Browsing Systems Design Engineering by Subject "computational neuroscience"
Now showing items 1-5 of 5
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Biologically Inspired Spatial Representation
(University of Waterloo, 2020-10-08)In this thesis I explore a biologically inspired method of encoding continuous space within a population of neurons. This method provides an extension to the Semantic Pointer Architecture (SPA) to encompass Semantic Pointers ... -
Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons
(University of Waterloo, 2018-01-09)Hierarchical categorization inter-leaved with sequence recognition of incoming stimuli in the mammalian brain is theorized to be performed by circuits composed of the thalamus and the six-layer cortex. Using these circuits, ... -
Contour Integration in Artifical Neural Networks
(University of Waterloo, 2022-02-08)Under difficult viewing conditions, the brain's visual system uses a variety of modulatory techniques to supplement its core feedforward signal. One such technique is contour integration, whereby contextual stimuli from ... -
An Integrated Model of Contex, Short-Term, and Long-Term Memory
(University of Waterloo, 2018-07-27)I present the context-unified encoding (CUE) model, a large-scale spiking neural network model of human memory. It combines and integrates activity-based short-term memory with weight-based long-term memory. The ... -
Observe, Predict, Adapt: A Neural model of Adaptive Motor Control
(University of Waterloo, 2024-01-24)Biological control systems have evolved to perform efficiently in an environment characterized by high uncertainty and unexpected disturbances, while relying on noisy sensors and unreliable actuators. Despite these ...