Our group’s goal is to create, based on such microscopic connectivity and functional data, new mathematical models explaining how neural tissue computes.
Our modeling spans the connectomics gamut from the behavior of individual neurons in exiguous circuits to collections of neurons in increasingly complex networks. We believe that mapping such networks at the level of synaptic connections, and understanding the relation of their connectivity and geometry to function, will play a key role in unraveling the mystery of thought. We collaborate with neurobiologists to design experiments based on our theoretical models, and work extensively to analyze the resulting data in order to confirm or disprove our theoretical predictions.
We develop algorithms, systems and software architectures for automating reconstruction of accurate representations of neural tissue structures, such as nanometer-scale neurons' morphology and synaptic connections in the mammalian cortex.
MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.
The NIH has awarded funding to a BRAIN CONNECTS project that includes efforts from CSAIL researchers, helping make connectomics tools more accessible and efficient to scale to a much larger neuroscience community.
