Browsing Theses by Subject "spiking neural networks"
Now showing items 1-4 of 4
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Biologically inspired methods in speech recognition and synthesis: closing the loop
(University of Waterloo, 2016-02-18)Current state-of-the-art approaches to computational speech recognition and synthesis are based on statistical analyses of extremely large data sets. It is currently unknown how these methods relate to the methods that ... -
Driving Scene Understanding using Spiking Neural Networks
(University of Waterloo, 2022-01-24)One of the applications of AI lies in developing intelligent systems for safe on-road driving, other than building and perfecting self-driving vehicles, and many others. Driving Scene Understanding (DSU) is one such area ... -
Learning in large-scale spiking neural networks
(University of Waterloo, 2011-08-31)Learning is central to the exploration of intelligence. Psychology and machine learning provide high-level explanations of how rational agents learn. Neuroscience provides low-level descriptions of how the brain changes ... -
Spiking Deep Neural Networks: Engineered and Biological Approaches to Object Recognition
(University of Waterloo, 2018-01-08)Modern machine learning models are beginning to rival human performance on some realistic object recognition tasks, but we still lack a full understanding of how the human brain solves this same problem. This thesis combines ...