The paper is devoted to the review of the coherence resonance phenomenon in excitable
neural networks. In particular, we explain how coherence can be measured and how noise …

Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …

This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …

Sensors are devices that output signals for sensing physical phenomena and are widely
used in all aspects of our social production activities. The continuous recording of physical …

Designing low-power and flexible artificial neural devices with artificial neural networks is a
promising avenue for creating brain–computer interfaces (BCIs). Herein, we report the …

In this study, we address the issue of whether vibrotactile feedback can enhance the motor
cortex excitability translated into the plastic changes in local cortical areas during motor …

Wireless power is one of the new promising technologies for IoT applications. The use of
arrays for power transfer to free-moving objects has revolutionized wireless power …

Electronic skin that imitates the characteristics and functions of human skin to sense various
external signals and records them as different electrical signals has received extensive …

Machine Learning (ML) offers unique and powerful tools for mental health practitioners to
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …

In the field of complex dynamics, multistable attractors have been gaining significant
attention due to their unpredictability in occurrence and extreme sensitivity to initial …