The paper introduces the main principles of spatio-temporal associative memory (STAM)
inspired by learning principles in the human brain and implemented on a brain-inspired …

This paper presents a novel approach, dubbed Falcon-GA, for rule extraction in a Fuzzy
Adaptive Learning Control Network (FALCON) using a Genetic Algorithm (GA). The …

There has been a rapid advancement in developing computational models originating from
the governing principles of quantum mechanics. Quantum computing approaches such as …

Humans learn from a lot of information sources to make decisions. Once this information is
learned in the brain, spatio-temporal associations are made, connecting all these sources …

This study presents a novel method to assess the learning effectiveness using
Electroencephalography (EEG)-based deep learning model. It is difficult to assess the …

Humans learn from a lot of information sources to make decisions. Once this information is
learned in the brain, spatio-temporal associations are made, connecting all these sources …

Humans learn from a lot of information sources to make decisions. Once this information is
learned in the brain, spatio-temporal associations are made, connecting all these sources …

This paper offers for the first time a novel method for creating Predictive Associative
Memories of Time series (PAMeT), where a full set of time series variables is used to create …

The human brain, an unparalleled paradigm for efficient signal processing, fuels the quest to
design brain-like architectures in addressing real-world challenges. Among mimicked …

Navigational behavior, one of the most basic human skills, is affected by the external
environment or certain diseases. Previous studies have focused on the effects of disease on …