Unique scales preserve self-similar integrate-and-fire functionality of neuronal clusters
Abstract Brains demonstrate varying spatial scales of nested hierarchical clustering. Identifying the brain’s neuronal cluster size to be presented as nodes in a network computation is critical to both neuroscience and artificial intelligence, as these define the cognitive blocks capable of building...
Guardado en:
Autores principales: | Anar Amgalan, Patrick Taylor, Lilianne R. Mujica-Parodi, Hava T. Siegelmann |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4437a08b9cd74b978b311f5678a4bb4a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
por: Megan Olsen, et al.
Publicado: (2010) -
Flexible kernel memory.
por: Dimitri Nowicki, et al.
Publicado: (2010) -
Self-Acting Formation of an ANFO Similar Type of Explosive under Fire Conditions: A Case Study
por: Paweł Wolny, et al.
Publicado: (2021) -
Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning
por: Ling Zhao, et al.
Publicado: (2021) -
Scaling Relations and Self-Similarity of 3-Dimensional Reynolds-Averaged Navier-Stokes Equations
por: Ali Ercan, et al.
Publicado: (2017)