Computational Module

点击翻译按钮获取中文摘要

Project Summary Vision research has accelerated toward a need to not only understand how visual stimuli are received and processed in the brain, but towards the need to understand how the brain interprets, predicts, and ‘reasons’ about what it is seeing. Machine learning/computer vision (ML/CV) approaches are now essential tools to test theories of deep vision/higher order vision, and investigators at Harvard have pioneered the development of these algorithms to make fundamental discoveries regarding object and face recognition. To further develop this research program, the Vision Core is launching a Computational Module that will support the development of new methods in this area, and to provide expertise to vision labs that seek to apply ML/CV methods to their research. The Module will be staffed by a ML/CV Specialist who will generate new models, create pipelines to train models, and also curate models for the community. Vision researchers will specifically benefit from this resource through access to a dedicated node on the HMS high-performance computing cluster, O2, which will be managed by the ML/CV specialist. Lastly, the Computational Module will provide training and educational workshops to the vision community to support the next generation of trainees interested in this highly impactful area of research. The Module will be supervised by Dr. Gabriel Kreiman, a leading expert in the use and development of ML/CV models in vision research, and a longstanding user of the Vision Core. By generating a set of accessible expertise and resources for the vision community, the new Computational Module will catalyze progress in this critical area of vision research.