COMPUTATIONAL NEUROSCIENCE SYSTEMS
Dr. Kim "Avrama" Blackwell
Spring, 2004
Thursdays, 12 - 2:50 PM
Room S&T I 101
COURSE DESCRIPTION
An intensive introduction to systems neuroscience.
The anatomy, physiology, and function of each of the major brain structures
and systems will be presented. The emphasis will be on behaviors that emerges
from integrated actions of populations of neurons. Computational techniques
used to study and understand networks of neurons also will be addressed.
Students are expected to do assigned readings prior to class and to participate
in class discussions (20% of grade) and present a project in class (80% of
grade).
READING
Required Textbook: Dayan and Abbott Theoretical
Neuroscience MIT Press
Recommended Textbook: Zigmond et al. Fundamental Neuroscience,
1st edition, Academic Press
Relevant papers for discussion during class will
be distributed during previous class.
SYLLABUS
WEEK,DATE | Modeling TOPIC/Neuroscience TOPIC | Book Chapters |
1 1/22 |
Neuronal Modeling Tools: Programming with GENESIS and NEURON |
|
2 1/29 |
Firing Rates Visual System |
TN: Chapter 1 FN: Chapter 28 |
3 2/5 |
Stimulus Response Functions Visual System |
TN: Chapter 2 FN: Chapter 28 |
4 2/12 |
Neural Decoding (Part 1) Olfactory System |
TN: Chapter 3 FN: Chapter 25 |
5 2/19 |
XPP Somatosensory System |
FN: Chapter 26 |
6 2/27 |
Neural Decoding (Part 2) Auditory System |
FN: Chapter 27 |
7 3/4 |
Integrate and Fire models Somatomotor system |
TN: Chapter 7 FN: Chapter 30,31 |
8 3/18 |
Feedforward and Recurrent Networks Somatomotor system |
TN: Chapter 7 FN: Chapter 33 |
9 3/25 |
Hebbian Learning Hippocampus (Learning/Memory) |
TN: Chapter 8 FN: Chapter 53,55 |
10 4/1 |
Classical Conditioning Cerebellum |
TN: Chapter 9 FN: Chapter 35 |
11 4/8 |
Temporal Difference Learning Basal Ganglia |
TN: Chapter 9 FN: Chapter 34 |
12 4/15 |
Multi-compartmental Models Prefrontal Cortex |
FN: 54,56 |
13 4/22 |
Multi-compartmental Models Thalamus |
|
14 4/29 |
Presentations |
SOFTWARE TOOLS