Analog and digital systems and high-performance solutions in problems of brain research and modeling

Abstract

This paper is devoted to some of the infrastructural problems of neuroinformatics in the context of existing analog-to-digital systems and high-performance solutions. We surveyed results and analyzed some of the existing methods required in various experiments. Special attention was devoted to the problem of the human brain simulation, based on a combination of digital and analog subsystems. Paper shows various approaches to modeling of interactions between brain neurons and explores different algorithms. We consider different applications of cloud solutions to neuroinformatics problems. Paper highlights areas of particular interest such as working with external storage, distributed data processing and visualization of acquired results. For each of them we survey existing options for creating cloud-based distributed computing solutions that can solve important challenges faced by researchers in their work.

Keywords

• нейроинформатика
• вычислительная нейробиология
• высокопроизводительные вычисления
• моделирование человеческого мозг
• neuroinformatics
• computational neuroscience high performance computing
• brain modelling