Mechanisms of perceptual learning of depth discrimination in random dot stereograms.

Perceptual learning is a training induced improvement in performance. Mechanisms underlying the perceptual learning of depth discrimination in dynamic random dot stereograms were examined by assessing stereothresholds as a function of decorrelation. The inflection point of the decorrelation function was defined as the level of decorrelation corresponding to 1.4 times the threshold when decorrelation is 0%. In general, stereothresholds increased with increasing decorrelation. Following training, stereothresholds and standard errors of measurement decreased systematically for all tested decorrelation values. Post training decorrelation functions were reduced by a multiplicative constant (approximately 5), exhibiting changes in stereothresholds without changes in the inflection points. Disparity energy model simulations indicate that a post-training reduction in neuronal noise can sufficiently account for the perceptual learning effects. In two subjects, learning effects were retained over a period of six months, which may have application for training stereo deficient subjects.

Immune modulation alters brain opioid activities: Evidence for a role of muramyl dipeptide in the process of neuroimmunemodulation

During the last twenty years a scientific basis for the anecdotal reports of an interaction between the brain and the immune system has established neuroimmunemodulation as a new field of study in the biomedical sciences. A means for the brain to exert a regulatory influence upon various lymphoid reactions has been well established by many investigators world wide. This dissertation was geared to test the central hypothesis that the immune system, in turn, produces signals which affect CNS functions. Specifically, it is shown through several different experiments, behavioral and electrophysiologic, that the immune modifiers interferon-alpha, gamma irradiation, cyclosporine-A and muramyl-dipeptide modify brain opioid related activities. Each agent attenuates naloxone-precipitated morphine withdrawal following either systemic or intracranial injection. Each agent also has effects upon either the acute antinociceptive or hypothermic activities of morphine. Finally, each agent modifies baseline evoked electrical activity of several brain areas of awake freely-behaving rats. Later studies demonstrate that muramyl-dipeptide modifies the unit firing rate of single neurons in the brain following either systemic or localized administration within the brain. These results suggest that the immune system produces signals which affect brain activity; and thus, support the contention of a bi-directional interaction between the brain and the immune system. ^

Neural analogs of associative learning in {\it Aplysia\/}: Experimental and theoretical approaches

A change in synaptic strength arising from the activation of two neuronal pathways at approximately the same time is a form of associative plasticity and may underlie classical conditioning. Previously, a cellular analog of a classical conditioning protocol has been demonstrated to produce short-term associative plasticity at the connections between sensory and motor neurons in Aplysia. A similar training protocol produced long-term (24 hour) enhancement of excitatory postsynaptic potentials (EPSPs). EPSPs produced by sensory neurons in which activity was paired with a reinforcing stimulus were significantly larger than unpaired controls 24 hours after training. To examined whether the associative plasticity observed at these synapses may be involved in higher-order forms of classical conditioning, a neural analog of contingency was developed. In addition, computer simulations were used to analyze whether the associative plasticity observed in Aplysia could, in theory, account for second-order conditioning and blocking. ^

Vasculogenesis: A process of vessel formation and its role during Ewing's sarcoma development

Vasculogenesis is the process by which Endothelial Precursor Cells (EPCs) form a vasculature. This process has been traditionally regarded as an embryological process of vessel formation. However, as early as in the 60's the concept of postnatal vasculogenesis was introduced, with a strong resurface of this idea in recent years. Similarly, previous work on a mouse skin tumor model provided us with the grounds to consider the role of vasculogenesis during tumor formation. ^ We examined the contribution of donor bone marrow (BM)-derived cells to neovascularization in recipient nude mice with Ewing's sarcoma. Ewing's sarcoma is a primitive neuroectodermal tumor that most often affects children and young adults between 5 and 30 years of age. Despite multiple attempts to improve the efficacy of chemotherapy for the disease, the 2-year metastases-free survival rate for patients with Ewing's sarcoma has not improved over the past 15 years. New therapeutic approaches are therefore needed to reduce the mortality rate. ^ The contribution of BM endothelial precursor cells in the development of Ewing's sarcoma was examined using different strategies to track the donor-derived cells. Using a BMT model that takes advantage of MHC differences between donor and recipient mice, we have found that donor BM cells were involved in the formation of Ewing's sarcoma vasculature. ^ Cells responsible for this vasculogenesis activity may be located within the stem cell population of the murine BM. These stem cells would not only generate the hematopoietic lineage but they would also generate ECs. Bone marrow SP (Side Population) cells pertain to a subpopulation that can be identified using flow cytometric analysis of Hoechst 33342-stained BM. This population of cells has HSC activity. We have tested the ability of BM SP cells to contribute to vasculogenesis in Ewing's sarcoma using our MHC mismatched transplant model. Mice transplanted with SP cells developed tumor neovessels that were derived from the donor SP cells. Thus, SP cells not only replenished the hematopoietic system of the lethally irradiated mice, but also differentiated into a non-hematopoietic cell lineage and contributed to the formation of the tumor vasculature. ^ In summary, we have demonstrated that BM-derived cells are involved in the generation of the new vasculature during the growth of Ewing's sarcoma. The finding that vasculogenesis plays a role in Ewing's sarcoma development opens the possibility of using genetically modified BM-derived cells for the treatment of Ewing's sarcomas. ^

