CMU CS: 15-883: Computational Models of Neural Systems

Course: 15-883 - Computational Models of Neural Systems
(Old Version: Spring 1997)

General Class Information

Days and Time: Mondays/Wednesdays, 3:00 to 4:20 PM
Place: Wean Hall 4601
Instructor:
Dave Touretzky
Office: 8128 Wean Hall
Office Hours by appt.
email: dst@cs.cmu.edu
phone: 412-268-7561
TA:
Lisa Saksida
Office: MSL (BoM D) 151
Office Hours by appt.
phone: 412-268-1417
email: saksida@cs.cmu.edu
Credits:
12 units (CMU)
4 credits (Pitt)
1 core unit (CS or NPC)
Evaluation:
Class presentation of selected papers, a midterm, and a take-home final.
Prerequisite:
Prior familiarity with either computer science or neuroscience. Computer science students should have passed the graduate AI core course, or taken at least two undergraduate courses in AI or cognitive modeling. Neuroscience students should have taken Neuroscience 1 and 3 and have some formal training in computation, such as an undergraduate programming class.
Description:
This course is an in-depth study of information processing in real neural systems from a computer science perspective. We will examine several brain areas where processing is sufficiently well understood that it can be discussed in terms of specific representations and algorithms. We will focus primarily on computer models of these systems, after establishing the necessary anatomical, physiological, and psychophysical context. There will be some neuroscience tutorial lectures for those with no prior background in this area.
Class organization The syllabus Provisional lecture assignments If you are in this class and are not on this list let me know! (saksida@cs) The Digital Anatomist Interactive Brain Atlas Midterm Exam Midterm Answer Key Final Answer Key

Lectures and Handouts

13 January 1997
1.1 Organizational Meeting
DST: Introduction
15 January 1997
1.2 Brains & Computation
DST: Brains & Computation
20 January 1997
1.3 Neurophysiology for Computer Scientists
DST: Neurophysiology
22 January 1997
2.1 Vectors, Matrices, and Associative Memory
DST: Matrix memory
27 January 1997
2.2 Anatomy of the Hippocampal System
Handouts for this lecture are not available on-line.
29 January 1997
2.3 Associative Memory Models of Hippocampus
DST: Marr
3 February 1997
2.4 Hippocampus as a Cognitive Map
Dave Redish
5 February 1997
2.5 Pattern Completion and Separation (O'Reilly and McClelland)
Daniel Nikovski
10 February 1997
2.6 Pattern Completion and Separation (Hasselmo)
DST: Hasselmo
12 February 1997
2.7 Phase Precession
Doug Rohde
17 February 1997
3.1 Synaptic Learning Rules
Will Uther
19 February 1997
3.2 LTP and the NMDA Receptor
Julia Berzhanskaya
24 February 1997
3.3 Invertebrate Learning
Matthew Broadhead
26 February 1997
4.1 Anatomy of the Cerebellum
DST
3 March 1997
*** MID-SEMESTER BREAK ***
5 March 1997
4.2 Table Lookup/Basis Function Models
Neil Heffernan
10 March 1997
4.3 Motor Learning
Krzysztof Czuba
12 March 1997
5.1 The Rescorla-Wagner Model and its Descendants
Lisa Saksida
Reinforcement Learning On-line Tutorial
Reinforcement Learning review paper
Doug Rohde's TD simulation
17 March 1997
5.2 The Cerebellum and Classical Conditioning
Eli Brandt
19 March 1997
5.3 Predictive Hebbian Learning
Mirella Lapata
24 March 1997
*** SPRING BREAK ***
26 March 1997
*** SPRING BREAK ***
31 March 1997
6.1 Anatomy of the Basal Ganglia
DST
2 April 1997
6.2 Models of Basal Ganglia
Photina Jang
7 April 1997
7.1 Population Vectors and the Motor System
DST
9 April 1997
7.2 Attractor Model of the Rodent Head Direction System
Jeremy Goodridge
Jeremy Goodridge's head direction simulation
14 April 1997
7.3 Coordinate Transformations in Parietal Cortex
Larry Zitnick
16 April 1997
7.4 The Nervous System of C. Elegans
David Tolliver
Worm pages
21 April 1997
8.1 Neuroanatomy of the Visual System
Lisa Saksida
23 April 1997
8.2 Developmental Models of Ocular Dominance and Orientation Columns
Shih-Chueh Pan
28 April 1997
8.3 Direction Selectivity in V1
Jordan Feidler
30 April 1997
8.4 A Microcircuit for Visual Cortex
Cortis Clark
5 April - 9 April 1997
Final Exam
Lisa Saksida
Carnegie Mellon University
saksida+@cs.cmu.edu