CSI 735

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

GENESIS Home Page

XPP (Bard Home Page)

NEURON