Spiking neural networks (SNNs) are inspired by information processing in biology, where
sparse and asynchronous binary signals are communicated and processed in a massively …

The science of consciousness has made great strides by focusing on the behavioural and
neuronal correlates of experience. However, while such correlates are important for …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

Implementing compact, low-power artificial neural processing systems with real-time on-line
learning abilities is still an open challenge. In this paper we present a full-custom mixed …

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 …

Several analog and digital brain-inspired electronic systems have been recently proposed
as dedicated solutions for fast simulations of spiking neural networks. While these …

Patients with persistent ulcerative colitis (UC) are at a higher risk of developing colitis-
associated cancer (CAC). Previous studies have reported that intestinal microbiota …

Machine learning has emerged as the dominant tool for implementing complex cognitive
tasks that require supervised, unsupervised, and reinforcement learning. While the resulting …

Recently, brain-inspired computing models have shown great potential to outperform today's
deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking …

Due to the nature of traffic itself, most traffic forecasting models reported in literature aim at
producing short-term predictions, yet their performance degrades when the prediction …