Resumen

CASTILLO PEREZ, Kevin  y  ORELLANA GARCIA, Arturo. Analysis of technologies for visualization of multimodal neuroscientific data. RCCI [online]. 2023, vol.17, n.4  Epub 01-Dic-2023. ISSN 2227-1899.

Data visualization allows you to process quantities of information and condense or summarize it in an image, an animation or a graph to transmit concepts universally. It allows you to improve decision making by being able to capture complex concepts at a glance, or identify new patterns. The difficulty involved in analyzing the most complex organ of the human body, the brain, is a system that processes massive information, and to advance its study it is convenient to use a hierarchy of different levels of organization, where each level in the hierarchy represents an increase in the complexity of the organization. Official sources on neuroscience studies and official sites on neuroscientific technologies, publications indexed in recognized journals on the subject and general medicine are consulted. The objective of the research was to analyze the tools for visualizing neuroimaging data and neuroscience signals that would help identify their main elements for their integration into a multipurpose tool. The technologies, their use and impact on science were described, as well as the tools created to improve the analysis, and characteristics of the latter were obtained in relation to visualization. The impact of the evolution of the analyzed neuroscience data visualization technologies is summarized. The advancement of neuroscience data visualization technologies brings with it the development of sophisticated software that complements these, providing more detailed and improved information.

Palabras clave : data visualization; neuroscience; technologies.

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