A key element of the European Union’s Human Brain Project (HBP) and other large-scale brain research projects is the simulation of large-scale model networks of neurons. Here, we argue why such simulations will likely be indispensable for bridging the scales between the neuron and system levels in the brain, and why a set of brain simulators based on neuron models at different levels of biological detail should therefore be developed. To allow for systematic refinement of candidate network models by comparison with experiments, the simulations should be multimodal in the sense that they should predict not only action potentials, but also electric, magnetic, and optical signals measured at the population and system levels
Progress in science depends on the effective exchange of ideas among scientists. New ideas can be as...
Modeling work in neuroscience can be classified using two different criteria. The first one is the c...
Investigation in neurophysiology usually involves measurements of large population average signals o...
A key element of the European Union’s Human Brain Project (HBP) and other large-scale brain research...
Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully depl...
The human brain has been described as “the most complex object in the universe.” Its meshwork of 86 ...
Our knowledge of the brain has evolved over millennia in philosophical, experimental and theoretical...
Supercomputing is increasingly available in neuroscience and boosts the ability to create models wit...
Brain function is thought to emerge from the interactions among neuronal populations. Apart from tra...
The Human Brain Project (HBP), the ICT-based Flagship project of the EU, is building research infras...
Despite the impressive amount of financial resources recently invested in carrying out large-scale b...
Modern computational neuroscience strives to develop complex network models to explain dynamics and ...
Decoding the human brain is considered as one of the greatest challenges faced by 21st century scien...
Computational neuroscience aims to investigate and explain the behaviour and functions of neural str...
Large-scale simulations of neuronal networks provide a unique view onto brain dynamics, complementin...
Progress in science depends on the effective exchange of ideas among scientists. New ideas can be as...
Modeling work in neuroscience can be classified using two different criteria. The first one is the c...
Investigation in neurophysiology usually involves measurements of large population average signals o...
A key element of the European Union’s Human Brain Project (HBP) and other large-scale brain research...
Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully depl...
The human brain has been described as “the most complex object in the universe.” Its meshwork of 86 ...
Our knowledge of the brain has evolved over millennia in philosophical, experimental and theoretical...
Supercomputing is increasingly available in neuroscience and boosts the ability to create models wit...
Brain function is thought to emerge from the interactions among neuronal populations. Apart from tra...
The Human Brain Project (HBP), the ICT-based Flagship project of the EU, is building research infras...
Despite the impressive amount of financial resources recently invested in carrying out large-scale b...
Modern computational neuroscience strives to develop complex network models to explain dynamics and ...
Decoding the human brain is considered as one of the greatest challenges faced by 21st century scien...
Computational neuroscience aims to investigate and explain the behaviour and functions of neural str...
Large-scale simulations of neuronal networks provide a unique view onto brain dynamics, complementin...
Progress in science depends on the effective exchange of ideas among scientists. New ideas can be as...
Modeling work in neuroscience can be classified using two different criteria. The first one is the c...
Investigation in neurophysiology usually involves measurements of large population average signals o...