FlyBrainLab: a Complete Programming Environment for Discovering the Functional Logic of the Fruit Fly Brain
Video
Team Information
Team Members
Aurel A. Lazar, Professor of Electrical Engineering and Co-Director of the Center for Neural Engineering and Computation, Department of Electrical Engineering, Columbia Engineering
Tingkai Liu, PhD Candidate, Department of Electrical Engineering, Columbia Engineering
Mehmet Kerem Turkcan, PhD Candidate, Department of Electrical Engineering, Columbia University
Yiyin Zhou, Associate Research Scientist, Department of Electrical Engineering, Columbia Engineering
Abstract
In the era of connectomics and synaptomics when large-scale fruit fly brain datasets are rapidly emerging, there is a need to develop tightly integrated computing tools that automate the process of 3D exploration and visualization of fruit fly brain data with the interactive exploration of the functional logic of executable circuits. To meet this challenge we have built an open source interactive computing platform called FlyBrainLab that brings together neuroanatomical, genetic and neurophysiological datasets with computational models of different researchers for their validation and comparison within the same platform.
Contact this Team
Contact: Aurel A. Lazar (use form to send email)