Cargando…
Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically inspired neural network
Number sense, the ability to decipher quantity, forms the foundation for mathematical cognition. How number sense emerges with learning is, however, not known. Here we use a biologically-inspired neural architecture comprising cortical layers V1, V2, V3, and intraparietal sulcus (IPS) to investigate...
Autores principales: | Mistry, Percy K., Strock, Anthony, Liu, Ruizhe, Young, Griffin, Menon, Vinod |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310708/ https://www.ncbi.nlm.nih.gov/pubmed/37386013 http://dx.doi.org/10.1038/s41467-023-39548-5 |
Ejemplares similares
-
Neurocognitive modeling of latent memory processes reveals reorganization of hippocampal-cortical circuits underlying learning and efficient strategies
por: Supekar, Kaustubh, et al.
Publicado: (2021) -
Probabilistic and biologically inspired feature representations
por: Felsberg, Michael, et al.
Publicado: (2018) -
Biologically-inspired neuronal adaptation improves learning in neural networks
por: Kubo, Yoshimasa, et al.
Publicado: (2023) -
Beyond Natural Numbers: Negative Number Representation in Parietal Cortex
por: Blair, Kristen P., et al.
Publicado: (2012) -
Neuromorphic Analog Implementation of Neural Engineering Framework-Inspired Spiking Neuron for High-Dimensional Representation
por: Hazan, Avi, et al.
Publicado: (2021)