introduction: voxel based morphometry is a type of statistical parametric mapping that can be used to investigate the effect of diseases such as epilepsy, alzheimer's disease and parkinson's disease or other agent such as skills on brain structure (white matter, gray matter and cerebrospinal fluid). the aim of this study is evaluate the effectiveness of this method in detection of dif...

The study of the human connectome is becoming more popular due to its potential to reveal the brain function and structure. A critical step in connectome analysis is to parcellate the cortex into coherent regions that can be used to build graphical models of connectivity. Computing an optimal parcellation is of great importance, as this stage can affect the performance of the subsequent analysi...

Local recurrent excitatory circuits are ubiquitous in neocortex, yet little is known about their development or architecture. Here we introduce a quantitative technique for efficient single-cell resolution circuit mapping using 2-photon (2P) glutamate uncaging and analyze experience-dependent neonatal development of the layer 4 barrel cortex local excitatory circuit. We show that sensory experi...

We present a novel method for high quality texture mapping of point-based models without connectivity information. By splatting texture coordinates instead of colors during rendering, our method is capable of mapping a coarse point-based model with high resolution textures. Our method enables us to render a point model with much higher texture resolution than that of the point model itself, hen...