1,902 research outputs found
Extended Limber Approximation
We develop a systematic derivation for the Limber approximation to the
angular cross-power spectrum of two random fields, as a series expansion in
1/(\ell+1/2). This extended Limber approximation can be used to test the
accuracy of the Limber approximation and to improve the rate of convergence at
large \ell's. We show that the error in ordinary Limber approximation is
O(1/\ell^2). We also provide a simple expression for the second order
correction to the Limber formula, which improves the accuracy to O(1/\ell^4).
This correction can be especially useful for narrow redshift bins, or samples
with small redshift overlap, for which the zeroth order Limber formula has a
large error. We also point out that using \ell instead of (\ell+1/2), as is
often done in the literature, spoils the accuracy of the approximation to
O(1/\ell).Comment: 7 pages, 6 figure
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Mobile Virtual Realities and Portable Magic Circles
Hybrid reality games such as PokĂŠmon GO enable new approaches to embodied space that problematise traditional understandings of play. More recently, smartphones have again become involved in the provision of a new kind of relationship with space: the space of virtual reality. It is the intention of this exploratory chapter to examine mobile virtual reality as part of the continuum of mobile media in the context of two related themes: (1) physical distraction and (2) embodied space. The chapter will consider how this reassessment might provide new understandings of playâs connection to the ordinary space of daily life before expanding upon these issues within the broader context of the âsmartphone movementâ and concluding with suggested directions for future research within the field
Neural correlates of attentional capture in visual search
Much behavioral research has shown that the presence of a unique singleton distractor during a task of visual search will typically capture attention and thus disrupt search. Here we examined the neural correlates of such attentional capture using functional magnetic resonance imaging in human divisions during performance of a visual search task. The presence (vs. absence) of a salient yet irrelevant color singleton distractor was associated with activity in the superior parietal cortex and frontal cortex. These findings imply that the singleton distractor induced spatial shifts of attention despite its irrelevance, as predicted from an AC account. Moreover, behavioral interference by singleton distractors was strongly and negatively correlated with frontal activity. These findings provode direct evidence that the frontal cortex is involved in control of interference from irrelevant but attention-capturing distractors
The role of working memory in visual selective attention
The hypothesis is that working memory is crucial for reducing distraction by maintaining the prioritization of relevant information was tested in neuroimaging and psychological experiments with humans. Participants performed a selective attention task that required them to ignore distractor faces while holding in working memory a sequence of digits that were in the same order (low memory load) or a different order (high memory load) on every trial. Higher memory load, associated with increased prefrontal activity, resulted in greater interference effects on behavioral performance from the distractor faces, plus increased face-related activity in the visual cortex. These findings confirm a major role for working memory in the control of visual selective attention
Forty years on: Uta Frith's contribution to research on autism and dyslexia, 1966â2006
Uta Frith has made a major contribution to our understanding of developmental disorders, especially autism and dyslexia. She has studied the cognitive and neurobiological bases of both disorders and demonstrated distinctive impairments in social cognition and central coherence in autism, and in phonological processing in dyslexia. In this enterprise she has encouraged psychologists to work in a theoretical framework that distinguishes between observed behaviour and the underlying cognitive and neurobiological processes that mediate that behaviour
Gentle Masking of Low-Complexity Sequences Improves Homology Search
Detection of sequences that are homologous, i.e. descended from a common ancestor, is a fundamental task in computational biology. This task is confounded by low-complexity tracts (such as atatatatatat), which arise frequently and independently, causing strong similarities that are not homologies. There has been much research on identifying low-complexity tracts, but little research on how to treat them during homology search. We propose to find homologies by aligning sequences with âgentleâ masking of low-complexity tracts. Gentle masking means that the match score involving a masked letter is , where is the unmasked score. Gentle masking slightly but noticeably improves the sensitivity of homology search (compared to âharshâ masking), without harming specificity. We show examples in three useful homology search problems: detection of NUMTs (nuclear copies of mitochondrial DNA), recruitment of metagenomic DNA reads to reference genomes, and pseudogene detection. Gentle masking is currently the best way to treat low-complexity tracts during homology search
Abnormal functional specialization within medial prefrontal cortex in high-functioning autism: a multi-voxel similarity analysis
Multi-voxel pattern analyses have proved successful in âdecodingâ mental states from fMRI data, but have not been used to examine brain differences associated with atypical populations. We investigated a group of 16 (14 males) high-functioning participants with autism spectrum disorder (ASD) and 16 non-autistic control participants (12 males) performing two tasks (spatial/verbal) previously shown to activate medial rostral prefrontal cortex (mrPFC). Each task manipulated: (i) attention towards perceptual versus self-generated information and (ii) reflection on another person's mental state (âmentalizing'versus ânon-mentalizingâ) in a 2 Ă 2 design. Behavioral performance and group-level fMRI results were similar between groups. However, multi-voxel similarity analyses revealed strong differences. In control participants, the spatial distribution of activity generalized significantly between task contexts (spatial/verbal) when examining the same function (attention/mentalizing) but not when comparing different functions. This pattern was disrupted in the ASD group, indicating abnormal functional specialization within mrPFC, and demonstrating the applicability of multi-voxel pattern analysis to investigations of atypical populations
Constraints on Cardassian Expansion
High redshift supernovae and Cosmic Microwave Background data are used to
constrain the Cardassian expansion model (Freese & Lewis 2002), a cosmology in
which a modification to the Friedmann equation gives rise to a flat,
matter-dominated Universe which is currently undergoing a phase of accelerated
expansion. In particular, the precision of the positions of the Doppler peaks
in the CMB angular power spectrum provided by WMAP tightly constrains the
cosmology. The available parameter space is further constrained by various high
redshift supernova datasets taken from Tonry et al. (2003), a sample of 230
supernovae collated from the literature, in which fits to the distance and
extinction have been recomputed where possible and a consistent zero-point has
been applied. In addition, the Cardassian model can also be loosely constrained
by inferred upper limits on the epoch at which the Cardassian term in the
modified Friedmann equation begins to dominate the expansion (z_eq). Using
these methods, a Cardassian cosmology is constrained at the 2 sigma level to
0.19<Omega_m<0.26, 0.01<n<0.24 for the Cardassian expansion parameter, n, and
0.42<z_eq<0.89, in contradiction to the previous constraints of Sen & Sen
(2003). There is also a large discrepancy between the 1 sigma confidence
regions defined by the CMB and tightest supernova constraints, with the CMB
data favouring a low-Omega_m, high-n Cardassian cosmology and z_eq>1, as
opposed to the supernova data which supports a high-Omega_m, low-n cosmology.Comment: 5 pages, 8 figure
Why the idea of framework propositions cannot contribute to an understanding of delusions
One of the tasks that recent philosophy of psychiatry has taken upon itself is to extend the range of understanding to some of those aspects of psychopathology that Jaspers deemed beyond its limits. Given the fundamental difficulties of offering a literal interpretation of the contents of primary delusions, a number of alternative strategies have been put forward including regarding them as abnormal versions of framework propositions described by Wittgenstein in On Certainty. But although framework propositions share some of the apparent epistemic features of primary delusions, their role in partially constituting the sense of inquiry rules out their role in helping to understand delusions
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