Our brains are the most complex objects known to man. We cannot yet explain how our brains enable us to recognize objects and actions, how we learn, how we plan, how we use language. Yet these tasks are so natural for us they seem effortless. Through extensive interdisciplinary collaborations, the Brain Engineering Laboratory combines research from neuroscience, computer science, and cognitive science to advance our understanding of how brains operate, as well as how they fail to operate in certain conditions (such as neurological diseases).

The Laboratory has two primary goals: understanding and analysis of brain circuits, and construction of equivalent circuits. In both cases, real-world applications are developed as our understanding deepens. 

http://www.dartmouth.edu/~rhg/

Felch A, Granger R (2010) Sensor-rich robots driven by real-time brain circuit algorithms. In: Neuromorphic and brain-based robots (Krichmar & Wagatsuma, Eds)

http://www.dartmouth.edu/~rhg/pubs/FGbrainbots10.pdf 

Hearn R, Granger R (2009) Learning hierarchical representations and behaviors. In: Symposium on Naturally- Inspired Artificial Intelligence, American Association for Artificial Intelligence (AAAI).

http://www.dartmouth.edu/~rhg/pubs/hearn09.pdf 

Videos:

http://www.dartmouth.edu/~rhg/videos2.html

PDFs:

http://www.dartmouth.edu/~rhg/publications2011.html