Cargando…
Recognition ability of untrained neural networks to symbolic numbers
Although animals can learn to use abstract numbers to represent the number of items, whether untrained animals could distinguish between different abstract numbers is not clear. A two-layer spiking neural network with lateral inhibition was built from the perspective of biological interpretability....
Autores principales: | Zhou, Yiwei, Chen, Huanwen, Wang, Yijun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534535/ https://www.ncbi.nlm.nih.gov/pubmed/36213547 http://dx.doi.org/10.3389/fninf.2022.973010 |
Ejemplares similares
-
Role of Lateral Inhibition on Visual Number Sense
por: Zhou, Yiwei, et al.
Publicado: (2022) -
Invariance of object detection in untrained deep neural networks
por: Cheon, Jeonghwan, et al.
Publicado: (2022) -
Visual number sense in untrained deep neural networks
por: Kim, Gwangsu, et al.
Publicado: (2021) -
Phase imaging with an untrained neural network
por: Wang, Fei, et al.
Publicado: (2020) -
Effects of Non-Symbolic Approximate Number Practice on Symbolic Numerical Abilities in Pakistani Children
por: Khanum, Saeeda, et al.
Publicado: (2016)