218 research outputs found
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Music-reading expertise modulates the visual span for English letters but not Chinese characters.
Recent research has suggested that the visual span in stimulus identification can be enlarged through perceptual learning. Since both English and music reading involve left-to-right sequential symbol processing, music-reading experience may enhance symbol identification through perceptual learning particularly in the right visual field (RVF). In contrast, as Chinese can be read in all directions, and components of Chinese characters do not consistently form a left-right structure, this hypothesized RVF enhancement effect may be limited in Chinese character identification. To test these hypotheses, here we recruited musicians and nonmusicians who read Chinese as their first language (L1) and English as their second language (L2) to identify music notes, English letters, Chinese characters, and novel symbols (Tibetan letters) presented at different eccentricities and visual field locations on the screen while maintaining central fixation. We found that in English letter identification, significantly more musicians achieved above-chance performance in the center-RVF locations than nonmusicians. This effect was not observed in Chinese character or novel symbol identification. We also found that in music note identification, musicians outperformed nonmusicians in accuracy in the center-RVF condition, consistent with the RVF enhancement effect in the visual span observed in English-letter identification. These results suggest that the modulation of music-reading experience on the visual span for stimulus identification depends on the similarities in the perceptual processes involved
Emerin and inherited disease
Thesis (M. Eng.)--Harvard-MIT Division of Health Sciences and Technology, 2004.Includes bibliographical references (p. 54-55).(cont.) nucleus and at the nuclear surface.Mutations in the lamin A/C gene (Lmna) and the lamin-associated protein emerin gene (EM) cause a variety of human diseases including Emery-Dreifuss muscular dystrophy, dilated cardiomyopathy, familial partial lipodystrophy, Charcot-Marie-Tooth Neuropathy and Hutchinson-Gilford progeria syndrome. The molecular mechanisms underlying the varied phenotypes are unknown, and both a mechanical stress hypothesis and an altered gene expression hypothesis have been proposed to explain the tissue specific effects observed in laminopathies. To investigate the role of emerin in mechanotransduction, lamin A/C deficient (Lmna⁻/⁻) fibroblasts, and emerin deficient (EM⁻/y) fibroblasts were studied for nuclear mechanical properties, cytoskeletal stiffness, and mechanical strain-induced signaling. EM⁻/y fibroblasts exhibited similar cell sensitivity, nuclear and cytoskeletal properties compared to wild type cells under stress and strain. Interestingly, both Lmna⁻/⁻ and EM⁻/y fibroblasts had impaired mechanotransduction, characterized by attenuated expression of the mechanosensitive genes egr-1, iex-1, and txnip in response to mechanical stimulation. In addition, NF-rB signaling appeared disturbed in Lmna⁻/⁻ cells, but normal in EM⁻/y fibroblasts. The relationship between changes in cytoskeletal stiffness recently discovered in Lmna⁻/⁻ cells and nuclear mechanics under strain was explored using a computational finite elemental model. Analysis of the several models using variations in material properties and cell geometry revealed that nuclear shape, material properties of the cytoskeleton and nucleus, as well as the size and location of strain application on the cell are important parameters in determining the magnitude of stress and strain within theby Janet Hsiao.M.Eng
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI
Explainable AI (XAI) methods provide explanations of AI models, but our
understanding of how they compare with human explanations remains limited. In
image classification, we found that humans adopted more explorative attention
strategies for explanation than the classification task itself. Two
representative explanation strategies were identified through clustering: One
involved focused visual scanning on foreground objects with more conceptual
explanations diagnostic for inferring class labels, whereas the other involved
explorative scanning with more visual explanations rated higher for
effectiveness. Interestingly, XAI saliency-map explanations had the highest
similarity to the explorative attention strategy in humans, and explanations
highlighting discriminative features from invoking observable causality through
perturbation had higher similarity to human strategies than those highlighting
internal features associated with higher class score. Thus, humans differ in
information and strategy use for explanations, and XAI methods that highlight
features informing observable causality match better with human explanations,
potentially more accessible to users
Differences of split and non-split architectures emerged from modelling Chinese character pronunciation
Hemispheric differences emerge from perceptual learning: Evidence from modeling Chinese character pronunciation
Predicting an observer's task using multi-fixation pattern analysis
Since Yarbus's seminal work in 1965, vision scientists have argued that people's eye movement patterns differ depending upon their task. This suggests that we may be able to infer a person's task (or mental state) from their eye movements alone. Recently, this was attempted by Greene et al. [2012] in a Yarbus-like replication study; however, they were unable to successfully predict the task given to their observer. We reanalyze their data, and show that by using more powerful algorithms it is possible to predict the observer's task. We also used our algorithms to infer the image being viewed by an observer and their identity. More generally, we show how off-the-shelf algorithms from machine learning can be used to make inferences from an observer's eye movements, using an approach we call Multi-Fixation Pattern Analysis (MFPA)
Abnormal nuclear shape and impaired mechanotransduction in emerin-deficient cells
Emery-Dreifuss muscular dystrophy can be caused by mutations in the nuclear envelope proteins lamin A/C and emerin. We recently demonstrated that A-type lamin-deficient cells have impaired nuclear mechanics and altered mechanotransduction, suggesting two potential disease mechanisms (Lammerding, J., P.C. Schulze, T. Takahashi, S. Kozlov, T. Sullivan, R.D. Kamm, C.L. Stewart, and R.T. Lee. 2004. J. Clin. Invest. 113:370–378). Here, we examined the function of emerin on nuclear mechanics and strain-induced signaling. Emerin-deficient mouse embryo fibroblasts have abnormal nuclear shape, but in contrast to A-type lamin-deficient cells, exhibit nuclear deformations comparable to wild-type cells in cellular strain experiments, and the integrity of emerin-deficient nuclear envelopes appeared normal in a nuclear microinjection assay. Interestingly, expression of mechanosensitive genes in response to mechanical strain was impaired in emerin-deficient cells, and prolonged mechanical stimulation increased apoptosis in emerin-deficient cells. Thus, emerin-deficient mouse embryo fibroblasts have apparently normal nuclear mechanics but impaired expression of mechanosensitive genes in response to strain, suggesting that emerin mutations may act through altered transcriptional regulation and not by increasing nuclear fragility
Cultural orientation of self-bias in perceptual matching
This work was supported by grants from the Economic and Social Research Council (ES/K013424/1), the National Natural Science Foundation of China (31371017), and the Research Grants Council of Hong Kong (HKU758412H)Peer reviewedPublisher PD
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