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 56 for “"Neural signals"”.
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Locating and extracting acoustic and neural signals
… (TR) algorithm to pinpoint the hyper active neural activities inside the brain auditory structure that are correlated to the tinnitus pathology. Specifically, an acoustic modeling based method is developed for locating arbitrary and incoherent sound sources in 3D space in real time by using a …
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Machine-Learning-Based Approach to Decoding Physiological and Neural Signals
… powerful tools in decoding physiological and neural signals. The aim of this dissertation is to develop computational tools, and especially machine learning techniques, to identify the most effective methods for feature extraction and classification of these signals. This is particularly …
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Reading Your Own Mind: Dynamic Visualization of Real-Time Neural Signals
… the ability to both capture and interpret brain signals. Further advancing BCI systems is a compelling goal both because of the neurophysiology insights gained from deriving a control signal from brain activity and because of the potential for direct brain control of external devices in …
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Using the piezoelectric backscatter signal for remote sensing of neural signals
In recent studies, various methods to sense neural signals are used and new methods for remote sensing of neural signals are being developed. However, there are still major difficulties in building long-term implantable neural interface systems that can reliably record neural activity and serve as …
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Linear control model of the spinal processing of descending neural signals
… model of the spinal processing of descending neural kinematic motor control signals in the bullfrog (Rana Catesbeiana). The model encompasses the full nonlinear skeletal dynamics of the femur/tibiofibula/tarsus system in the horizontal plane, its muscles, and spinal monosynaptic stretch …
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Acquisition systems and decoding algorithms of peripheral neural signals for prosthetic applications
… link between the brain in which the significant signals are generated and a motor prosthesis device able to perform the desired action. Moreover, the designed system must be able to give back to the brain a sensory feedback about the surrounding world in terms of pressure or temperature acquired …
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State Space Methods Using Biologically-Relevant Generative Models to Analyze Neural Signals
Neural oscillations have long been recognized for their mechanistic importance in coordinating activity within and between brain circuits. Co-occurring broad-band, non-periodic signals are also ubiquitous in neural data and are thought to reflect the characteristics of population-level neuronal …
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Neural prosthetics for paralysis : algorithms and low-power analog architectures for decoding neural signals
… system developed in the present work interprets neural signals from the parietal cortex encoding arm movement intention, suggesting that the system could function as the decoder in a neural prosthetic limb, potentially enabling a paralyzed person to control an artificial limb just as the natural …
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NEURAL SIGNALS UNDERLYING COORDINATE FRAME OF ATTENTION IN AREA 7a OF PRIMATE POSTERIOR PARIETAL CORTEX
… sensory information and transforms it into signals enabling the coordination of motor actions. The allocation of visual attention is a necessary part of this process and posterior parietal area 7a is one of the main areas thought to mediate it. When 7a is compromised, disruptions such as …
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Interactions Between Medical Prefrontal Cortex, Orbitofrontal Cortex and Motor Cortex in Value-based Decision Making
… to value-based decision making, by comparing neural signals related to animal’s choice, its outcome, and action value in orbitofrontal cortex (OFC) and medial prefrontal cortex (mPFC) of rats performing a dynamic two-armed bandit (TAB) task. And we also examined neuronal activity in the …
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Strategies for control of neuroprostheses through Brain-Machine Interfaces
… a means of inferring their motor intent from neural signals and commanding a robotic device that can be controlled to perform as a smart prosthesis. In our recent demonstration of such Brain Machine Interfaces (BMIs) monkeys were able to control a robot arm in 3-D motion directly, due to …
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A Prototype Device for Isolating and Wirelessly Transmitting Neural Action Potentials
… carries out memory research by recording neural signals from laboratory animals with a wire tethering the animal to nearby signal conditioning and recording equipment. A wireless neural signal recording system is desirable because it removes the cumbersome wires from the animal, allowing …
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EMG-based determination of upper extremity virtual trajectory
… system. This interaction is nothing but the neural signals. Neural signals are electrical in nature and referred as action potentials. An EMG is a summation of action potentials from the muscle fibers under the electrode placed on the skin. Thus it is easy to estimate the nature and timing of …
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An ultra low power implantable neural recording system for brain-machine interfaces
… gradually understand and unlock the secrets of neural coding. This scientific advancement has shown great promise for successful development of practical brain-machine interfaces (BMIs) to restore lost body functions to patients with disorders in the central nervous system. Practical BMIs …
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Carbon fiber electrodes for in vivo neural recording
Multi-channel micro electrodes for neural recording is a growing field that thrives on novel materials and fabrication techniques offered by micro fabrication technology. The material and the design of microelectrodes have a critical role on the quality of neural signals recorded. The neural …
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Biological applications, visualizations, and extensions of the long short-term memory network
… on biological tasks pertaining to physiological signals, peripheral neural signals, and molecules. This goal drives the three subplots in this thesis: biological applications, visualizations, and extensions. We start by demonstrating the utility of LSTMs for biological applications. On two new …
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Representation Learning on Large-Scale Neural and Healthcare Data: A Practitioner’s Perspective
… both critical and practical challenges in neural signal processing and healthcare predictive modeling. For neural signal processing, we first strive to bridge the gap of the fast-increasing scale of data acquisition in neural recording and the limited bandwidth of data links for …
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Wireless Neural Recording and Stimulation SoCs for Monitoring and Treatment of Intractable Epilepsy
… epilepsy. The first prototype SoC is a neural recording interface intended for wireless monitoring of intractable epilepsy. The 0.13um CMOS SoC has 64 recording channels, 64 programmable FIR filters and an integrated 915MHz FSK PLL-based wireless transmitter. Each channel contains a …
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A stochastic control framework for the design of observational brain-computer interfaces based on human error potentials
… to interact with exogenous systems through neural signals. The goal of this interaction may be to induce behaviors or properties in either the exogenous system or the human subject. In this thesis, we develop a novel framework for designing BCIs based on principles from adaptive control. In …
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Ingestible Electronics for High Quality Gastric Neural Recordings
… highlighted the importance of the electrical signals that regulate the gastrointestinal (GI) tract. Current systems for measuring neural signals from the GI tract involve acute, invasive procedures that change the underlying electrical behaviors or cutaneous recordings which measure highly …
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