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...
Enregistré dans:
Auteurs principaux: | Anar Amgalan, Patrick Taylor, Lilianne R. Mujica-Parodi, Hava T. Siegelmann |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4437a08b9cd74b978b311f5678a4bb4a |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.
par: Megan Olsen, et autres
Publié: (2010) -
Flexible kernel memory.
par: Dimitri Nowicki, et autres
Publié: (2010) -
Self-Acting Formation of an ANFO Similar Type of Explosive under Fire Conditions: A Case Study
par: Paweł Wolny, et autres
Publié: (2021) -
Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning
par: Ling Zhao, et autres
Publié: (2021) -
Scaling Relations and Self-Similarity of 3-Dimensional Reynolds-Averaged Navier-Stokes Equations
par: Ali Ercan, et autres
Publié: (2017)