_ Ichange in neuro-science! A decade ago a computer sci-entist who approached a
neurobiologist with a new model of how the Third in aseri brain works was likely to get a …

The brain is the most complex system we know of. Despite the wealth of data available in
neuroscience, our understanding of this system is still very limited. Here we argue that an …

Mature simulation systems for Spiking Neural Networks (SNNs) become more relevant than
ever for understanding the brain and supporting neuromorphic computing. The CARL-sim …

A number of leading cognitive architectures that are inspired by the human brain, at various
levels of granularity, are reviewed and compared, with special attention paid to the way their …

Neuroscience currently lacks a comprehensive theory of how cognitive processes can be
implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes …

Designing a biologically inspired neural architecture as a controller for a complete animat or
physical robot environment, to test the hypotheses on intelligence or cognition is non-trivial …

The simultaneous study of brain function at all levels of organization is difficult to undertake
with current experimental tools. Present day electrophysiology only allows the recording of …

Dedicated hardware is becoming increasingly essential to simulate emerging very-large-
scale neural models. Equally, however, it needs to be able to support multiple models of the …

With the advent of powerful parallel computers, efforts have commenced to simulate
complete mammalian brains. However, so far none of these efforts has produced outcomes …