Towards Systematic Vision: Limits of Convolutional Neural Networks and Future Directions in Oscillatory Coding

Ricci, Matthew

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Year:: 2020
Contributor:: Ricci, Matthew (creator); Serre, Thomas (Advisor); Bienenstock, Elie (Reader); Frank, Michael (Reader); Harrison, Matthew (Reader); Brown University. Department of Cognitive, Linguistic, and Psychological Sciences (sponsor)
Genre:: theses
Subject:: dynamical systems; Cognitive science; Neural networks (Computer science); Computational neuroscience; Deep Learning; kuramoto model; Statistical physics
Extent:: 15, 250 p.

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Abstract:: It is argued that convolutional neural networks (CNNs) struggle to represent the relations among items in a visual scene efficiently. We claim this is a deficiency in systematic reasoning and seek to ameliorate this problem with principles from neural dynamics. Theoretical and experimental evidence is provided indicating that systematic cognition depends on oscillatory cortical processes. A general machine learning procedure for phase-reduced oscillator networks is explored and applied to problems relevant to systematic reasoning.
Notes:: Thesis (Ph. D.)--Brown University, 2020

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Citation

Ricci, Matthew, "Towards Systematic Vision: Limits of Convolutional Neural Networks and Future Directions in Oscillatory Coding" (2020). Cognitive, Linguistic, and Psychological Sciences Theses and Dissertations. Brown Digital Repository. Brown University Library. https://repository.library.brown.edu/studio/item/bdr:f2hd5gs3/

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Cognitive, Linguistic, and Psychological Sciences Theses and Dissertations

Theses and Dissertations for the Cognitive, Linguistic, and Psychological Sciences department.
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