Reconstructing Visual Cognition
Understanding visual processing in the mind and brain has been a focus of cognitive science since its inception. Psychology, neuroscience, and computer science have all progressed towards this common goal, and rapid progress has been made across domains in recent years. To maintain the current rate...
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| Main Author: | |
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| Format: | Dissertation |
| Language: | English |
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ProQuest Dissertations & Theses
01-01-2019
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| Online Access: | Get full text |
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| Summary: | Understanding visual processing in the mind and brain has been a focus of cognitive science since its inception. Psychology, neuroscience, and computer science have all progressed towards this common goal, and rapid progress has been made across domains in recent years. To maintain the current rate of progress, new analytic techniques are necessary to integrate the strengths of neuroscience, psychology, and computational modeling of cognition and make three-way links across domains. Here, I present a model-based approach to neural reconstruction that integrates measurements of brain activity and behavior with cognitive computational modeling to access and visualize the representations underlying visual cognition in the primate brain. Focusing on deep neural network models of visual processing, I show that the internal representations of computational cognitive models can be reconstructed from brain activity to make model-based predictions about visual space, content, and behavior in humans and visual shape in non-human primates. Looking forward, this approach has the potential to define the algorithms and computations in the brain that give rise to cognition and behavior. |
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| ISBN: | 9781088315002 1088315003 |