A recurrent neural network model is designed to classify (pretrained) aromatic stimuli and
discriminate noisy stimuli of both similar and different genres, using EEG analysis of the …

Radial Basis Function Neural Network (RBFNN) is a variant of artificial neural network
(ANN) paradigm, utilized in a plethora of fields of studies such as engineering, technology …

In Seed Testing Laboratory (STL), test for other distinguishable variety (ODV) is carried out
for the seed sample received from the seed producer after harvesting. This is done to obtain …

Electroencephalography (EEG) correlates of olfaction are of fundamental and practical
interest for many reasons. In the field of neural technologies, olfactory-based brain-computer …

This paper proposes a novel evolutionary approach to the optimal selection of
electroencephalogram (EEG) electrodes as well as relevant features for effective …

Neural activity research has recently gained significant attention due to its association with
sensory information and behavior control. However, the current methods of brain activity …

A radial basis function neural network-based 2-satisfiability reverse analysis (RBFNN-
2SATRA) primarily depends on adequately obtaining the linear optimal output weights …

Odor identification refers to the capability of the olfactory sense for discerning odors. The
interest in this sense has grown over multiple fields and applications such as multimedia …

Neuroscientists usually determine similarity between EEG electrode signals, by a measure
of pairwise linear dependence among them. However, recent research indicates the …

The present work aims at classifying the 3 different learning levels of a subject during
olfactory memory learning task based on the N400 repetition effects. The paper proposes a …