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 27 for “"Spike trains"”.
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Manipulations of spike trains and their impact on synchrony analysis
… from the noisy recordings (referred to as spike sorting) and assessing the significance of the synchrony. This dissertation addresses these issues with two complementary strategies, both founded on the manipulation of point processes under rigorous analytical control. On the one hand I …
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Estimating light edge velocity based on retinal ganglion cell spike trains
This thesis is intended to present a specific sub-problem of a larger one we call the 'Inverse Problem'. We wish to estimate the velocity (speed and direction) of an edge of light which is moving on the photoreceptor layer of a rabbit retinal patch. We make these estimates based solely on the …
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Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees
… to identify causal relationships between neural spike trains in electrode recordings, but have been doing so with correlation measures and measures based on Granger causality. We discuss why these methods are not robust, and do not have statistical guarantees. We use a point process GLM model and …
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Models and analysis of a stochastic neural source coder
… neurons takes place through action potentials (spikes) which are metabolically expensive. A neural coding approach was developed by Johnson et al. (2016) that is optimal, high-fidelity, energy-efficient and well matches the experimental spiking behavior of real neurons. This coder, called a …
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Development of spike train algorithms for physiotherapy assessment using deep learning approaches
… and robustness. This research proposed a spike train feature extraction for physiotherapy assessment to enhance the patient's progression. However, the concerns are how capable is spike trains in achieving high accuracy as other related works on recognising and assessing rehabilitation …
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On Modeling Order and Structure With Applications to Computer Vision and Time Series Data
… in several scenarios, namely, modeling neural spike trains for learning structure of data transmission in the brain, arrival times at nodes for learning the structure of queuing networks, etc. We develop techniques for sampling, inference and structure learning of Poisson networks.
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Multifractal Complexity of Hippocampal Memory Processing
… and consequently are detectable in spike trains of hippocampal neurons. This dissertation focuses on strengthening the association of neurophysiological forms of learning, memory and plasticity with fractal and multifractal complexity of interspike interval sequences recorded during …
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Minimum-error, energy-constrained source coding by sensory neurons
… into a sequence of action potentials, called a spike train. The principles which underly the translation from signal to spike train are still under investigation. From the perspective of an organism, neural codes which maximize the fidelity of the encoded signal (minimize encoding error), …
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A Neural Signal Processor for Low-Latency Spike Inference
… in multi-electrode recordings, at single-spike resolution with low-latency. The system has two parts. The first 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 …
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Retinal ensemble coding under dynamic conditions
Spike trains of retinal ganglion cells transfer visual information from the eye to the brain. Since natural scenes comprise several visual features, this study investigates how the activity of retinal ganglion cells encodes motion information under dynamic light intensity conditions. Multiple …
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Neural response variability in the navigational system of the brain
… population recordings contain high dimensional spike trains that are generally not interpretable to the naked eye. To progress in making sense of neural data, a fundamental statistic is the instantaneous firing rate of a neuron, which has helped reach groundbreaking insights into how the brain …
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Response properties of neighboring neurons in the auditory midbrain
… cats, we successfully reconstructed individual spike trains for 190 neurons at 52 recording sites.
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Fast reconstruction of motion from multielectrode records of retinal ganglion cells
… Dieser Kode ist in den Aktionspotentialfolgen (Spike Trains) retinaler Ganglienzellpopulationen repräsentiert und wird über den optischen Nerv an das Gehirn übertragen. Die hohe Geschwindigkeit dieses Prozesses spiegelt die Herausforderung durch die Natur wider, welcher das visuelle System durch …
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Autonomous cricket biosensors for acoustic localization
… stimuli and the neurological responses known as spike trains, which they elicit. The degree of habituation to repeated signals that exists in most neurological systems was also experimentally measured. We process the signals to estimate frequency and directionality of near field acoustic sources. …
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A study of synchronization of nonlinear oscillators: Application to epileptic seizures
… to visualize the idea of the power spectrum of spike trains, which has an educational value to introductory students in biophysics. The next part consists of experimental and computational work on drug-induced epileptic seizures in the rat neocortex. In the experimental part, spatiotemporal …
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Methods for studying the neural code in high dimensions
… which are high-dimensional, by combining the spike trains of zebra finch auditory midbrain neurons with information about the correlations present in all zebra finch song. I use a GLM to model neuronal responses and a series of prior distributions, each carrying different amounts of …
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LGN activity patterns during ocular dominance plasticity in vivo
… dLGN. Instead, MC alters the pattern of neural spike trains such that there is a decrease in simultaneous firing of neighboring neurons. Moreover, the elimination of visual input from the retina, a form of deprivation which does not lead to deprived-eye depression, leads to a dramatic increase …
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Image Compression and Channel Error Correction using Neurally-Inspired Network Models
… transmits visual information to the brain as trains of discrete events, a low-power, low-bandwidth communication channel also exploited by silicon retina cameras. Extracting high-fidelity visual input from retinal event trains is thus a key challenge for both computational neuroscience and …
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Applications of jump processes in epidemiology and neuroscience
… from a disease, etc. In neuroscience, the spike train of a neuron can be described as a jump process. The first contribution of this thesis is a data-informed approach for analysis, validation and identification of compartmental models in epidemiology. We propose that the ad-hoc process of …
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Design and FPGA Implementation of Optimized and Digital Multiplexing Spiking Encoders for Neuromorphic Computing
… monitoring. A crucial step in this process is spike encoding, which converts continuous input signals into discrete spike trains. This encoding not only preserves temporal features of the spectrum but also allows the reservoir to exploit time-dependent dynamics for richer representations. By …
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