Abstract
In this chapter, I provide a summary description of computation approaches inspired to the functioning of the brain and to biology. These include artificial neural networks, fuzzy logic algorithms, and evolutionary computation algorithms. Moreover, I discuss the concept of brain-based technology (BBT). These consist of hardware, software, procedures, and workflows that are developed consistently with the human cognitive abilities and limitations. Optimized visualization tools represent a first example of BBT. Based on the functioning of human vision, they are aimed at maximizing color/shape perception and minimizing the interpretation pitfalls inherent in the cognitive process. Then, I introduce a new approach for multimodal and multisensory analysis of geophysical signals. This approach is aimed at expanding the realm of geophysical data analysis taking in account for simultaneous visual and audio perception. It combines the benefits of both imaging and sonification techniques with pattern recognition and automatic classification methods. I discuss the theoretical fundamentals of that approach and several examples based on real geophysical data. Finally, I discuss the concept of quantitative integration system (QUIS). This is an integration platform allowing optimized workflows for combining complementary data. QUIS represents a typical example of BBT. In fact, it is developed consistently with the main integration functions of human brain, characterized by high connectivity of advanced processing modules.
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