Neuroscience is increasingly making use of statistical and mathematical tools to extract
information from images of biological tissues. Computational neuroimaging tools require …

Neuromorphic computing is considered to be the future of machine learning, and it provides
a new way of cognitive computing. Inspired by the excellent performance of spiking neural …

With the increasing demand for computing machines that more closely model the biological
brain, the field of neuro-inspired computing has progressed to the exploration of Spiking …

Role-based access control (RBAC) has emerged as the dominant access control paradigm
for service-oriented systems, with this dominance being reflected by the popularity of RBAC …

Despite existing work on dealing with security and usability concerns during the early stages
of design, there has been little work on synthesising the contributions of these fields into …

Purpose–The purpose of this paper is to identify the key cultural concepts effecting security
in multi‐organisational systems and align these with design techniques and tools …

Grid technology can offer a powerful infrastructure for a broad spectrum of (scientific)
application areas, but the uptake of grids by" real'applications has been slow. Several …

HealthGrids represent the next generation of advanced healthcare IT and hold the promise
to untangle complex healthcare-data problems by integrating health information systems …

There is a pressing need for data interoperability in neuroscience especially in mental
health and psychiatric research. Heterogeneity of data in the domain is a combination of a …

An association rule generation algorithm usually generates too many rules including a lot of
uninteresting ones. Many interestingness criteria are proposed to prune those uninteresting …