Realistic neuromorphic models and their application to neural reorganization simulations

Shape, connectedness and dynamics in neuronal networks

The morphology of neurons is directly related to several aspects of the nervous system, including its connectedness, health, development, evolution, dynamics and, ultimately, behavior. Such interplays of the neuronal morphology can be understood within the more general shape-function paradigm. The current article reviews, in an introductory way, some key issues regarding the role of neuronal morphology in the nervous system, with emphasis on works developed in the authors' group. The following topics are addressed: (a) characterization of neuronal shape; (b) stochastic synthesis of neurons and neuronal systems; (c) characterization of the connectivity of neuronal networks by using complex networks concepts; and (d) investigations of influences of neuronal shape on network dynamics. The presented concepts and methods are useful also for several other multiple object systems, such as protein-protein interaction, tissues, aggregates and polymers.

Investigating human color preferences in the perception of complex three-dimensional structures

This article describes preliminary results of a investigation that addresses the problem of human color perception in the visual analysis of complex three-dimensional shapes. We built 3D visualization models of synthetic neural cells, and designed two experiments to identify user preferences for color when observing and executing tasks on these 3D models. Though preliminary, the results obtained from these experiments are consistent and indicate that some trends exist that deserve further investigation.