Computationally-Enabled Integrative Neuroscience Program | Brain and Cognitive Sciences
bcs.mit.edu/academic-program/computationally-enabled-integrative-neuroscience-program
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CEIN program
connection with human health
f methodological and quantitative rigor
Contemplate and build quantitative models
Combine experimental methods and concepts
potential trainees must be in the first two years of the program.
As computational and experimental neuroscience become increasingly intertwined,
commercial and clinical enterprises and applications in this area,
Broad training in research methods and concepts
Trainees will be evaluated on a demonstrated proficiency asking questions that span multiple levels of analysis.
Computational approaches and skills in the context of experiments and neuroscience data.
CEIN trainees will have access to a variety of computational and engineering courses (required and elective), a programming bootcamp and tutorials to review computational topics related to neuroscience.
Professional skills to lead and connect research with world impact.
“integrative neuroscience”
euroscience in multiple experimental methods and concepts of neuroscience (
t multiple levels of analysis including experimental design, data analysis, computational modeling, and theorizing.
CEIN training program,
(e.g. deep neural network models, recurrent network models, biophysical models
Final student selections are based on merit and appropriate fit for the CEIN traineeship.
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