New Perspectives in Neuromorphometry and Computational Neuroscience

Luciano da Fontoura Costa

Cybernetic Vision Research Group
GII - IFSC - University of São Paulo - São Carlos, SP

Abstract. This paper discusses a series of new techniques for neuromorphometry, including Minkowski's sausages, influence histograms, normal and tangent vector fields, point curvature, orientation histograms and bending energy. The possibilities opened by these developments with respect to the better understanding and more realistic simulation of the behavior of neural structures are also discussed.


Luciano da Fontoura Costa is an Associate Professor at the DFI-IFSC, University of São Paulo. He received BSc's in Electronic Engineering (EESC-USP) and Computer Science (UFSCar), and did his MSc in Applied Physics (IFSC-USP). Luciano got his PhD in Electronic Engineering from King's College, University of London, in 1992. He is the coordinator of the Cybernetic Vision Research Group, being one of its idealizers, full member of Sigma Xi, member of the editorial board of Applied Signal Processing (Springer-Verlag), Real-Time Imaging (Academic Press), and Psyche (The MIT Press), and an Associate of Behavioral and Brain Sciences (Cambridge University Press). He has contributed more than 70 international publications, plus 5 invited contributions. His research interests include natural and artificial vision, signal processing, computational and visual neurosciences, and image processing and analysis.