Comparison of machine learning approaches and statistical methods for estimation of airborne chemical exposures

Accurate quantitative estimation of exposure using retrospective data has been one of the most challenging tasks in the exposure assessment field. To improve these estimates, some models have been developed using published exposure databases with their corresponding exposure determinants. These models are designed to be applied to reported exposure determinants obtained from study subjects or exposure levels assigned by an industrial hygienist, so quantitative exposure estimates can be obtained. ^ In an effort to improve the prediction accuracy and generalizability of these models, and taking into account that the limitations encountered in previous studies might be due to limitations in the applicability of traditional statistical methods and concepts, the use of computer science- derived data analysis methods, predominantly machine learning approaches, were proposed and explored in this study. ^ The goal of this study was to develop a set of models using decision trees/ensemble and neural networks methods to predict occupational outcomes based on literature-derived databases, and compare, using cross-validation and data splitting techniques, the resulting prediction capacity to that of traditional regression models. Two cases were addressed: the categorical case, where the exposure level was measured as an exposure rating following the American Industrial Hygiene Association guidelines and the continuous case, where the result of the exposure is expressed as a concentration value. Previously developed literature-based exposure databases for 1,1,1 trichloroethane, methylene dichloride and, trichloroethylene were used. ^ When compared to regression estimations, results showed better accuracy of decision trees/ensemble techniques for the categorical case while neural networks were better for estimation of continuous exposure values. Overrepresentation of classes and overfitting were the main causes for poor neural network performance and accuracy. Estimations based on literature-based databases using machine learning techniques might provide an advantage when they are applied to other methodologies that combine `expert inputs' with current exposure measurements, like the Bayesian Decision Analysis tool. The use of machine learning techniques to more accurately estimate exposures from literature-based exposure databases might represent the starting point for the independence from the expert judgment.^

An analysis of the revenue policy -making process of the Texas Legislature

The purpose of this dissertation was to develop a conceptual framework which can be used to account for policy decisions made by the House Ways and Means Committee (HW&MC) of the Texas House of Representatives. This analysis will examine the actions of the committee over a ten-year period with the goal of explaining and predicting the success of failure of certain efforts to raise revenue.^ The basis framework for modelling the revenue decision-making process includes three major components--the decision alternatives, the external factors and two competing contingency theories. The decision alternatives encompass the particular options available to increase tax revenue. The options were classified as non-innovative or innovative. The non-innovative options included the sales, franchise, property and severance taxes. The innovative options were principally the personal and corporate income taxes.^ The external factors included political and economic constraints that affected the actions of the HW&MC. Several key political constraints on committee decision-making were addressed--including public attitudes, interest groups, political party strength and tradition and precedents. The economic constraints that affected revenue decisions included court mandates, federal mandates and the fiscal condition of the nation and the state.^ The third component of the revenue decision-making framework included two alternative contingency theories. The first alternative theory postulated that the committee structure, including the individual member roles and the overall committee style, resulted in distinctive revenue decisions. This theory will be favored if evidence points to the committee acting autonomously with less concern for the policies of the Speaker of the House. The Speaker assignment theory, postulated that the assignment of committee members shaped or changed the course of committee decision-making. This theory will be favored if there was evidence that the committee was strictly a vehicle for the Speaker to institute his preferred tax policies.^ The ultimate goal of this analysis is to develop an explanation for legislative decision-making about tax policy. This explanation will be based on the linkages across various tax options, political and economic constraints, member roles and committee style and the patterns of committee assignment. ^