| Autor: |
Senden, Mario, Albada, Sacha J van, Pezzulo, Giovanni, Falotico, Egidio, Hashim, Ibrahim, Kroner, Alexander, Kurth, Anno C, Lanillos, Pablo, Narayanan, Vaishnavi, Pennartz, Cyriel, Petrovici, Mihai A, Steffen, Lea, Weidler, Tonio, Goebel, Rainer |
| Předmět: |
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| Zdroj: |
National Science Review; May2024, Vol. 11 Issue 5, p1-4, 4p |
| Abstrakt: |
The article discusses the limitations of reductionist approaches in neuroscientific research and the need for integrative brain models that consider the complex interactions between brain structures, the body, and the environment. The article presents a modular-integrative modeling approach that combines biological realism with functional performance. This approach involves encapsulating each component of the model as a module in an isolated environment, allowing for efficient integration of existing models and continuous refinement. The article emphasizes the importance of compatibility between modules and communication between components, achieved through a message broker and simulation coordinator. The modular-integrative modeling approach has potential applications in multisensory integration, multiscale dynamics, and embodied cognition. The article concludes by highlighting the need for a comprehensive understanding of brain structure, dynamics, and function, as well as the interplay between the brain, body, and environment. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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