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Graduate Programs

The Graduate Programs take advantage of existing graduate training programs at UCLA to train a new generation of computational biology researchers. The Programs focus on building an infrastructure and environment conducive to interdisciplinary research that crosses different academic units and cultures. They take an integrated, team-oriented approach that emphasizes interaction between leading international researchers and professors, junior faculty, post-doctoral scholars, and students.


Formal Training Program

A comprehensive training program currently exists and is coupled to the CCB. Funding for trainees has been awarded in a T32 grant from NIMH (“Training Program in Neuroimaging”). More

Research Training Program

LONI offers two to 10 week long rotations in various research areas such as atlasing, genotype and phenotype studies, fMRI, and parametric modeling. More

Visiting Professorship Program

Our visiting professor series is designed to provide more long-term training of individuals who are interested in neuroimaging and multidimensional modeling. By providing the appropriate space and resources necessary to equip visiting investigators, we can enhance their experience with our group. More

Local Courses

MRI Training Course: This practical hands-on course is presented to graduate students, post-doctoral candidates, and faculty interested in learning the practical operation of our state-of-the-art, high field (3-Tesla), echo-planar fMRI device.

Neuroanatomy Seen Through Neuroimaging: This course is presented to UCLA medical students in their first year. Faculty from our group present lectures in a didactic format on the different structural and functional imaging techniques available to study the human brain in health and disease.

Computational Brain Mapping and Neuroimaging: This course introduces students to the modern methods of brain mapping and neuroimaging research. The course instructors have a wide range of expertise and will cover the basics of the state-of-the-art techniques for image acquisition, data pre-processing, analysis, and visualization. A variety of applications in brain research and computational neuroscience will be discussed. More

Neuroimaging Course: This course is presented for UCLA for graduate students and post-doctoral candidates. It is directed by Arthur Toga, Ph.D. and lectures are provided by faculty from our group as well as invited participants from the Departments of Anatomy, Physiology, and Psychology. The purpose of the course is to familiarize graduate and higher-level trainees in the principles of Brain Mapping technologies, data analysis, and integration.

Courses under the Department of Biomedical Physics

219 – Principles and Applications of Magnetic Resonance Imaging: Basic principles of magnetic resonance (MR), imaging physics, and contrast mechanisms. Emphasis on hardware, Fourier transform imaging methods, structure of pulse sequences, various scanning parameters and reduction of artifacts. Introduction to MRI spectroscopy, MR angiography, and fast imaging techniques.

M424 – Functional Magnetic Resonance Imaging Journal Club: (Same as Psychiatry M424): Current topics in functional neuroimaging, with emphasis on novel applications, analysis, and acquisition methods. Student papers are presented and critiqued. Overall emphasis on magnetic resonance imaging.

Bioinformatics IDP Courses
The UCLA’s Bioinformatics Core Curriculum defines the hard core of what students must know to invent new kinds of bioinformatics. It teaches the shared concepts, language and skills which bioinformaticists must have to operate in a collaborative, inter-disciplinary mode. The goal is to train students who can speak the language of statistical inference, computational complexity, network analysis and data mining. More