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 25 for “"Drift-diffusion Model"”.
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Distinguishing Medial Temporal Lobe and Prefrontal Cortex Contributions to Approach-Avoidance Conflict in Healthy Controls and Generalized Anxiety Disorder: Insights from Functional Magnetic Resonance Imaging and the Hierarchical Drift Diffusion Model
… Across translational rodent and human models, AA conflict has been associated with anxiety and is supported by a network of brain regions including the medial temporal lobe (MTL), striatum, and prefrontal cortex (PFC). This work, however, is limited in two respects. (1) Human models …
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Dynamics of human decision-making : vestibular perception and neural correlates
… were to (1) develop dynamic computational models and to (2) find neural representations of choice confidence in human scalp potentials. The dynamic models of choice confidence were developed by merging two parallel conceptual frameworks of decision-making, signal detection theory and …
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Physics and simulation of transport processes in hybrid organic semiconductor devices
… on single molecules or nanocrystals; the drift-diffusion equations, which describe carrier transport in delocalized states near thermal equilibrium, are no longer valid. A computational model for device operation would give researchers a powerful tool to design and improve devices. This …
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Two-dimensional simulation of quantum well lasers including energy transport
… patterns. The simulator is based on the drift-diffusion model with full Fermi-Dirac statistics for the transport equations as well as for the Poisson equation. Simulation of the thermionic emission current is required at the abrupt hetero-interfaces of the quantum well. Energy transfer …
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Mechanistic models of recruitment variability in fish populations.
… simple stochastic, mechanistic larval growth models, developed and utilised to investigate recruitment probabilities and variability. The models are mechanistic in that they are based on consideration of the key ecological processes at work, and not on statistical regression analyses or …
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Optimal Response in Decision Making: An Experimental Investigation of Decision Strategies
… tasks on human participants while assuming the Drift Diffusion Model, one of the many models used for simple and fast decisions, as the perceptual process. We found that increasing the time of the trial does not have a relevant effect on the response, which is in contrast with some of the …
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Slipping into Sleep: neurodynamics of alertness transitions in humans and fruit flies
… of sleep itself. Here I use two distant animal models, the richness in behaviour and complexity of the human brain to understand how alertness transitions affects attention; and the experimental flexibility of the fruit fly, to understand its effect over longer time intervals. I first develop an …
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Designing Planar Silicon Solar Cells for Singlet Fission Sensitization
… to device performance. This thesis integrates modeling and experimental approaches to guide the design of planar SF-sensitized Si solar cells. We developed a fabrication process for planar cells comparing varied oxide passivation layer growth conditions and surface treatments, Si(100) versus …
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The Neural Computations In The Caudate Nucleus For Reward-Biased Perceptual Decision-Making
… ganglia. Fitting the monkeys’ behaviors to a drift-diffusion model, we found that the monkeys used a rational heuristic to combine sensory and reward information. This heuristic is suboptimal but leads to good-enough outcomes. We also found that the monkeys’ reward biases were sensitive to the …
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Spin transport in few-layer graphene
… there is still disagreement regarding the spin diffusion length (lsf). This is partially because insufficient attention has been paid to the micromagnetics of the electrodes, particularly regarding the interpretation of local magnetoresistance (MR), where the spin-valve signal can be confused …
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Prior reward contingencies influence the contents of working memory by biasing attention in space but not in time: Evidence from recognition of sequentially versus simultaneously presented sets of items
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Drift Diffusion Analyses Of Preferential Choice
… of three essays, we use sequential sampling models to formally describe preference accumulation processes underlying various choice problems. The models we propose are based on the drift diffusion model (DDM), which is a benchmark sequential sampling model for studying binary choice problems, …
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Modeling edge effects of mesa diodes for silicon photovoltaics
A mesa diode has been modeled and its performance under dark and illuminated conditions has been simulated using a commercial finite element software package. These simulations have led to a determination of the self-consistent solution to the continuity equations for electrons and holes using the …
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How trial correlations and feedback shape sequential decision-making
… use to make decisions. Normative theories, which model ideal observers, have been developed for such tasks when rewards provide the sole evidence (e.g., two-armed bandit tasks). Less is known about how observers should integrate probabilistic rewards interspersed with noisy evidence to inform …
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A midbrain mechanism for computing escape decisions in the mouse
… data in this task were best formalised with a drift-diffusion model of decision making, providing a framework to understand innate behavioural tasks in terms of evidence accumulation and boundaries. Next, we performed calcium imaging in freely-moving mice to probe for neural correlates of …
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Inference of functional neural connectivity and convergence acceleration methods
… parameters of the leaky integrate-and-fire (LIF) model featuring time-dependent currents and conductances based only on the extracellular recording of spiking in the network. The fitted parameters can describe the functional connections in the network, as well as the internal properties of the …
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The Context-Dependence of the Process of Risky Choice
… we develop and test a Sequential Sampling Model (SSM), the arousal-modulated Attentional Drift Diffusion Model (aADDM), linking reaction time and choice while allowing attention and its interaction with arousal to modulate the evaluation process of risky alternatives. High stakes caused …
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Theory of carrier transport in III-Nitride based heterostructures
… aspect of this is the development of improved modeling techniques. More recently, an emphasis has been put on understanding the impact the disordered alloy microstructure has on the electronic structure, however models focusing on transport properties are less mature. This is in part due to the …
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Heterostructure engineering of quantum dots-in-a-well infrared photodetectors
… For improved understanding, theoretical modeling of quantum dot strain, based on atomistic valence force field method as well as transport simulations of general heterostructure detectors with drift-diffusion model have been developed. The transport simulation results indicate the …
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Heuristic modelling of multijunction solar cells using a parallel genetic algorithm
… these parameters, genetic algorithm is used with drift-diffusion model and all material parameters calculated as a function of energy gap. This way we have very realistic material parameter set which, together with detailed losses modeling, provide reliable results. To test the model, findings were …
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