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 8 of 8 for “"Neural Signal Processing"”.
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Reconfigurable System-on-Chip Architecture for Neural Signal Processing
… is tied to the efficiency of its individual processing elements such as spike detection, sorting and decoding. To achieve reliable operation, BMIs are equipped with hundreds of electrodes at the neural interface. While a single electrode/tetrode communicates with up to four neurons at a given …
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Generative models for neural time series with structured domain priors
… to research in the intersection of statistical signal processing and neuroscience (neural signal processing), my research advisor, Professor Emery N. Brown, explained at length that the signals from seemingly complex neural/biological systems are not purely random, but rather those that have …
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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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Developing a Neural Signal Processor Using the Extended Analog Computer
Neural signal processing to decode neural activity has been an active research area in the last few decades. The next generation of advanced multi-electrode neuroprosthetic devices aim to detect a multiplicity of channels from multiple electrodes, making the relatively time-critical processing …
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The Mechanisms And Roles Of Feedback Loops For Visual Processing
Signal flow in the brain is not unidirectional; feedback represents a key element in neural signal processing. To address the question on how do neural feedback loops work in terms of synapses, microcircuitry, and systems dynamics, we developed a chick midbrain slice preparation to study and …
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Design Techniques for Embedded Computer Vision and Signal Processing
… systems for embedded computer vision and signal processing. The techniques are developed to address concerns of real-time processing efficiency and energy efficiency under resource-constrained operation as well accuracy considerations, which are conventionally associated with the …
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NANOSTRUCTURED COMPOSITE FILMS FOR BRAIN-MACHINE INTERFACE APPLICATIONS
… technologies, fostering information flow and processing between natural and artificial components [1] are essential for developing energy-efficient, compact interfaces that integrate bioelectrical activity for personalized medicine. In this frame, advances in thin-film sensors and non-invasive …
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A Neural Signal Processor for Low-Latency Spike Inference
… is a Field-Programmable Gate Array (FPGA)-based Neural Signal Processor (NSP) that receives raw input and generates labelled spikes as output, a process referred to as real-time spike inference. The second is a piece of software (Spiketag) that runs on a PC, communicates with the NSP, and …