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.
Results
Showing 1 to 18 of 18 for “"neural decoding"”.
-
The Use of High-Density ECoG for Functional Mapping and Neural Decoding
… high-density ECoG in HFB can effectively drive a neural prosthetic to perform hand flexion/extension. Isometric hand squeezing was also studied. Strong correlations between the squeezing force and HFB modulations were discovered. However, subband power modulations were discovered to be only …
-
Real-time brain-machine interface architectures : neural decoding from plan to movement
… 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 focused on the problem of restoring the original motor function. The goal therefore …
-
Characterizing the spatiotemporal profile and the level of abstractness of action representations: neural decoding of magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) data
… Study 2, we tested the temporal dynamics of the neural decoding related to the oscillatory activity induced by observation of actions performed with different effectors (hand, foot). We observed that temporal regions are able to discriminate all the presented actions before effector-related …
-
Design Techniques for Embedded Computer Vision and Signal Processing
… areas for efficient deep learning — (1) neural decoding and (2) object detection from multi-view images, such as those acquired from unmanned aerial vehicles (UAVs).To address the challenges of efficient deep learning systems, we apply dataflow-based methods for design and implementation …
-
From thoughts to actions: cracking the neural code across scales and modalities
Understanding how neural activity encodes cognitive and behavioral statescould lead to breakthroughs in the development of brain-computer interfaces and transform the lives of patients suffering from neurological and neuromotor disorders. Despite progress, establishing robust mappings between …
-
Methods for studying the neural code in high dimensions
… linear models. In chapter 3 I study the neural decoding problem of predicting stimuli from neuronal responses. The focus is on reconstructing zebra finch song spectrograms, which are high-dimensional, by combining the spike trains of zebra finch auditory midbrain neurons with information …
-
Replay of memories of extended behavior in the rat hippocampus
… In this thesis, we develop a probabilistic neural decoding approach that allows us to show that firing sequences corresponding to long runs through a large environment are replayed with high fidelity (in both forward and reverse order). We show that such replay can begin at remote locations …
-
Integrated Wearable Devices for Prosthetic Applications
… of providing accurate sensing and reliable decoding of human intentions. Although technological advances continue, prosthetic abandonment remains a major problem, as current technologies and control strategies for prosthetic hands limit people's dexterity, making daily activities burdensome. …
-
Interactions between anterior thalamus and hippocampus during different behavioral states in the rat by Héctor Penagos.
… before and after track running. We employ a neural decoding algorithm to interpret spiking activity in terms of spatial correlates during wake and REM. We analyze multi unit activity (MUA) to characterize the organization of thalamic and hippocampal populations during SWS. Consistent with …
-
Glucose-powered neuroelectronics
… and low-power circuit architectures for decoding electrical signals from ensembles of neurons in the brain. The decoders are intended for use in the context of neural rehabilitation, to provide paralyzed or otherwise disabled patients with instantaneous, natural, thought-based control of …
-
Cortico-thalamic interactions for head direction coding
… tetrode recordings in behaving mice. Through neural decoding, I show that RSC HD representation is synchronous with that of ADn, not only during the visually-guided HD reference update, but also in darkness. This coordination is supported by strong feedforward functional connectivity in the …
-
Seeing Beyond Limits with Physics-Informed Priors
… imaging as an interplay of optical encoding and neural decoding. It models forward physical processes and iteratively refines them using deep denoisers. By embedding physics-informed priors into this optimization, it aims to surpass conventional limits in dimensionality and visibility. First, I …
-
Brain-Machine Interface for Reaching: Accounting for Target Size, Multiple Motor Plans, and Bimanual Coordination
… and neurodegenerative diseases. BMIs function by decoding neural activity from intact cortical brain regions in order to control external devices in real-time. While there has been exciting progress in the field over the past 15 years, the vast majority of the work has focused on restoring of …
-
High dimensional information processing
… in theoretical neuroscience involve optimal decoding and the computation of Shannon information rates in populations of spiking neurons. In this paper, we apply methods from the asymptotic theory of statistical inference to obtain a clearer analytical understanding of these quantities. We …
-
Reasoning Across Language and Vision in Machines and Humans
<p>Humans not only outperform AI and computer-vision systems, but use an unknown computational mechanism to perform tasks for which no suitable approaches exist. I present work investigating both novel tasks and how humans approach them in the context of computer vision and linguistics. I …
-
A comparison of imaging modalities and decoding methods for detecting semantic information in the brain
… framework with which to describe the nature of neural representations, including semantic representations; (2) to assess and compare the capacities of electrocorticography (ECoG) and 7 tesla functional magnetic resonance imaging (7T-fMRI) to detect semantic representations; and (3) to evaluate …
-
Exploring the neural mechanisms underlying the speech processing and phonological deficits that characterise individuals with dyslexia
… this thesis is to gain deeper insights into the neural mechanisms underlying dyslexia within the framework of Temporal Sampling (TS) theory, by focusing on adults. The study involved 48 adult English speakers, comprising 24 individuals with dyslexia and 24 controls without dyslexia. A …