Interdisciplinary Center For Neural Computation - Ph.D Program

Ph.D Program

The Ph.D. Program in: "Brain Research Computation and Information Processing" is supported by a generous donation from Alice and Jack Ormut.

The goal of the multi-disciplinary doctoral program is to train students to address various aspects of computation and information processing in the brain. This rapidly growing field is at the forefront of the sciences and technology.

The program provides students with theoretical and experimental expertise in:

• Neurobiology (information processing in nerve cells, structure and functional principles of the brain).
• Physics (neural networks, dynamic models, statistical mechanics and computation).
• Computer science (computation theory, learning, optimization).
• Psychology (cognition, memory, problem solving).

This grounding will enable students to address fundamental issues such as:

• What computational problems must the nervous system solve?
• Which computational methods does the nervous system use?
• How are computations carried out by the different components of the nervous system?
• What operating principles of neural networks may be found in artificial computing systems?

The program is designed to allow students with various backgrounds to supplement their knowledge in areas they have not studied, broaden their knowledge in topics crucial to every researcher in the field of brain sciences, and, finally, to allow each student to continue to broaden his/her knowledge in specific areas of interest.

The program is made up of three academic components:

• Required Courses - common to all students in the program.
• Optional Courses - courses that allow students to acquire expertise in the fields of research of their choice.
• Prerequisite Courses - The admissions committee will provide an individualized list of prerequisites for each student based upon his/her prior knowledge of the field.

The academic program is designed to allow students to complete the required coursework and prerequisites in four semesters.

Students who have completed their bachelor's degree in any field with an average of 85 or higher, or who have completed a master's degree in any field, are eligible to apply to the doctoral program. Admission is contingent on the approval of the program's admissions committee. Upon completion of three required courses, students will take a qualifying examination to determine their ability to continue in the doctoral program.

Students must also conduct a Ph.D. thesis project in accordance with the guidelines of the Ph.D. Student Committee.

Students who successfully complete the program are granted the degree of Doctor of Philosophy in Brain Sciences: Computation and Information Processing.