Advanced Computational Neuroscience

            Biol 636 / Biol 436

            Spring 2019

    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.

    Please re-read Article III of the Academic Honor Code, which describes conducts that are considered unacceptable (cheating, violating the US Copyright law, etc).

    Course Outline:


Week Topics of the Class Notes
1

Introduction

Brief review of single cell dynamics

2

Models of Synaptic Dynamics

Basic models of Network Dynamics

LN-13

LN-14

LN-15

3

Data analysis and spike-train statistics
4

Data analysis and spike-train statistics
5

Firing rate models of neuronal networks
6

Response of neurons to periodic inputs: resonance and entrainment
7

Synchronization
8

Neuronal oscillations
9

Neuronal oscillations
10

Response of neurons to periodic inputs: resonance and entrainment
11

Central pattern generators
12

Synaptic plasticity
13

Project Presentations
14

Project Presentations
15

Project Presentations


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Federated Department of Biological Sciences.

New Jersey Institute of Technology (NJIT) / Rutgers University.


Horacio
Last modified: Sun Oct 31 13:16:02 EDT 2010