University
of Pittsburgh Carnegie Mellon University

Joint CMU-Pitt Ph.D. Program in Computational Biology

Robert F. Murphy and Ivet Bahar, Directors

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Computational Neurobiology Specialization Area

Neuroscience is one area in biology where quantitative modeling has made a major impact. Starting with the Nobel prize winning work by Hodgkin and Huxley, the use of modeling techniques has driven much neuroscience research, particularly at the cellular and systems levels. Modeling projects span the gamut from receptor level stochastic modeling through biophysical models of cells to small networks of neurons on up to cognitive modeling and how the interactions of different brain areas lead to different behaviors. These different levels of modeling require bridging spatial scales from nanometers to centimeters and temporal scales from microseconds to minutes. Computation, simulation, and mathematical analysis will play an important role in making this bridge possible.

Required Life Sciences Elective

Pitt NROSCI 2012 Neurophysiology

Required Quantitative Elective

CMU 15-750 Algorithms

Specialization Electives (two of the following)

Pitt CS 2450 Parallel Computing
Pitt MATH 3370Mathematical Neuroscience
Pitt MATH 3375 Computational Neuroscience
Pitt MSMPHL 3375 Neuropharmacology
Pitt MSNBIO 2102 Systems Neurobiology
Pitt NROSCI 2107 Current Research in Neural Basis Cognition
CMU 03-761 Neural Plasticity in Sensory and Motor Systems
CMU 15-685 Computer Vision
CMU 15-782 Special Topic: Artificial Neural Networks
CMU 15-785 Computational Perception and Scene Analysis
CMU 15-874 Special Topics: Computational Neuroscience
CMU 15-883 Computational Models of Neural Systems
CMU 36-746 Statistical Methods for Neuroscience
CMU 85-719 Introduction to Parallel Distributed Processing