The introduction of novel imaging technologies always carries new challenges regarding the processing of the captured images. Polarized Light Imaging (PLI) is such a new technique. It enables the mapping of single ner...
详细信息
To understand the microscopical organization of the human brain including cellular and fiber architectures it is a necessary prerequisite to build virtual models of the brain on a sound biological basis. 3D Polarized ...
详细信息
Dynamic PET brain studies are common in research and are becoming common in clinical applications. simulation of dynamic PET is an important step to validate techniques and methods. This study compares the CPU and GPU...
详细信息
Biological nervous systems exhibit astonishing complexity. Neuroscientists aim to capture this complexity by modeling and simulation of biological processes. Often very complex models are necessary to depict the proce...
详细信息
ISBN:
(纸本)9783885796480
Biological nervous systems exhibit astonishing complexity. Neuroscientists aim to capture this complexity by modeling and simulation of biological processes. Often very complex models are necessary to depict the processes, which makes it difficult to create these models. Powerful tools are thus necessary, which enable neuroscientists to express models in a comprehensive and concise way and generate efficient code for digital simulations. Several modeling languages for computational neuroscience have been proposed [Gl10, Ra11]. However, as these languages seek simulator independence they typically only support a subset of the features desired by the modeler. In this article, we present the modular and extensible domain specific language NESTML, which provides neuroscience domain concepts as first-class language constructs and supports domain experts in creating neuron models for the neural simulation tool NEST. NESTML and a set of example models are publically available on GitHub.
Dynamic PET brain studies are common in research and are becoming common in clinical applications. simulation of dynamic PET is an important step to validate techniques and methods. This study compares the CPU and GPU...
详细信息
Dynamic PET brain studies are common in research and are becoming common in clinical applications. simulation of dynamic PET is an important step to validate techniques and methods. This study compares the CPU and GPU version of a GATE simulation running on a high-performance computing system. We simulated the Siemens 3T MR-BrainPET with dynamic brain activity. The results show close agreement in the number of coincidence events, including phantom scatter, which we made available in the output of GPU simulation through code changes. The code will be made available to the GATE community and the simulation data is available to the interested researchers.
暂无评论