http://hdl.handle.net/1721.1/7776 2013-05-18T15:14:41Z http://hdl.handle.net/1721.1/77844 Higher-dimensional computational models of perceptual grouping and silhouette analysis and representation Twarog, Nathaniel R In the following thesis, I describe the investigation of two problems related to the organization and structural analysis of visual information: perceptual grouping and silhouette analysis and representation. For the problem of perceptual grouping, an intuitive model framework was developed which operates on raw images and locates relevant groupings utilizing a higher dimensional space that contains not only the two spatial dimensions of the image but one or more dimension corresponding to relevant image features such as luminance, hue, or orientation. A psychophysical experiment was run to measure how human visual observers perform perceptual grouping across a variety of spatial scales and luminance differences. These results were compared with the predictions of our grouping model, and the model was able to capture much of the grouping behavior of the human subjects. A second experiment was run in which the perception of groups was disrupted by the presence of noise or shifts in brightness. Though the experiments showed only small effects resulting from these disruptions on the behavior of human subjects, the model was still able to successfully capture much of the image-to-image variability. For the question of silhouette representation and analysis, I suggest that human silhouette representation may be inextricably tied to 3D interpretation of 2D shapes. To support this, I propose a novel algorithm for 2D silhouette inflation called Puffball, which closely matches human intuition for a variety of simple shapes and can be run on almost any input. Using this algorithm, a new model of human part segmentation was derived using 2D-to-3D inflation; this model was evaluated against human-generated part segmentations and two competing part segmentation algorithms. Across a variety of different analyses, Puffball part segmentation performed as well or better than its competitors, suggesting a potential role for 2D-to-3D inflation in the segmentation of silhouette parts. Finally, I suggest several avenues of research which may further illuminate the role of inflation in the human representation and analysis of 2D and 3D shape. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2012.; This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.; Cataloged from student-submitted PDF version of thesis.; Includes bibliographical references (p. 100-105). 2012-01-01T05:00:00Z http://hdl.handle.net/1721.1/77843 Structure-function relationships in human brain development Saygin, Zeynep Mevhibe The integration of anatomical, functional, and developmental approaches in cognitive neuroscience is essential for generating mechanistic explanations of brain function. In this thesis, I first establish a proof-of-principle that neuroanatomical connectivity, as measured with diffusion weighted imaging (DWI), can be used to calculate connectional fingerprints that are sufficient to delineate fine anatomical distinctions in the human brain (Chapter 2). Next, I describe the maturation of structural connectivity patterns by applying these connectional fingerprints to over a hundred participants ranging from five to thirty years of age, and show that these connectional patterns have different developmental trajectories (Chapter 3). I then illustrate how anatomical connections may shape (or in turn be shaped by) function and behavior, within the framework of reading ability and describe how white matter tract integrity may predict future acquisition of reading ability in children (Chapter 4). I conclude by summarizing how these experiments offer testable hypotheses of the maturation of structure and function. Studying the complex interplay between structure, function, and development will get us closer to understanding both the constraints present at birth, and the effect of experience, on the biological mechanisms underlying brain function. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2012.; This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.; Cataloged from student-submitted PDF version of thesis. Page 125 blank.; Includes bibliographical references. 2012-01-01T05:00:00Z http://hdl.handle.net/1721.1/77642 Learning in the social context : inference, exploration and evaluation in early childhood Gweon, Hyowon Some of the biggest achievements in our lives are made even before we learn to tie our shoes. Within a few years of life, we master a language, acquire cultural norms, and develop naïve, yet rich, abstract, coherent theories about how the world works. How do young learners achieve such a feat? The goal of my thesis is to lay the groundwork for a unified account of a rational inference mechanism that underlies this remarkable human faculty to learn so much, so fast, from so little. The first study (Chapter 2) provides evidence that 16-month-old infants can use co-variation information among agents and objects to infer the cause of their failed actions; depending on their attribution, infants either approached another agent or another object. The second study (Chapter 3) shows that 15-month-old infants consider both the sample and the sampling process to rationally generalize properties of novel objects in the absence of behavioral cues. The results are consistent with the quantitative predictions of a Bayesian model, and suggest that infants' inferences are graded with respect to the probability of the sample. Finally, the third study (Chapter 4) shows that older children make sophisticated inferences about properties of agents; children evaluated an informant based on information he provided, and such evaluations affected how children learned from that informant. These studies provide evidence for rational, probabilistic, domain-general inference mechanisms in preverbal infants, and demonstrate how young learners seamlessly integrate data from different sources in ways that affect their exploration, generalization, and evaluation of both the physical and the social world. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2012.; This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.; Cataloged from student-submitted PDF version of thesis.; Includes bibliographical references (p. 107-116). 2012-01-01T05:00:00Z http://hdl.handle.net/1721.1/73775 Converging biochemical pathways in psychiatric disorders Soda, Takahiro According to the World Health Organization, neuropsychiatric diseases account for approximately one third of years lost to disability. Yet, despite this huge disease burden, there is a lack of new treatments under development: approved treatments all essentially target the same target(s), if the target itself is known. There is now considerable evidence for a common set of heritable risk for psychiatric disorders including schizophrenia, bipolar disorder, as well as autism. Many of these risk alleles affect genes implicated in neuronal development with known roles at an early stage; these genes would have an effect on the individual before the onset of overt symptoms or diagnosis. Furthermore, many of the genes identified are known to participate in established pathways that are relevant for neuronal development and function. It is important then to address the causality between these signaling pathways that are important for neurodevelopment, and the risk of developing neuropsychiatric disorder. The work presented in this thesis represents two projects that aim to work toward this goal. The first project pertains to the mechanisms of transcriptional repression by DISC1 on ATF4-mediated gene transcription. The second project presents some initial steps towards uncovering the role of BCL9 in neuronal development. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2012.; Cataloged from PDF version of thesis.; Includes bibliographical references. 2012-01-01T05:00:00Z