Please reread Article III of the Academic Honor Code, which describes conducts that are considered unacceptable (cheating, violating the US Copyright law, etc).
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).
Student Presentations: ...... 50%
Homework: ........................ 30%
Class Participation........... 20%
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Please note that the University Drop Date March 28, 2011 deadline will be strictly enforced
Class  Date  Topic of the Class  Readings / Notes 

Jan 19

Introduction to Systems Computational Neuroscience.
Single neuron models (review).  LN01 

Jan 26
 Single neuron models (review)  LN04 

Feb 2
 Dynamical systems tools for neural models (review)  . 

Feb 9

Bursting (review)
Firing rate models  

Feb 16
 Chemical and electrical synaptic transmission I  . 

Feb 23
 Chemical and electrical synaptic transmission II  . 

Mar 2
 Phase response curves.  . 

Mar 9
 Subthreshold resonance  . 

Mar 23
 Suprathreshold resonance  . 

Mar 30
 Centrat pattern generators  . 

Apr 6
 Excitatory and inhibitory circuits I  . 

Apr 13
 Excitatory and inhibitory circuits II  . 

Apr 20
 Network oscillations I  . 

Apr 27
 Network oscillations II  . 

 Final Exam Period  . 
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Department of Mathematical Sciences(DMS).
New Jersey Institute of Technology (NJIT).