Neural network models are potential tools for improving our understanding of complex brain
functions. To address this goal, these models need to be neurobiologically realistic …

Humans use signs, eg, sentences in a spoken language, for communication and thought.
Hence, symbol systems like language are crucial for our communication with other agents …

Due to their open nature and popularity, Android-based devices have attracted several end-
users around the World and are one of the main targets for attackers. Because of the …

Through brain-inspired modeling studies, cognitive neurorobotics aims to resolve dynamics
essential to different emergent phenomena at the level of embodied agency in an object …

The Hurst exponent is used to identify the autocorrelation structure of a stochastic time
series, which allows for detecting persistence in time series data. Traditional signal …

Electronic mail has widely been used for communication purposes, and the spam filter is
required in the e-mail to save storage and protect from security issues. Various techniques …

This study attempts to offer an alternative to the problem of implementing model predictive
controllers (MPC) in conditions where the timescale multiplicity of the process model is not …

Humans excel at applying learned behavior to unlearned situations. A crucial component of
this generalization behavior is our ability to compose/decompose a whole into reusable …

This survey discusses how recent developments in multimodal processing facilitate
conceptual grounding of language. We categorize the information flow in multimodal …

The manner in which humans learn, plan, and decide actions is a very compelling subject.
Moreover, the mechanism behind high-level cognitive functions, such as action planning …