Cortical neurons emit seemingly erratic trains of action potentials or “spikes,” and neural
network dynamics emerge from the coordinated spiking activity within neural circuits. These …

Highlights•Metastable activity is increasingly being observed in many cortical areas and in a
variety of tasks.•Metastable activity is correlated with sensory and cognitive processes and …

Drawing on the authors' extensive research in the analysis of categorical longitudinal data,
this book focuses on the formulation of latent Markov models and the practical use of these …

A Bayesian linear inversion methodology based on Gaussian mixture models and its
application to geophysical inverse problems are presented in this paper. The proposed …

Human recognition technology is a task that determines the people existing in images with
the purpose of identifying them. However, automatic human recognition at night is still a …

A significant amount of time is spent by software developers in investigating bug reports. It is
useful to indicate when a bug report will be closed, since it would help software teams to …

Artificial intelligence (AI) and machine learning (ML) are transforming organizations and will
soon transform auditing. Many promising areas of AI and ML are within the continuous …

Alongside the rapid progress of Wireless sensor networks (WSNs) technologies, sensors
and networks can rapidly be a victim of distributed attacks. Attackers can perform intrusions …

Sign language is different from spoken language that emphasizes both the audio and verbal
aspects. There are two sign languages applicable in Indonesia, namely Indonesian Signal …

An event-triggered risk-sensitive state estimation problem for hidden Markov models is
investigated in this work. The event-triggered scheme considered is fairly general, which …