Although twenty-first century neuroscience is a major scientific enterprise, advances in basic
research have not yet translated into benefits for society. In this paper, I outline seven …

Computational models are increasingly important for studying complex neurophysiological
systems. As scientific tools, it is essential that such models can be reproduced and critically …

Arbor is a new multicompartment neural network simulator currently under development as a
collaboration between the Simulation Lab Neuroscience at the Forschungszentrum Jülich …

The first-generation of BrainScaleS, also referred to as BrainScaleS-1, is a neuromorphic
system for emulating large-scale networks of spiking neurons. Following a'physical …

The brain implements a myriad of global brain functions to support adaptive behaviors.
Despite their seeming innumerability, these emerge from combinations of lower level …

Studying and modeling the brain as a whole is a real challenge. For such systemic models
(in contrast to models of one brain area or aspect), there is a real need for new tools …

Economic decisions arise from evaluation of alternative actions in contexts of motivation and
memory. In the predatory sea-slug Pleurobranchaea the economic decisions of foraging are …

This work presents the first simulation of a large-scale, bio-physically constrained
cerebellum model performed on neuromorphic hardware. A model containing 97,000 …

The computation of the brain relies on the highly efficient communication among billions of
neurons. Such efficiency derives from the brain's plastic and reconfigurable nature, enabling …

Neuroscience modeling experiments often involve multiple complex neural network and cell
model variants, complex input stimuli and input protocols, followed by complex data …