The NeuroHAM conference will be held June 10–12, 2015 at Boston University as a celebration of the Center of Excellence for Learning in Education, Science and Technology (CELEST), a National Science Foundation Science of Learning Center. The conference will be co-sponsored by CELEST and the Boston University Center for Computational Neuroscience and Neural Technology (CompNet). We anticipate on the order of 100–150 attendees. NeuroHAM will run from midday on June 10 through midday on June 12. The conference will explore different aspects of neural processing in humans, animals, and machines, from basic science to emerging neural technologies. The event, which will take place in the Questrom School of Business (formerly the School of Management), Trustee Ballroom, One Silber Way, ninth floor, will be organized into seven scientific sessions, each consisting of talks from three preeminent scientists. A poster session / cocktail reception will be held on the evening of June 10 in the Atrium of the Questrom School of Business.
Real-world learning involves the whole brain working as a unified system. By synthesizing systems-level neuroscience and computational modeling, CELEST aims to understand brain mechanisms responsible for learning in real-world situations and to translate this knowledge into intelligent technologies. In order to advance this goal, CELEST promotes an innovative integration of experimental (bench), theoretical (models), and technical (applications) approaches to scientific research and graduate education.
The Center for Computational Neuroscience and Neural Technology (CompNet) is an interdisciplinary research center at Boston University that fosters collaborative research and education on mechanisms of neural computation and their applications. By providing administrative support, programs to stimulate scientific interaction, shared research and meeting space, and other infrastructure, CompNet brings together scientists from multiple fields in science and engineering and from all stages of training.