BrainX3 represents an integrated neuroinformatic platform designed to facilitate the effective visualisation, analysis, semantic mapping, and simulation of whole brain dynamics. As the software evolves, emphasis is placed on both studying biological and creating artificial nervous systems; advancing to the needs of researchers. We present the role of BrainX3 in facilitating a comprehensive understanding and exploration of brain data. Through a detailed exploration of its capabilities, we demonstrate how BrainX3 serves as a tool for understanding the brain’s functioning. By bridging the gap between empirical data and computational models, BrainX3 empowers users to delve deeper into the complexities of the brain, ultimately advancing our understanding and contributing to the development of living machines and artificial brains. We also highlight recent advancements in the software, with a particular emphasis on the modeling of artificial brains.

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BrainX3 3.0: Advancing Neuroinformatics and Artificial Brains for Living Machines

  • Man Yang,
  • Bas J. N. M. Drost,
  • Dante Aviñó,
  • Benedetta Felici,
  • Francisco Páscoa dos Santos,
  • Raimon Bullich Vilarrubias,
  • Vivek Sharma,
  • Paul F. M. J. Verschure

摘要

BrainX3 represents an integrated neuroinformatic platform designed to facilitate the effective visualisation, analysis, semantic mapping, and simulation of whole brain dynamics. As the software evolves, emphasis is placed on both studying biological and creating artificial nervous systems; advancing to the needs of researchers. We present the role of BrainX3 in facilitating a comprehensive understanding and exploration of brain data. Through a detailed exploration of its capabilities, we demonstrate how BrainX3 serves as a tool for understanding the brain’s functioning. By bridging the gap between empirical data and computational models, BrainX3 empowers users to delve deeper into the complexities of the brain, ultimately advancing our understanding and contributing to the development of living machines and artificial brains. We also highlight recent advancements in the software, with a particular emphasis on the modeling of artificial brains.