Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 34 for “"Neural Representation"”.
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Neural Representation for robotics
… which lead to inaccurate or incomplete geometric representations. Neural representations have recently demonstrated exceptional capabilities in Novel View Synthesis (NVS), effectively handling many scenarios where conventional depth cameras struggle. Moreover, unlike traditional methods requiring …
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An efficient neural representation for videos
… tasks. Our dissertation proposes an innovative neural representation for videos called NeRV, which stores each video implicitly as a neural network. Building on NeRV, we introduce a hybrid representation for videos called HNeRV, which improves internal generalization and representation capacity. …
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Neural representation of speech segmentation and syntactic structure discrimination
Contains fulltext : 253751.pdf (Publisher’s version ) (Open Access)
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Neural Representation for 3D Building Reconstruction from Point Clouds
… aims to address these challenges and provide neurally-driven solutions for 3D digital twinning of buildings from APCs. To delineate an urban scene into object categories, PReFormer, a memory-efficient point transformer capable of achieving competitive segmentation results with fewer model …
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The Neural Representation of Polysemy: The Case of Dot-objects
… We present three experiments investigating the neural representation of three dot-object categories with clear concrete and abstract senses: print matter such as "book" (OBJECT • INFORMATION), meal concepts such as "lunch" (FOOD • EVENT), and institution such as "church" (BUILDING • …
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Towards Understanding Human-aligned Neural Representation in the Presence of Confounding Variables
Deep Neural Networks (DNNs) find one out of many possible solutions to a given task such as classification. This solution is more likely to pick up on spurious features and low-level statistical patterns in the train data rather than semantic features and highlevel abstractions, resulting in poor …
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Brain circuits for the representation of subjective reward value
… with each potential action. Delineating the neural circuits involved in this process remains an important goal in systems neuroscience. However, little is known about the neural circuits that compute, or represent, low level primary reward signals. We have combined quantitative psychophysical …
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Hyperspectral image compression using implicit neural representations
… data. In this thesis, we develop several neural compression-based methods for hyperspectral images. Our methodology relies on transforming hyperspectral images into implicit neural representations (INR), specifically neural functions that establish a correspondence between coordinates and …
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Mixed Selectivity via Unsupervised Learning in Neural Networks
… and are hypothesised to play important roles in neural computation. Recently, both experimental and theoretical work demonstrated the importance of mixed selectivity in context-dependent decision tasks. This thesis extends existing theoretical work on mixed selectivity, arguing for a general and …
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Multi-item memory in the primate prefrontal cortex
… cognition, yet almost nothing is known about its neural basis. To explore the mechanisms underlying this ability, we trained two monkeys to remember a sequence of two images across a short delay. We then recorded the activity of neurons from the lateral prefrontal cortex during task performance. …
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The oblique effect as a measure of digital media overuse
… the visual environment such that there is more neural representation in the visual cortex (area V1) for horizontal and vertical (anisotropic) contours than otherwise ((Hubel & Wisel, 1962). The oblique effect has developed in mammalian and non-mammalian species because of exposure to the visual …
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From thought to action
… In this three-part work, I study the neural representation of targets before reaching movements and the generation of prosthetic control signals through stochastic modeling and estimation. In the first part, I show that temporal and history dependence contributes to the representation …
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Neural Encoding of Complex Signals in the Healthy and Impaired Auditory Systems
<p>Individuals with sensorineural hearing loss (SNHL) typically experience difficulty in understanding speech. Our current knowledge of deficits in speech perception and encoding consequent to SNHL is restricted to psychophysical studies in humans and single-unit experiments in animals. However, …
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Face Shape and Reflectance Acquisition using a Multispectral Light Stage
… images for a psychology experiment exploring the neural representation of 3D shape and texture of a human face.
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Mirror Neurons are Modulated by Reward Expectation and Grip Force in the Sensorimotor Cortices (S1, M1, PMd, PMv)
… manual and observational trials. We found the neural representation of visually cued force was similar during observational trials and manual trials for the same units, however, the representation was weaker during observational trials. Comparing changes in neural time lags between manual and …
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Competition between visual stimuli in the monkey parietal cortex
… are associated with rewarding outcomes. In our neural representation of the visual world, stimuli are locked in a constant battle for spatial priority and a single winner must emerge each time an eye movement is to be made, though the mechanisms by which this winner emerges are unclear. In this …
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The role of real-world size in object representation
… in the world is a basic property of object representation with both behavioral and neural consequences. Specifically, I suggest that objects have a canonical visual size based on their real-world size (Chapter 2), and that we automatically access real-world size information when we recognize …
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Machine Learning for Reconstructing Dynamic Protein Structures from Cryo-EM Images
… a deep generative model parameterized by a new neural representation of cryo-EM volumes and a learning algorithm to optimize this representation from unlabeled 2D cryo-EM images. Released as an open source software tool, cryoDRGN has been applied on real datasets to uncover heterogeneity in high …
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Neural Encoding of Prior Experience in Sensorimotor Behavior
… gathered about the environment. At the neural scale, the effects of prior experience have been described by the theory of predictive processing in terms of efficient coding principles that govern the response properties of neurons. The major contribution of this thesis is to bridge these …
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Long-Term Consequences of Early Eye Enucleation on Audiovisual Processing
… behaviourally and in terms of the underlying neural representation. The over-arching goal is to better understand neural plasticity as a result of sensory deprivation. To achieve this I conducted seven experiments, divided into 5 experimental chapters, that focus on the behavioural and …
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