Abstract Brain-Computer Interfaces (BCI) is an exciting and emerging research area for
researchers and scientists. It is a suitable combination of software and hardware to operate …

Abstract Objective Steady-State Visual Evoked Potentials (SSVEPs) are widely used in Brain-
Computer Interfaces (BCIs) applications. This research aims to estimate the brain sources' …

Background and objective Based on magnetic resonance imaging (MRI), macroscopic
structural and functional connectivity of human brain has been widely explored in the last …

The brain connectivity, as a promising technique to explore brain networks during resting-
states or cognitive tasks, has been employed remarkably in recent years. The aim of this …

This chapter aims to expand the application of fractional-order cumulants to determine the
types of connection and the directions of causalities' interactions among neurons. Fractional …

Assessment of attention is of great importance as one of human cognitive abilities. Although
neuropsychological tests have been developed and used to evaluate the ability to pay …

Various studies have been accomplished in the field of Neuromarketing. But employing the
connectivity method in this field has less been considered. In this study, we tend to …

Introduction: The evaluation of attention as one of the human cognitive abilities is of great
importance. Although methods for assessing attention ability have been developed and …

In this study, we introduce a novel framework for Deep Fuzzy Rule-Based System (DFRBS)
and its extensions and demonstrate its capability in the medical prognostic, brain …

Neuromarketing assists us to uncover the subconscious effects of marketing stimuli on
consumers' brains from a neuroscientific perspective. One of the important effects of brands …