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The cerebellum plays an essential role in adaptive motor control. Once we are able to build a cerebellar model that runs in realtime, which means that a computer simulation of 1 s in the simulated world completes within 1 s in the real world, the cerebellar model could be used as a realtime adaptive neural controller for physical hardware such as humanoid robots. In this paper, we introduce “Realtime Cerebellum (RC)”, a new implementation of our large-scale spiking network model of the cerebellum, which was originally built to study cerebellar mechanisms for simultaneous gain and timing control and acted as a general-purpose supervised learning machine of spatiotemporal information known as reservoir computing, on a graphics processing unit (GPU). Owing to the massive parallel computing capability of a GPU, RC runs in realtime, while reproducing qualitatively the same simulation results of the Pavlovian delay eyeblink conditioning with the previous version. RC is adopted as a realtime adaptive controller of a humanoid robot, which is instructed to learn a proper timing to swing a bat to hit a flying ball online. These results suggest that RC provides a means to apply the computational power of the cerebellum as a versatile supervised learning machine towards engineering applications.

When we see an optical pattern that has a gradient of the size and/or density of its texture elements, we often perceive a surface that is slanted in depth. Our inquiry was to ask whether the effect of a texture gradient depends on the direction of the gradient (ground, ceiling, and sidewall patterns) or on the position of the observer's head (upward, forward, or downward). In Experiments 1 and 2, a total of 63 observers judged the apparent slant of polka-dot, grid, or flagstone patterns; regardless of head position, the ground patterns were judged to be closer to the frontal plane than were the other patterns. This means that there is a visual anisotropy in head-centric slant perception. To explain this result, we assumed accumulated positional effects of size contrast-that is, a tendency to perceive the size of the upper part of visual space to be larger than the size of the lower part. This hypothesis was examined in two subsequent experiments by reducing the size contrast among the texture elements. When 23 observers viewed regularly arranged same-sized-dot patterns with gradients of the interdot interval and with linear perspective of the dotted lines, anisotropic effects were still detected. When 22 observers viewed dynamic random-dot patterns with gradients of velocity, the anisotropic effects mentioned above were removed in many cases, and the ceiling patterns were sometimes judged to be less slanted than the other patterns. These results partially support the size contrast hypothesis and were compared with the predictions from other hypotheses.

For multi-scale and multi-modal neural modeling, it is needed to handle multiple neural models described at different levels seamlessly. Database technology will become more important for these studies, specifically for downloading and handling the neural models seamlessly and effortlessly. To date, conventional neuroinformatics databases have solely been designed to archive model files, but the databases should provide a chance for users to validate the models before downloading them. In this paper, we report our on-going project to develop a cloud-based web service for online simulation called "Simulation Platform". Simulation Platform is a cloud of virtual machines running GNU/Linux. On a virtual machine, various software including developer tools such as compilers and libraries, popular neural simulators such as GENESIS, NEURON and NEST, and scientific software such as Gnuplot, R and Octave, are pre-installed. When a user posts a request, a virtual machine is assigned to the user, and the simulation starts on that machine. The user remotely accesses to the machine through a web browser and carries out the simulation, without the need to install any software but a web browser on the user's own computer. Therefore, Simulation Platform is expected to eliminate impediments to handle multiple neural models that require multiple software. Highlights? Simulation Platform is a cloud-based online simulation environment. ? We host a cloud of virtual machines (VMs) running GNU/Linux. ? On the VMs, many neuroscience-related software are installed. ? Users can carry out computer simulations on the VMs using a web browser.

Glucagon provocation test was performed in the patients with hypergastrinemia and hyperchlorhydria to investigate its diagnostic value. A paradoxical response of plasma gastrin level in the patients with the Zollinger-Ellison syndrome and a marked decrease of plasma gastrin level in the patients with gastric ulcer, duodenal ulcer, excluded gastric antrum, multiple endocrine adenomatosis, pernicious anemia and chronic renal failure were demonstrated by glucagon infusion. Glucagon provocation test, therefore, was considered to be of great value in the diagnosis of the Zollinger-Ellison syndrome, particularly, in the case of an excluded gastric antrum in which secretin provocation test caused the false positive result because of a marked increase of pancreatic secretion. Glucagon provocation test in combination with secretin provocation test, therefore, is at present the most preferable diagnostic procedure for detecting the Zollinger-Ellison syndrome.U

This report describes a rare case of tubular adenocarcinoma originating in a minor salivary gland at the apex of the tongue. In addition to adenocarcinoma, this patient suffered from Buerger's disease (obstructive thromboangitis) and had an exacerbation in the left forearm during the postoperative period that was successfully treated using intraarterial prostaglandin E1 (PGE1).

Calcinosis universalis associated with dermatomyositis occurred in a 58-year-old woman. Tissues removed from the sublingual region in the patient were studied by ordinary microscopy, electron microscopy, and an electron-microanalytic method. The calcified materials were distributed on collagen fibers and seemed to have a relationship with foci of fibrinoid degeneration. Moreover, globular and/or membranous structures, considered to originate from the degenerate cells of the stroma, were observed in these calcified zones. Some of them contained electron-dense materials. Therefore, the globular and/or membranous structures were thought to be concerned with initial calcification in this case. Furthermore, irregular bone tissue was formed adjacent to the calcified masses. In addition, the calcified materials were identified by X-ray diffraction examination and electron microscopy as hydroxyapatite.

Introduction The INCF Japan-node at RIKEN BSI coordinates activities of neuroinformatics research in Japan. Committees from selected research areas have developed their platforms (PFs) on the base platform system XooNIps http:// xoonips.sourceforge.jp/. Currently eight platforms are opened accessible in public http://www.neuroinf.jp/: Visiome PF, Brain-Machine Interface PF, Invertebrate Brain PF, Neuroimaging PF, Integrative Brain Research PF, Cerebellar Development Transcriptome Database, Cerebellum PF, Dynamic Brain PF. Simulation PF is under development. It is based on a virtual machine technology that provides for testing models and/or software on each platform, including models on ModelDB at SenseLab.