About the Lab
Research in our lab is aimed at understanding the basic brain functions and principles of synaptic connectivity in the cerebral cortex through the quantitative analysis of neuron morphology. Ongoing projects range from theoretical and computational studies of learning and memory in real and artificial neural networks, to the analyses of structural connectivity diagrams built from experimental datasets of reconstructed neurons, to the development of algorithms for automated tracing of neurites from 3D light microscopy images. We use methods that are rooted in theoretical physics and machine learning, combined with geometrical techniques and numerical simulations.
The Neurogeometry lab is part of the Physics Department and the Center for Interdisciplinary research on Complex Systems at Northeastern University in Boston.
On September 1st of 2013 our team released the third version of the Neural Circuit Tracer — open source software for automated and manual tracing of neurites from light microscopy stacks of images. NCTracer 3.0 includes two automated tracing algorithms, numerous MatLab and Java-based plugins for image and trace processing, and a module for active learning of neuron morphology. For more information go to the Neural Circuit Tracer page.