Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest. This makes the development of tools and strategies to efficiently find these regions of high importance to advance brain research. Exploring the high dimensional parameter space using numerical simulations has been a frequently used technique in the last years in many areas of computational neuroscience. High performance computing (HPC) can provide today a powerful infrastructure to speed up explorations and increase our general understanding of the model's behavior in reasonable times
Computational Neuroscience helped develop mathematical and computational tools for the creation, the...
Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully depl...
The High Performance Analytics and Computing (HPAC) Platform provides the supercomputing, data and v...
Neuroscience models commonly have a high number of degrees of freedom and only specific regions with...
Supercomputing is increasingly available in neuroscience and boosts the ability to create models wit...
Neuroscience is grappling with problems of increasing complexity andscale as exemplified by projects...
Taufer, MichelaOne significant challenge in neuroscience is understanding the cooperative behavior o...
Computational neuroscience aims to investigate and explain the behaviour and functions of neural str...
Experimental research in neuroscience is beginning to rapidly produce high-resolution data of the ce...
Understanding the link between the brain's anatomy and its function through computer simulations of ...
Abstract: Different research projects around the world are trying to emulate the human brain. They e...
Large-scale simulations of neuronal networks provide a unique view onto brain dynamics, complementin...
Neuroscience is witnessing increasing knowledge about the anatomy and electrophysiological propertie...
Computational modelling has emerged as a powerful tool to study the behaviour of complex systems. Co...
Computational Neuroscience is a burgeoning field of research where only the combined effort of neuro...
Computational Neuroscience helped develop mathematical and computational tools for the creation, the...
Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully depl...
The High Performance Analytics and Computing (HPAC) Platform provides the supercomputing, data and v...
Neuroscience models commonly have a high number of degrees of freedom and only specific regions with...
Supercomputing is increasingly available in neuroscience and boosts the ability to create models wit...
Neuroscience is grappling with problems of increasing complexity andscale as exemplified by projects...
Taufer, MichelaOne significant challenge in neuroscience is understanding the cooperative behavior o...
Computational neuroscience aims to investigate and explain the behaviour and functions of neural str...
Experimental research in neuroscience is beginning to rapidly produce high-resolution data of the ce...
Understanding the link between the brain's anatomy and its function through computer simulations of ...
Abstract: Different research projects around the world are trying to emulate the human brain. They e...
Large-scale simulations of neuronal networks provide a unique view onto brain dynamics, complementin...
Neuroscience is witnessing increasing knowledge about the anatomy and electrophysiological propertie...
Computational modelling has emerged as a powerful tool to study the behaviour of complex systems. Co...
Computational Neuroscience is a burgeoning field of research where only the combined effort of neuro...
Computational Neuroscience helped develop mathematical and computational tools for the creation, the...
Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully depl...
The High Performance Analytics and Computing (HPAC) Platform provides the supercomputing, data and v...