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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Bibliographic Details
Main Authors: Rajesh Amerineni, Resh S. Gupta, Lalit Gupta
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Brain Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3425/10/2/64