306 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of UlsterGB11 papers
- Florida Atlantic UniversityUS6 papers
- Nottingham Trent UniversityGB2 papers
- California Institute of TechnologyUS1 paper
- California State University, FresnoUS1 paper
- Farr InstituteGB1 paper
- Health Data Research UKGB1 paper
- Hotchkiss Brain InstituteCA1 paper
- Indian Statistical InstituteIN1 paper
- Intelligent Systems Research (United States)US1 paper
- Jahangirnagar UniversityBD1 paper
- Northwestern UniversityUS1 paper
11 papers
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models
Jose M. Sanchez-Bornot, Roberto C. Sotero, Scott Kelso +1
State-space models are widely employed across various research disciplines to study unobserved dynamics. Conventional estimation techniques, such as Kalman filtering and expectatio…
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
Pedro Machado, Andreas Oikonomou, Joao Filipe Ferreira +1
The detection of moving objects is a trivial task performed by vertebrate retinas, yet a complex computer vision task. Object-motion-sensitive ganglion cells (OMS-GC) are specialis…
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model
Ifeatu Ezenwe, Alok Joshi, KongFatt Wong-Lin
Neural networks are complex algorithms that loosely model the behaviour of the human brain. They play a significant role in computational neuroscience and artificial intelligence.…
Deep Learning in Mining Biological Data
Mufti Mahmud, M Shamim Kaiser, Amir Hussain
Recent technological advancements in data acquisition tools allowed life scientists to acquire multimodal data from different biological application domains. Broadly categorized in…
Topological portraits of multiscale coordination dynamics
Mengsen Zhang, William D. Kalies, J. A. Scott Kelso +1
Living systems exhibit complex yet organized behavior on multiple spatiotemporal scales. To investigate the nature of multiscale coordination in living systems, one needs a meaning…
Connecting empirical phenomena and theoretical models of biological coordination across scales
Mengsen Zhang, Christopher Beetle, J. A. Scott Kelso +1
Coordination is ubiquitous in living systems. Existing theoretical models of coordination -- from bacteria to brains -- focus on either gross statistics in large-scale systems ($N\…
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface
Haider Raza, Dheeraj Rathee, ShangMing Zhou +2
The non-stationary nature of electroencephalography (EEG) signals makes an EEG-based brain-computer interface (BCI) a dynamic system, thus improving its performance is a challengin…
Spectral dissociation of lateralized pairs of brain rhythms
Emmanuelle Tognoli, J. A. Scott Kelso
Using high resolution spectral methods to uncover neuromarkers of social, cognitive and behavioral function, we have found that hemi-lateralized pairs of oscillations such as left…
Enlarging the scope: grasping brain complexity
Emmanuelle Tognoli, J. A. Scott Kelso
To further advance our understanding of the brain, new concepts and theories are needed. In particular, the ability of the brain to create information flows must be reconciled with…
The coordination dynamics of social neuromarkers
Emmanuelle Tognoli, J. A. Scott Kelso
Social behavior is a complex integrative function that entails many aspects of the brain's sensory, cognitive, emotional and motor capacities. Neural processes are seldom simultane…
Three types of gamma-ray bursts
Soma Mukherjee, Eric D. Feigelson, Gutti Jogesh Babu +3
A multivariate analysis of gamma-ray burst (GRB) bulk properties is presented to discriminate between distinct classes of GRBs. Several variables representing burst duration, fluen…