Through broad disciplinary training enhanced by targeted interdisciplinary courses related to intelligence, students are prepared for research careers in this new field. Opportunities to participate in the Center’s seminars, workshops, and other activities, create a shared intellectual experience with CBMM faculty, postdocs, and other students.
An intensive three-week course will give advanced students a “deep end” introduction to the problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines.
CBMM faculty offer graduate and undergraduate courses that integrate computational and empirical approaches used in the study of problems related to intelligence. These courses introduce some of the mathematical frameworks used to formulate computational models, and experimental methods used in the fields of neuroscience and cognitive science to study the neural implementations of intelligent processes and manifestation of these computations in human cognitive behavior. Examples of the integration of these perspectives are drawn from current research on intelligence. Materials for many of these courses are available online. Most graduate courses are open to advanced undergraduates with appropriate background. Enrollment for courses is handled through the respective institutions.
Training for CBMM graduate students combines interdisciplinary coursework, collaborative research experiences, and professional development and leadership opportunities, in preparation for research in academia or industry that advances our understanding of human intelligence, how it is carried out in the neural circuits of the brain, and how it may be realized in intelligent machines. Students work closely with leading experts in the theoretical and empirical approaches to the study of brain science, to tackle challenging problems in the integration of vision, language, planning, action, and social understanding that underlies intelligent behavior.
The Center’s undergraduate program provides a framework for academic preparation for students interested in pursuing graduate work in the science of intelligence. Interdisciplinary undergraduate courses taught by CBMM faculty emphasize the integration of theoretical and empirical approaches to problems in this field. Undergraduate research in CBMM labs gives students hands-on experience with the methodogical tools used in intelligence research and provides valuable opportunities for mentorship from CBMM faculty, postdocs, and graduate students.
A fruitful and productive postdoctoral experience has become increasingly important for a career in research not only in neuroscience but also in the computational sciences. CBMM supports several postdoctoral associates conducting research on projects that cut across multiple faculty labs, aimed at understanding many aspects of intelligent behavior. The goal of our mentoring plan is to provide a flexible framework for the postdoc’s professional and career development that accommodates the needs of the individual.