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 20 of 51 for “"Single neuron"”.
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UNDERSTANDING THE PROCESS OF MULTISENSORY INTEGRATION
… insight into this remarkable process. At the single neuron level, responses are more robust to spatiotemporally concordant modality-specific sensory cues (likely derived from the same event) than to either cue alone – an effect that is strongest when the cues are weakest. This multisensory …
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Fabrication and Application of a Polymer Neuromorphic Circuitry Based on Polymer Memristive Devices and Polymer Transistors
… by the McCulloch-Pitts model of an artificial neuron. The major contribution of this dissertation is a development of processing techniques necessary to realize the Polymer Neuromorphic Circuitry, which required a development of individual polymer electronics elements, as well as customization …
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Characterization of peptide release from neuronal cells with microfluidics and mass spectrometry
… system is a complex network of a large number of neurons, and the neuronal communication between these cells often relies on chemical signals. Deciphering these signaling molecules, including neuropeptides, is an important but challenging task. Microfluidic technology allows the manipulation of …
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Optical and computational approaches for mapping brain activity and structure
… the underlying principles of brain computation, neurons will certainly serve as an important layer to study the brain considering their discreteness and electrical characteristics. In other words, seeing a brain as a circuitry that is made of the neurons, it is important to study the relation …
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Acoustical and flow characteristics of a cough as an index of pulmonary function in the guinea pig
… the resulting parameters were used to train a single neuron feed-forward back propagation neural network. The classification system was able to correctly discriminate between members of the high and low airway constriction groups with an accuracy of 0.946 and a sensitivity and specificity of …
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Odorant Responses and Courtship Behaviors Influenced by at4 Neurons in Drosophila
… as courtship and mating. In most species, the neurons tuned to pheromones are localized in a specific subset of olfactory sensilla located on the antenna called trichoid sensilla. In Drosophila there are two classes of trichoid sensilla, at1 sensilla that contain the dendrites of a single …
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Optimizing chemical-vapor-deposition diamond for nitrogen-vacancy center ensemble magnetometry
… from the noninvasive measurement of a single neuron action potential to the mapping [mu]T-fields in [mu]m-size meteorite grains. To further improve the magnetic sensitivity of an ensemble NV magnetometer, the growth and processing of the host diamond must be taken into account. This …
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Binaural interactions in the auditory midbrain with bilateral electric stimulation of the cochlea
… characterizes binaural interactions in auditory neurons using a cat model of bilateral cochlear implants. Single neuron responses in the inferior colliculus (IC), the main nucleus of the auditory midbrain, were studied using electric stimulation of bilaterally implanted intracochlear electrode …
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ESTIMATING PARAMETERS OF A MULTI-CLASS IZHIKEVICH NEURON MODEL TO INVESTIGATE THE MECHANISMS OF DEEP BRAIN STIMULATION
… treatment of Parkinson's disease. An Izhikevich neuron model was used to accomplish this task and four classes of neurons were modeled. The parameters of each class were estimated using a genetic algorithm with a fitness function based on spike frequency as a function of input current. After …
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Analysis of The Distributed Representation of Operant Memory In Aplysia
… of behavior, engages a high-dimensional neuronal population space spanning multiple brain regions. A complete characterization of an operant memory remains elusive. Some sites of plasticity participating in the engram underlying an example of operant memory in <em>Aplysia </em>have been …
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Characterization of a Spiking Neuron Model via a Linear Approach
<p>In the past decade, characterizing spiking neuron models has been extensively researched as an essential issue in computational neuroscience. In this thesis, we examine the estimation problem of two different neuron models. In Chapter 2, We propose a modified Izhikevich model with an adaptive …
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Nonlinear Controller Design and Implementation for a Magnetic Levitation System
… the multi-layer perceptron (MLP) and the single multiplicative neuron (SMN), are investigated in this work. A novel form of ANN, namely, single multiplicative neuron (SMN), is proposed in place of the more traditional multi-layer perceptron (MLP). SMN derives its name from the single …
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The role of short term synamptic plasticity in temporal coding of neuronal networks
… in enhancing coincidence detecting ability of neurons in the avian auditory brainstem. Coincidence detection means a target neuron has a higher firing rate when it receives simultaneous inputs from different neurons as opposed to inputs with large phase delays. This property is used by birds in …
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Travelling waves modulated by resonant currents in laterally-inhibited grids of leaky integrate-and-fire neurons
… analytically tractable dynamic of networks of neurons. They have been observed experimentally across the whole brain as well as at smaller scales, linked to functions as diverse as visual processing, motor coordination, and situating oneself in space. The simple analytical description of …
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Optimal Control of Weakly Forced Nonlinear Oscillators
… we investigate fundamental limits on how neuron spiking behavior can be altered by the use of an external stimulus: control). Pontryagin's maximum principle is employed to derive optimal controls that lead to desired spiking times of a neuron oscillator, which include minimum-power and …
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Allocation of Computational Resources in the Nervous System.
… as observed from both behavioral experiments and neuronal recordings. First, we review behavioral measurements related to selective attention and discuss models that account for these data. We show that reallocation of resources emerges as a natural property of systems that encode their inputs …
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Integrate-and-fire modelling of neuronal systems with modulatory properties
The mathematical modelling of behaviour at the single neuron level is an important part of computational neuroscience. Conductance-based models remain dominant because of their biophysical interpretation. Nevertheless, their high dimensionality and number of parameters complicate mathematical …
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Ground truth in ultra-dense neural recording
… the process of attributing spikes to particular neurons-- remains a challenge that typically requires human curation. Due to technical limitations, there have been very few multi-electrode recordings done in concert with techniques such as patch clamp, which report the "ground truth" voltage …
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