[CARTE][B] Time-space, spiking neural networks and brain-inspired artificial intelligence

NK Kasabov - 2019 - Springer
Everything exists and evolves within time–space and time–space is within everything, from a
molecule to the universe. Understanding the complex relationship between time and space …

RETRACTED ARTICLE: EEG signal classification using LSTM and improved neural network algorithms

P Nagabushanam, S Thomas George, S Radha - Soft Computing, 2020 - Springer
Neural network (NN) finds role in variety of applications due to combined effect of feature
extraction and classification availability in deep learning algorithms. In this paper, we have …

Deep learning in EEG: Advance of the last ten-year critical period

S Gong, K **, learning, visualization, classification, and understanding of fMRI data in the NeuCube evolving spatiotemporal data machine of spiking neural networks
NK Kasabov, MG Doborjeh… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper introduces a new methodology for dynamic learning, visualization, and
classification of functional magnetic resonance imaging (fMRI) as spatiotemporal brain data …

Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework

O Al Zoubi, M Awad, NK Kasabov - Artificial intelligence in medicine, 2018 - Elsevier
Recent technological advances in machine learning offer the possibility of decoding
complex datasets and discern latent patterns. In this study, we adopt Liquid State Machines …

Classification of sleep quality and aging as a function of brain complexity: A multiband non-linear EEG analysis

L Penalba-Sánchez, G Silva, M Crook-Rumsey… - Sensors, 2024 - mdpi.com
Understanding and classifying brain states as a function of sleep quality and age has
important implications for develo** lifestyle-based interventions involving sleep hygiene …

Spiking neural network modelling approach reveals how mindfulness training rewires the brain

Z Doborjeh, M Doborjeh, T Taylor, N Kasabov… - Scientific reports, 2019 - nature.com
There has been substantial interest in Mindfulness Training (MT) to understand how it can
benefit healthy individuals as well as people with a broad range of health conditions …