Abstract:
We explore a first proof-of-concept application for visualizing large scale digitally reconstructed brain circuitry using signed distance functions. The significance of o...Show MoreMetadata
Abstract:
We explore a first proof-of-concept application for visualizing large scale digitally reconstructed brain circuitry using signed distance functions. The significance of our method is demonstrated in comparison with using implicit geometry that is limited to provide the natural look of neurons or explicit geometry that requires huge amounts of memory and has limited scalability with larger circuits.
Published in: 2019 IEEE Visualization Conference (VIS)
Date of Conference: 20-25 October 2019
Date Added to IEEE Xplore: 19 December 2019
ISBN Information: