Course Schedule - Spring Semester 2017

     

ELEC 489 001 (CRN: 22455)

THEORETICAL NEUROSCIENCE II

Long Title: THEORETICAL NEUROSCIENCE II: NETWORKS AND LEARNING
Department: Electrical & Computer Eng.
Instructors:
Pitkow, Xaq
Shouval, Harel
Meeting: 2:30PM - 3:45PM TR HRZ 211 (9-JAN-2017 - 21-APR-2017) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
May not be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 19
Section Enrolled: 3
Total Cross-list Max Enrollment: 19
Total Cross-list Enrolled: 11
Enrollment data as of: 2-OCT-2022 8:54PM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
Final Exam Time:
26-APR-2017  
2:00PM - 5:00PM W TBA TBA
 
Description: How does the brain work? Understanding the brain requires sophisticated theories to make sense of the collective actions of billions of neurons and trillions of synapses. Word theories are not enough; we need mathematical theories. The goal of this course is to provide an introduction to the mathematical theories of learning and computation by neural systems. These theories use concepts from dynamical systems (attractors, chaos) and concepts from statistics (information, uncertainty, inference) to relate the dynamics and function of neural networks. We will apply these theories to sensory computation, learning and memory, and motor control. Our learning objectives are for you to formalize and mathematically answer questions about neural computations including “what does a network compute?”, “how does it compute?”, and “why does it compute that way?” Prerequisites: knowledge of calculus, linear algebra, and probability and statistics. Cross-list: CAAM 416, NEUR 416, ELEC 589. Mutually Exclusive: Cannot register for ELEC 489 if student has credit for ELEC 589.