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 21 for “"brain-machine interface"”.
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NANOSTRUCTURED COMPOSITE FILMS FOR BRAIN-MACHINE INTERFACE APPLICATIONS
… for developing energy-efficient, compact interfaces that integrate bioelectrical activity for personalized medicine. In this frame, advances in thin-film sensors and non-invasive signal processing enable wearable systems to monitor brain and peripheral neural activity [2] in view of the …
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Real-time brain-machine interface architectures : neural decoding from plan to movement
Brain-machine interfaces (BMI) aim to enable motor function in individuals with neurological injury or disease, by recording the neural activity, mapping or 'decoding' it into a motor command, and then controlling a device such as a computer interface or robotic arm. BMI research has largely …
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Brain-machine interface coupled cognitive sensory fusion with a Kohonen and reservoir computing scheme
… but that is based on the assumption that mind, brain and language can be represented using the mathematics and logic of the day without contradiction. We have some reservations regarding this statement, but unfortunately a proof is a task beyond the scope of this Ph.D. Finally, this data from …
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A brain-machine interface for investigating neural representations of navigation in a virtual environment
… the function of different regions of the brain, and the neurons therein. Novel methods are required for probing further beyond standard correlational and knockout analysis. The activity of one brain region might correlate with task relevant variables, and silencing this region can show its …
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Brain-Machine Interface for Reaching: Accounting for Target Size, Multiple Motor Plans, and Bimanual Coordination
<p>Brain-machine interfaces (BMIs) offer the potential to assist millions of people worldwide suffering from immobility due to loss of limbs, paralysis, and neurodegenerative diseases. BMIs function by decoding neural activity from intact cortical brain regions in order to control external devices …
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A modular neural interface for massively parallel recording and control : subsystem design considerations for research and clinical applications
The closed-loop Brain-Machine Interface (BMI) has long been a dream for clinicians and neuroscience researchers alike - that is, the ability to extract meaningful information from the brain, perform computation on this information, and selectively perturb neural dynamics in the brain for …
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Brain microelectrode array systems
… devices designed for intracortically recording brain activity in nonhuman primates, were developed and explored. Wire electrical discharge machining (EDM), chemical etching, micromilling, parylene deposition, and laser ablation were some of the processes employed to create distinctive …
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Moving fast : neural constraints in closed loop
… control. The use of neuronal decoders in the Brain Machine Interface setting is discussed; we introduce a real-time decoder of neuronal activity, and derive conditions for its stability in the presence of feedback. The framework developed in this thesis allows us to characterize the effect of …
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Design and validation of chronic research tools for an implantable closed-loop neurostimulator
… today provide high frequency Deep Brain Stimulation (DBS) for therapeutic modulation of diseased neural circuits. These devices are approved for the treatment of Parkinson's Disease, Essential Tremor and Dystonia, and are in clinical evaluations for Epilepsy and Depression. Despite …
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Mirror Neurons are Modulated by Reward Expectation and Grip Force in the Sensorimotor Cortices (S1, M1, PMd, PMv)
… influences M1 during manual, observational, and Brain Machine Interface (BMI) reaching movements. Previous work showed MN are modulated by subjective value. Here we expand on the above work utilizing two non-human primates (NHPs), one male Macaca Radiata (NHP S) and one female Macaca Mulatta (NHP …
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On Controlling a Pediatric Lower-Limb Exoskeleton Using Finite-State Machine and Electroencephalography
… therapy sessions. Integrating that with a brain-computer interface (BCI) could further optimize the learning process and accelerate motor function recovery. To address this need, the Laboratory for Non-Invasive Brain-Machine Interface Systems at the University of Houston in collaboration …
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Reduction of dimensionality of a cellular actuator array for driving a robotic hand
… extracted or transferred to the robot, such as brain machine interface and tele-operation.
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Glucose-powered neuroelectronics
… the feasibility of one such system: A brain-machine interface powered by a bioimplantable fuel cell that harvests energy from extracellular glucose in the cerebrospinal fluid surrounding the brain. The first part of this thesis describes a set of biomimetic algorithms and low-power …
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Neural speech tracking in quiet and noisy listening environments using naturalistic stimuli
… seek to understand which speech features drive brain responses measured from the scalp. The purpose of the third analysis is to understand whether the predictions from our encoding model are generalizable to different types of stimuli. Our results demonstrated that model performance was more …
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Methods toward improved lower extremity rehabilitation
… to robot-applied elastic loads and closed-loop brain-machine-interface (BMI) control during treadmill locomotion. Using the Point Process-Generalized Linear Model (PP-GLM) statistical framework we systematically tested parametric and non-parametric point process models of increased complexity …
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Events prediction in electroencephalographic signals
Brain Machine Interface (BMI) or Brain Computer Interface (BCI) technologies provide the prospect of regenerating or replacing functions lost due to motor disabilities. BCIs connect the brain to a computer which translates the electrical activity of the brain into commands used to control external …
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Neural Dynamics of Mental Imagery, Visual Perception, and Rapid Eye Movement Sleep
… neural activity between different areas of the brain during REM sleep and awake activities. One theory suggests that dreaming, which occurs predominantly during REM sleep, may be a mechanism for humans to incorporate information learned during the day, reflecting the memory consolidation …
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Flexible sensors for high-quality recording and human-computer interface
Human-computer interfaces have been widely developed to bridge the gap in information transmission and enable the interaction between humans and computers. It provides unique opportunities to understand, augment, assist and repair the cognitive, sensory, and motor functions. Due to the soft nature …
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Human control of robots over discrete noisy channels with high latency: toward efficient EEG-based brain-robot interfaces
… thesis presents a framework for the design of interfaces that can only obtain noisy and discrete inputs at high latency from a human user (e.g., with an electroencephalograph) to control a robotic system (e.g., a robotic wheelchair) that can provide visual feedback. In this framework, the human …
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Encoding and Decoding of Pain Relief in the Human Brain
… pain and its relief are represented in the human brain. Pain and relief are important survival signals that motivate escape from danger and search for safety, however, they are often evaluated by subjective descriptions only. Studying how humans learn and adapt to pain and relief allows objective …
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