CINET: A Brain-Inspired Deep Learning Context-Integrating Neural Network Model for Resolving Ambiguous Stimuli

The brain uses contextual information to uniquely resolve the interpretation of ambiguous stimuli. This paper introduces a deep learning neural network classification model that emulates this ability by integrating weighted bidirectional context into the classification process. The model, referred t...

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Detalles Bibliográficos
Autores principales: Amerineni, Rajesh, Gupta, Resh S., Gupta, Lalit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071366/
https://www.ncbi.nlm.nih.gov/pubmed/31991649
http://dx.doi.org/10.3390/brainsci10020064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071366/
https://www.ncbi.nlm.nih.gov/pubmed/31991649
http://dx.doi.org/10.3390/brainsci10020064

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