It is nearly 20 years since the concept of a small-world network was first quantitatively
defined, by a combination of high clustering and short path length; and about 10 years since …

Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for
recognizing multivariate responses obtained by gas sensors in various applications. Over …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

We present a neural algorithm for the rapid online learning and identification of odourant
samples under noise, based on the architecture of the mammalian olfactory bulb and …

In this study, we present a highly configurable neuromorphic computing substrate and use it
for emulating several types of neural networks. At the heart of this system lies a mixed-signal …

The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

Computational neuroscience has uncovered a number of computational principles used by
nervous systems. At the same time, neuromorphic hardware has matured to a state where …

Objective. Computation in nervous systems operates with different computational primitives,
and on different hardware, than traditional digital computation and is thus subjected to …

In several application domains, electronic nose systems employing conventional data
processing approaches incur substantial power and computational costs and limitations …

The implementation of neuromorphic methods has delivered promising results for vision and
auditory sensors. These methods focus on mimicking the neuro-biological architecture to …