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 80 for “"Neural systems"”.
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Self-Modeling Neural Systems
… work, we consider whether it is possible for a neural system that obeys certain biological constraints to solve optimal control problems. We exhibit a simple method to train a different kind of internal model, a neural network model of the Jacobian of the plant, and we integrate the internal …
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Dynamics and precursor signs for phase transitions in neural systems
This thesis investigates neural state transitions associated with sleep, seizure and anaesthesia. The aim is to address the question: How does a brain traverse the critical threshold between distinct cortical states, both healthy and pathological? Specifically we are interested in sub-threshold …
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Neural systems supporting enhanced peripheral visual attention in deaf adults
Neural plasticity, the ability of neural tissue to adapt to a number of environments, is considered a defining characteristic of the brain. However, plasticity is poorly understood at the systems level. The exact limits of neural plasticity, which areas can adapt and what functions they can …
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The Capabilities of Neural Systems Depend on a Hierarchically Structured World
… how to replicate it in artificial intelligence systems. Here I propose a general framework to understand how cognitive processes can be encoded by networks of interconnected neurons. I have taken a theoretical and computational approach, using artificial neural networks as a high-level …
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Capillary electrophoresis instrumentation and applications for the analysis of neural systems
… which provide a platform for the study of neural systems. Here, CE systems using laser-induced, native-fluorescence (LINF) detection are described along with its applications for neural analysis across a variety of metazoan life. Selective detection of analytes after separation allows for …
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Neural systems involved in delay and risk assessment in the rat
… is a complex problem, and little is known of the neural mechanisms that bridge such delays. Impulsive choice, one aspect of impulsivity, is characterized by an abnormally high preference for small, immediate rewards over larger delayed rewards, and is a feature of attention-deficit/hyperactivity …
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Magnetoencephalographic studies of neural systems associated with higher order processes in humans
… a) there are early latency face-specific neural systems in humans that are predominantly in right inferior occipito-temporal cortex, b) MEG recordings are useful in the study of autism, in that autistic subjects exhibit different responses to normal subjects following face presentation, c) …
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The neural systems supporting human intelligence, as measured by lesion analysis, task activation, and resting state connectivity
DSpace SAF Submission Ingestion Package generated from Vireo submission #14313 on 2020-02-28 at 17:19:46
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Multiphoton imaging and control of opsins in living neural systems by spectral-temporal modulation of a supercontinuum source
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-08-01
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Characterisation of the role of peripheral μ-opioid receptors in the behavioural effects of heroin and their underlying neural systems in the rat
… influence peripheral μ-opioid receptor-dependent systems before they reach the brain. In humans, interoception, the bottom-up sensing and integration of physiological signals arising from outside the central nervous system which depends on the insular cortex, is involved in opioid use disorder …
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A Heterosynaptic Spiking Neural System for the Development of Autonomous Agents
Artificial neural systems for computation were first proposed three quarters of a century ago and the concepts developed by the pioneers still shape the field today. The first generation of neural systems was developed in the nineteen forties in the context of analogue electronics and the …
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Robust hardware elements for weightless artificial neural networks
… hardware elements for weightless artificial neural systems with a bias towards high integrity avionics applications. The author initially reviews the building blocks of physiological neural systems and then chronologically describes the development of weightless artificial neural systems. …
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Nonlinear Dynamics, Synchronisation and Chaos in Coupled FHN Cardiac and Neural Cells
Physiological systems are amongst the most challenging systems to investigate from a mathematically based approach. The �eld of mathematical biology is a relatively recent one when compared to physics. In this thesis I present an introduction to the physiological aspects needed to gain access to …
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Devleopmnet of Distriubted Nueral Sysetms for Readnig in Heatlhy and Brian-Injrued Chlidren (If you can read this, you have a well-developed whole word reading system. It should read Development of Distributed Neural Systems for Reading in Healthy and Brain-Injured Children)
… have suggested separate, yet interacting, neural pathways may underlie these strategies to reading. Children developing expertise in reading may show a concomitant decrease in reliance on posterior phonological systems supporting decoding as well as an increase in specialization of visual …
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Dynamics and learning in recurrent neural networks
… is a study of dynamics and learning in recurrent neural networks. Many computations of neural systems are carried out through a network of a large number of neurons. With massive feedback connections among these neurons, a study of its dynamics is necessary in order to understand the network's …
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Cognitive Neurostimulation: Learning to Volitionally Invigorate Mesolimbic Reward Network Activation
… -- a precise and non-invasive stimulation of neural systems via cognitive and behavioral strategies. And if not, can they be taught to do so? Recent technological advances make it feasible to present human participants with information about ongoing neural activations in a fast and spatially …
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Bad Data, Good Representations: Transferable Embeddings of Heterogeneous, Unordered, and Incomplete Datasets
The challenge of enabling neural systems to effectively process complex, irregular data structures remains largely unresolved. While recent advances in deep learning have delivered remarkable success in domains with well-structured inputs--such as computer vision and natural language …
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Ovarian Hormone Modulation of Learning Strategy Preferences: A Role for Hippocampal Disinhibition
… use a unique approach to the study of cognitive neural systems, a field dominated by studies using pharmacological manipulations in male rats. In contrast, these studies demonstrate how ovarian hormones change the balance of neural systems such that changes in learning strategies are observed.
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