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 48 for “"neuroengineering"”.
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Neuroengineering of Clustering Algorithms
<p>"Cluster analysis can be broadly divided into multivariate data visualization, clustering algorithms, and cluster validation. This dissertation contributes neural network-based techniques to perform all three unsupervised learning tasks. Particularly, the first paper provides a comprehensive …
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Advanced Bioelectronic and Microphysiological Systems for Functional Studies of Stem Cell-Derived Neural Models
… Together, these platforms advance the field of neuroengineering by enabling scalable, non-invasive, and longitudinal interrogation of complex neural tissues, with implications for disease modelling, drug screening, and personalised medicine.
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Electrophysiological Recording of the Brain, Visualization, Prediction, and Interconnectivity
… neurons. The aim of neuroscience and neuroengineering is to decode the neural activity, visualize it and try to better understand how neurons communicate with each other. This dissertation comprises four contributions to the area. These four topics are discussing how functional …
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Characterizing Neurotransmitter Receptor Activation with a Perturbation Based Decomposition Method
<p>The characterization of postsynaptic potentials, in terms of neurotransmitter receptor activation, is of clinical significance because information associated with receptor activation can be used in the diagnosis and study of neurological disorders. Single-unit recordings provide a method of …
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Implementation of Novel Group Delay Decomposition Method and Surgical Protocol for Assessing Peripheral Neuropathy
<p>This paper outlines a surgical procedure for exposing and stimulating the sciatic nerve of an anesthetized rodent for purposes of obtaining conduction velocity readings. The ability to accurately quantify nerve conduction velocity has potential for use in the field of diagnostic medicine and …
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Using convolutional neural networks for fine grained image classification of acute lymphoblastic leukemia
<p>Acute lymphoblastic leukemia (ALL) is a cancer of bone marrow stems cells that results in the overproduction of lymphoblasts. ALL is diagnosed through a series of tests which includes the minimally invasive microscopic examination of a stained peripheral blood smear. During examination, …
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Analysis of Eye Movements to Cartoon Faces in Videos
<p>Saccades are rapid eye movements that move our gaze between successive points of fixation. They are indicative of how we direct our attention and therefore play a role in memory and cognition. For static images, it is established that saccades move faster to faces compared to other objects. We …
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Improving Golf Putt Performance with Statistical Learning of EEG Signals
<p>In this thesis, a machine learning based method is proposed to predict the putt outcomes of golfers based on their electroencephalogram (EEG) data. The method can be used as a core building block of a brain-computer interface, which is designed to provide guidance to golf players based on their …
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Examining the emergent properties of neuronal networks towards the creation of oscillatory biological machines
Made available in DSpace on 2018-03-13T17:28:55Z (GMT). No. of bitstreams: 2 LIU-DISSERTATION-2017.pdf: 6306728 bytes, checksum: 9cff0e840219845c90be2adfe5688a53 (MD5) LICENSE.txt: 4207 bytes, checksum: b44f37e1a190e4e9c44fe34c91f0ed34 (MD5) Previous issue date: 2017-08-10
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fMRI assessment of ischemic stroke in humans
Cerebral ischemia, or brain ischemia is a kind of stroke where the blood flow is insufficient to the metabolic demand of brain. The lack of oxygen supply will directly lead to the death of brain tissue. There are two major injury regions: the infarct and penumbra. Mostly, since the infarct regions …
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Neuro-Silicon Interface of a Hirudo medicinalis Retzius Cell Integrated with Field Effect Transistor
<p>The focus of this thesis was to measure the intracellular voltage of a living neural cell using a silicon transistor. The coupling of neurological tissues with silicon devices is of interest to the fields of neurology, neuroscience, electrophysiology and cellular biology. In previous work by …
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Identifying and Predicting Rat Behavior Using Neural Networks
<p>The hippocampus is known to play a critical role in episodic memory function. Understanding the relation between electrophysiological activity in a rat hippocampus and rat behavior may be helpful in studying pathological diseases that corrupt electrical signaling in the hippocampus, such as …
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NANOSTRUCTURED COMPOSITE FILMS FOR BRAIN-MACHINE INTERFACE APPLICATIONS
… and M. Mahmud, ‘Trends and Challenges in Neuroengineering: Toward “Intelligent” Neuroprostheses through Brain-“Brain Inspired Systems” Communication’, Front. Neurosci., vol. 10, Sep. 2016, doi: 10.3389/fnins.2016.00438. [2] A. Mikhaylov et al., ‘Neurohybrid Memristive CMOS-Integrated …
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Characterization of the high frequency alternating current block in the rat sciatic nerve using cuff electrodes and macro-sieve electrodes
<p>Tripolar cuff electrodes were designed, fabricated and non-chronically implanted in the sciatic nerve of two-month-old Lewis rats. A proximal constant current stimulus to the nerve was blocked by applying a high frequency sinusoidal signal to the distally placed tripolar cuff electrode. The …
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Modulation of motor learning with high-intensity transcranial electric stimulation
<p>Research thus far on noninvasive, transcranial electric stimulation have produced mixed results from <em>in vivo</em> human experiments. This work tests the hypothesis that applying higher stimulation intensities would induce intracranial electric fields that more closely match the higher …
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tDCS effects on synaptic plasticity and motor skill learning
<p>Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique that involves the application of low-intensity constant current to the brain through electrodes placed on the scalp. Its potential to enhance brain function and treat brain-related disorders has led to …
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A novel visual stimulation paradigm: exploiting individual primary visual cortex geometry to boost steady state visual evoked potentials (SSVEP)
<p>The steady-state visual evoked potential (SSVEP) is an electroencephalographic response to flickering stimuli generated in significant part by activity in primary visual cortex (V1). SSVEP signal-to-noise ratio is generally low for stimuli that are located in the visual periphery, at frequencies …
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Wearable Disposable Elecetrotherapy
<p>Non-invasive electrotherapies offer promising treatments for a wide range of conditions such as pain, headaches, depression, addiction, cognitive decline, wound healing, and drug delivery. However, patient compliance remains low due to the high initial cost, cumbersomeness and inconvenience of …
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