Cargando…
Influence of language on perception and concept formation in a brain-constrained deep neural network model
A neurobiologically constrained model of semantic learning in the human brain was used to simulate the acquisition of concrete and abstract concepts, either with or without verbal labels. Concept acquisition and semantic learning were simulated using Hebbian learning mechanisms. We measured the netw...
Autores principales: | Henningsen-Schomers, Malte R., Garagnani, Max, Pulvermüller, Friedemann |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791487/ https://www.ncbi.nlm.nih.gov/pubmed/36571136 http://dx.doi.org/10.1098/rstb.2021.0373 |
Ejemplares similares
-
Modelling concrete and abstract concepts using brain-constrained deep neural networks
por: Henningsen-Schomers, Malte R., et al.
Publicado: (2021) -
Neurocomputational Consequences of Evolutionary Connectivity Changes in Perisylvian Language Cortex
por: Schomers, Malte R., et al.
Publicado: (2017) -
Neurobiological mechanisms for language, symbols and concepts: Clues from brain-constrained deep neural networks
por: Pulvermüller, Friedemann
Publicado: (2023) -
Is the Sensorimotor Cortex Relevant for Speech Perception and Understanding? An Integrative Review
por: Schomers, Malte R., et al.
Publicado: (2016) -
Conceptual grounding of language in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubs
por: Garagnani, Max, et al.
Publicado: (2016)