1. Similarly

A collection of 20 structurally diverse synthetic datasets that consist of randomly generated gaussian distributions varying in number of objects (5000 or 10000), number of features (20,40,50,60), number of clusters (3,8,15,20), cluster sizes, cluster standard deviations, cluster overlap, and cluster anisotropy. Can be used to test clustering methods.

Contains a folder for only subject W (subject Je data is uploaded separately), which contains a session directory with a folder half of the days of data collection on this task (the other half is uploaded separately), and then a sub-directory for each IMA (i.e. each independent functional imaging run).The IMA order map file at the session level maps IMA numbers to order numbers, as defined in the paradigm file.There are four condition types, which are always counterbalanced across runs. The conditions are:Colored Shapes (complete color shape concepts)Uncolored-Color Associated Shapes (Grayscale outlines of the colored shapes)Colored blobs (gaussian blobs of the colors of the colored shapes)Non-Associated shapes (Grayscale outlines of shapes that have not been associated with colors)

Tissue samples were obtained from whole kidney post-nephrectomy without flushing the blood, fixed in formalin for 24 h and washed with saline for 3 d at 4°C prior to scanning. Samples were scanned at room temperature using a Bruker Biospec 16.4 T MRI at the Centre for Advanced Imaging, The University of Queensland. This scanner is equipped with a Micro2.5 gradient (1.5 T/m at 60 A). Microimaging coils appropriate to the size of the samples were used, these included a 15×30 mm surface coil, a 15 mm and a 10 mm volume coil. Samples were either placed in saline or wrapped with paraffin film to minimise air artefacts. MRI was performed using a 3D T1/T2*-weighted gradient echo (GRE) sequence with repetition time TR = 150 ms, echo time TE = 6.2 ms, flip angle 60°. Typically, the field-of-view was ~2.4×1.2×1.2 cm with the matrix sizes set to produce images at 30 μm 3D isotropic resolutions. The acquisition times were approximately 27 h (number of excitations (NEX) = 4). A sine windowing function was applied to the K-space data prior to the Fourier transform to reduce the noise in the 30 μm images. We adapted a state-of-the-art blob detection method introduced by Zhang et al. (DOI: 10.1109/TBME.2014.2360154) for counting glomeruli in contrast-enhanced MRI using Laplacian of Gaussian and Hessian analysis to identify glomeruli in our contrast agent-free MR images. In this three-step algorithm, all blob candidates were first highlighted by convolving the MR image with a Laplacian of Gaussian (LoG) kernel. As the LoG operation is sensitive to edges, an edge filter was applied to remove erroneous blobs detected on the tissue borders. Secondly, the blob structures in the enhanced LoG image were delineated from the surrounding tissue based on their local convexity to filter out non-glomerular structures (e.g. blood vessels). At this stage, regional features were extracted to characterise each blob candidate and non-plausible candidates were removed based on their size, taking into account the reported minimum and maximum size of a glomerulus. Finally, through exhaustive testing, glomerular features comprising of volume (V), second-order structureness (S), and geometric ratio (RB) were selected for post-pruning using Variational Bayesian Gaussian Mixture Model (VBGMM).

Studies on binocular combination and rivalry show that short-term deprivation strengthens the contribution of the deprived eye in binocular vision. However, whether short-term monocular deprivation affects temporal processing per se is not clear. To address this issue, we conducted a study to investigate the effect of monocular deprivation on dichoptic temporal synchrony. We tested ten adults with normal vision and patched their dominant eye with an opaque patch for 2.5 h. A temporal synchrony paradigm was used to measure if temporal synchrony thresholds change as a result of monocular pattern deprivation. In this paradigm, we displayed two pairs of Gaussian blobs flickering at 1 Hz with either the same or different phased- temporal modulation. In Experiment 1, we obtained the thresholds for detecting temporal asynchrony under dichoptic viewing configurations. We compared the thresholds for temporal synchrony between before and after monocular deprivation and found no significant changes of the interocular synchrony. In Experiment 2, we measured the monocular thresholds for detecting temporal asynchrony. We also found no significant changes of the monocular synchrony of either the patched eye or the unpatched eye. Our findings suggest that short-term monocular deprivation induced-plasticity does not influence monocular or dichoptic temporal synchrony at low temporal frequency.