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