Cargando…
Long-range temporal correlations in scale-free neuromorphic networks
Biological neuronal networks are the computing engines of the mammalian brain. These networks exhibit structural characteristics such as hierarchical architectures, small-world attributes, and scale-free topologies, providing the basis for the emergence of rich temporal characteristics such as scale...
Autores principales: | Shirai, Shota, Acharya, Susant Kumar, Bose, Saurabh Kumar, Mallinson, Joshua Brian, Galli, Edoardo, Pike, Matthew D., Arnold, Matthew D., Brown, Simon Anthony |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286302/ https://www.ncbi.nlm.nih.gov/pubmed/32537535 http://dx.doi.org/10.1162/netn_a_00128 |
Ejemplares similares
-
Avalanches and criticality in self-organized nanoscale networks
por: Mallinson, J. B., et al.
Publicado: (2019) -
Ranging Behaviour of Commercial Free-Range Laying Hens
por: Chielo, Leonard Ikenna, et al.
Publicado: (2016) -
Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain
por: Iyer, Laxmi R., et al.
Publicado: (2021) -
Scalable Memdiodes Exhibiting Rectification and Hysteresis for Neuromorphic Computing
por: Shank, Joshua C., et al.
Publicado: (2018) -
Neuromorphic Olfaction
por: Persaud, Krishna, et al.
Publicado: (2016)