Courses:

Course Info

• Course Number / Code:
• 8.594J (Spring 2005) 
• Course Title:
• Introduction to Neural Networks 
• Course Level:
• Graduate 
• Offered by :
• Massachusetts Institute of Technology (MIT)
  Massachusetts, United States  
• Department:
• Brain and Cognitive Sciences 
• Course Instructor(s):
• Prof. Sebastian Seung 
• Course Introduction:
•  
• 
  
  9.641J / 8.594J Introduction to Neural Networks
  
  
  
  

  Spring 2005

  
  
  

  
  
  

  Course Highlights

  
  
  

  This course features a selection of downloadable lecture notes and problem sets in the assignments section.

  
  
  

  Course Description

  
  
  

  This course explores the organization of synaptic connectivity as the basis of neural computation and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.

  
  
  

  Technical Requirements

  
  
  

  Special software is required to use some of the files in this course: .mat, and .m.

  
  

  *Some translations represent previous versions of courses.