Computer Modeling of the Brain
One Section Available to Choose From:
|Course Dates||Weeks||Meeting Times||Status||Instructor(s)||CRN|
|June 23, 2014 - July 11, 2014||3||M-F 3:50-6:40P||Open||Ryan Maloney||10641|
The human brain is one of the most complicated systems on the planet, and this complexity has driven a huge number of scientists to create computer models in an attempt to understand the function of its components. These models allow scientists to test the feasibility of hypotheses and determine gaps in our understanding of the brain.
The purpose of this course is to give students a basic introduction to neuroscience, and in particular computational neuroscience, as well as enable them to create basic models of neurons and neural circuits in the MATLAB programming language.
This course will cover topics ranging from the molecular basis of learning to object recognition in the brain. In each unit, students will learn both about the topic itself, as well as gain exposure to the history and current state of research on the topic. Throughout each unit, students will work to develop their own simple models of the system in MATLAB (Introductory programming in MATLAB will be covered at the beginning of the course). This course is designed to expose students to a variety of topics in neuroscience as well as develop basic programming proficiency in a practical context.
In this course, students will learn to do the following:
(1) Describe and recognize past and current questions in the field of computational neuroscience
(2) Identify the advantages and limits of computer modeling in advancing our understanding of the brain
(3) Make rudimentary computational models in MATLAB to model basic biological systems ranging from proteins at a single synapse to brain areas
(4) Develop a conceptual understanding of core neural function and apply it to new problems and questions.
This course assumes basic proficiency in high school level biology, algebra and calculus. No previous programming experience is required.