We developed a deep neural network model optimized to classify images and predict its own likelihood of being correct, and found that this model naturally ...
We developed a deep neural network model optimized to classify images and predict its own likelihood of being correct, and found that this model naturally ...
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Oct 7, 2021 · To address this, we developed a deep neural network model optimized to assess decision confidence directly given high-dimensional inputs such as.
May 2, 2018 · A deep neural network optimized for speech and music tasks performed as well as human listeners. The optimization produced separate music and speech pathways.
Performance-optimized neural network model of decision ...
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Perceptual confidence results from a metacognitive process which evaluates how likely our percepts are to be correct. Many competing models of perceptual ...
Nov 12, 2021 · We developed a deep neural network model optimized to assess decision confidence directly given high-dimensional inputs such as images.
Missing: Task- | Show results with:Task-
Our study unveils how the brain processes visual information to make such decisions with an assessment of confidence, using a model inspired by the visual ...
Performance-Optimized Neural Networks as an ... The model naturally accounts for a number of puzzling dissociations between decisions and confidence ...
Missing: Task- | Show results with:Task-
Popular models for the trade-off between speed and accuracy of everyday decisions usually assume fixed, low-dimensional sensory inputs.
May 2, 2018 · A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy.
Missing: Decision Confidence.