Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification

Expectation learning is a unsupervised learning process which uses multisensory bindings to enhance unisensory perception. For instance, as humans, we learn to associate a barking sound with the visual appearance of a dog, and we continuously fine-tune this association over time, as we learn, e.g.,...

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Detalles Bibliográficos
Autores principales: Barros, Pablo, Eppe, Manfred, Parisi, German I., Liu, Xun, Wermter, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806099/
https://www.ncbi.nlm.nih.gov/pubmed/33501152
http://dx.doi.org/10.3389/frobt.2019.00137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806099/
https://www.ncbi.nlm.nih.gov/pubmed/33501152
http://dx.doi.org/10.3389/frobt.2019.00137

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