Modeling of Neural
Systems", by Peter Dayan and Larry F. Abbott. The MIT Press,2001.
ISBN 0-262-04199-5
"Foundations of Cellular Neurophysiology", by Daniel Johnston and Samuel M.-S.
Wu. The MIT Press, 1995. ISBN 0-262-10053-3.
Recommended Books:
"Neuroscience", by D. Purves, G. J. Augustine, D. Fitzpatrick, W. C. Hall, A.-S. LaMantia, J. O. McNamara, L. E. White (eds.). Sinauer Associates, Inc., 2008.
ISBN 978-0-87893-7-697-7.
"Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting",
by Eugene M. Izhikevich. The MIT Press, 2007. ISBN 0-262-09043-8
Class meets:
Wed: 18:00 - 21:05, Cull 111
Student Presentations: ......
40%
Homework: ........................
30%
Class Participation...........
30%
.
Please note that the University Drop Date
March 29, 2010 deadline will be
strictly enforced
Office hours:
Tue 15:30-17:00 & Wed 13:00-14:30
Grading Policy:
Readings and Student Presentations
Each of these will be presented in class by a designated student and will be discussed (in class) after the presentation.
Presentations should take no more than 20 minutes, and should include and introduction to the topic, a description of the models (and other methods) used, a summary of the results with the corresponding relevant explanations, and a discussion.
It is important that the discussion reflects the presenter's opinion on the matter.
Presenters are expected to propose a homework assignment.
All students must hand in a short report on the assigned readings at the beginning of the corresponding class. The report should include questions arising during the reading and understanding process.
Class Participation
Reading the papers will ensure that students can make a contribution during class.
Questions count as class participation.
Quizzes consisting of questions about the reading may be administered when appropriate.
Homework Policy
Homework will consist of modeling and simulations exercises on the topics discussed in class. Homework assignments will be posted on the course website.
A number of assignments will be given out during the semester
Assignments will be collected one week after they are given out
Only hard copies of the assignments will be accepted
(NO electronic submissions)
The source code used in your calculations MUST accompany the submitted homework
Class Policies:
Class | Date | Topic of the Class | Readings |
|
Jan 20
| Introduction to Systems Computational Neuroscience. Single neuron models (review). | . |
|
Jan 27
| Dynamical systems - neural models (review). Rate models. | ........X........ |
|
Feb 3
| Matlab (review). Bursting - Part I. | ........X........ |
|
Feb 10
| Cancelled (snow) | |
|
Feb 17
| Bursting - Part II Chemical and electrical synaptic transmission - Part I | ........X........ |
|
Feb 24
| Chemical and electrical synaptic transmission - Part II | ........X........ |
|
Mar 3
| Phase response curves. | . |
|
Mar 10
| Introduction to Data Analysis. | . |
|
Mar 17
| Spring recess | . |
|
Mar 24
| Sub-threshold and super-threshold resonance. | . |
|
Mar 31
| Central pattern generators. | . |
|
Apr 7
| Excitatory and inhibitory circuits - Part I | . |
|
Apr 14
| Excitatory and inhibitory circuits - Part II | . |
|
Apr 21
| Excitatory and inhibitory circuits - Part III | . |
|
Apr 28
| Network oscillations - Part I | . |
|
| Network oscillations - Part II | . |
|
| Final Exam Period | . |
.
.
.
.
Department of Mathematical Sciences(DMS).