Moreno-Rodríguez José Luis, Larrañaga Pedro, Bielza Concha
Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain.
Front Neuroinform. 2023 Feb 17;17:1092967. doi: 10.3389/fninf.2023.1092967. eCollection 2023.
Nowadays, an enormous amount of high dimensional data is available in the field of neuroscience. Handling these data is complex and requires the use of efficient tools to transform them into useful knowledge. In this work we present NeuroSuites, an easy-access web platform with its own architecture. We compare our platform with other software currently available, highlighting its main strengths. Thanks to its defined architecture, it is able to handle large-scale problems common in some neuroscience fields. NeuroSuites has different neuroscience-oriented applications and tools to integrate statistical data analysis and machine learning algorithms commonly used in this field. As future work, we want to further expand the list of available software tools as well as improve the platform interface according to user demands.
如今，神经科学领域有大量的高维数据。处理这些数据很复杂，需要使用高效的工具将其转化为有用的知识。在这项工作中，我们展示了NeuroSuites，一个具有自身架构的易于访问的网络平台。我们将我们的平台与目前可用的其他软件进行比较，突出其主要优势。由于其定义的架构，它能够处理一些神经科学领域常见的大规模问题。NeuroSuites有不同的面向神经科学的应用程序和工具，以整合该领域常用的统计数据分析和机器学习算法。作为未来的工作，我们希望进一步扩展可用软件工具的列表，并根据用户需求改进平台界面。
