Driven by rapid ongoing advances in computer hardware, neuroscience and computer
science, Artificial Brain research and development are blossoming. This article constitutes …

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 …

Numerical simulations of brain networks are a critical part of our efforts in understanding
brain functions under pathological and normal conditions. For several decades, the …

This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past
several years, provides an in-depth introduction to the main ideas in the computational …

Churchland and Sejnowski address the foundational ideas of the emerging field of
computational neuroscience, examine a diverse range of neural network models, and …

Our knowledge of the brain has evolved over millennia in philosophical, experimental and
theoretical phases. We suggest that the next phase is simulation neuroscience. The main …

Performance of supercomputers has been steadily and exponentially increasing for the past
20 years, and is expected to increase further. This unprecedented computational power …

Neuroscience increasingly uses computational models to assist in the exploration and
interpretation of complex phenomena. As a result, considerable effort is invested in the …

The human brain is exceedingly complex and studying it encompasses gathering
information across a range of levels, from molecular processes to behavior. The sheer …

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 …