The structure dilemma in biological and artificial neural networks
Abstract Brain research up to date has revealed that structure and function are highly related. Thus, for example, studies have repeatedly shown that the brains of patients suffering from schizophrenia or other diseases have a different connectome compared to healthy people. Apart from stochastic pr...
Guardado en:
Autores principales: | Thomas Pircher, Bianca Pircher, Eberhard Schlücker, Andreas Feigenspan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/64997af2df6745538de8d9fd4f50fe8d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Artificial astrocytes improve neural network performance.
por: Ana B Porto-Pazos, et al.
Publicado: (2011) -
An adiabatic method to train binarized artificial neural networks
por: Yuansheng Zhao, et al.
Publicado: (2021) -
The duality between particle methods and artificial neural networks
por: A. Alexiadis, et al.
Publicado: (2020) -
RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.
por: Marco Grimaldi, et al.
Publicado: (2011) -
Learning spin liquids on a honeycomb lattice with artificial neural networks
por: Chang-Xiao Li, et al.
Publicado: (2021)