G. Prasad

发表

Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study

G. Prasad, P. Herman, D. Coyle, 2010, Journal of NeuroEngineering and Rehabilitation.

Integrated architecture for remote experimentation

T. Martin McGinnity, Girijesh Prasad, Jim Harkin, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

EYE TRACKING AND EYE-BASED HUMAN – COMPUTER INTERACTION

G. Prasad, 2016 .

Functional dissociation of brain rhythms in social coordination

J. Kelso, G. Prasad, M. Naeem, 2012, Clinical Neurophysiology.

PRWGEI: Poisson random walk based gait recognition

J. Condell, G. Prasad, Y. Pratheepan, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

A time-series prediction approach for feature extraction in a brain-computer interface

T.M. McGinnity, G. Prasad, D. Coyle, 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Towards the Optimization of Gaze-Controlled Human-Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients

KongFatt Wong-Lin, G. Prasad, H. Cecotti, 2017 .

Automatic Gait Recognition and its Potential Role in Counterterrorism

J. Condell, G. Prasad, J. Connolly, 2018 .

Single-trial effective brain connectivity patterns enhance discriminability of mental imagery tasks

G. Prasad, H. Cecotti, Dheeraj Rathee, 2017, Journal of neural engineering.

Directed Functional Connectivity in Fronto-Centroparietal Circuit Correlates With Motor Adaptation in Gait Training

Girijesh Prasad, Vahab Youssofzadeh, KongFatt Wong-Lin, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Psychophysiology and Autonomic Responses Perspective for Advancing Hybrid Brain-Computer Interface Systems

Girijesh Prasad, Rakesh Kumar Sinha, G. Prasad, 2013 .

Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks

Girijesh Prasad, Ashish Dutta, Dheeraj Rathee, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Computational Neurology: Computational Modeling Approaches in Dementia

Nadim A. A. Atiya, Liam P. Maguire, KongFatt Wong-Lin, 2020, 2005.02214.

Revealing the Dynamic Relationship Between Neural Population Activities in Corticoraphe System

KongFatt Wong-Lin, C. Behera, G. Prasad, 2020, 2020 31st Irish Signals and Systems Conference (ISSC).

Neural Circuit Interactions between the Dorsal Raphe Nucleus and the Lateral Hypothalamus: An Experimental and Computational Study

T. Martin McGinnity, Girijesh Prasad, KongFatt Wong-Lin, 2014, PloS one.

Covariate Shift Detection based Adaptive Brain-Computer Interface to Trigger Hand Exoskeleton Feedback for NeuroRehabilitation

G. Prasad, Y. Meena, A. Dutta, 2017 .

Bispectrum-based feature extraction technique for devising a practical brain–computer interface

Girijesh Prasad, Shahjahan Shahid, G. Prasad, 2011, Journal of neural engineering.

A Covariate Shift Minimization Method to Alleviate Non-Stationarity Effects for an Adaptive Brain-Computer Interface

Cuntai Guan, G. Prasad, D. Coyle, 2010 .

Optimal frequency band selection with particle swarm optimization for a brain computer interface

Girijesh Prasad, Damien Coyle, A Satti, 2008 .

Recurrent Quantum Neural Network based EEG signal denoising for a Brain-Computer Interface

Vaibhav Gandhi, L. Behera, G. Prasad, 2011 .

Erratum to "An on-line algorithm for creating self-organizing fuzzy neural networks" [Neural Networks 17(10)(2004)1477-1493]

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2006, Neural Networks.

Imaging cortical engagement during motor imagery, mental arithmetic, and silent word generation using MEG beta rhythm

L. Parkkonen, G. Prasad, M. Raghavan, 2022, bioRxiv.

Increased number of orexin/hypocretin neurons with high and prolonged external stress-induced depression

C. Hölscher, KongFatt Wong-Lin, G. Prasad, 2014, Behavioural Brain Research.

Regional optimum frequency analysis of resting-state fMRI data for early detection of Alzheimer’s disease biomarkers

G. Prasad, D. Coyle, T. Nakai, 2022, Multimedia Tools and Applications.

Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis

KongFatt Wong-Lin, S. Todd, G. Prasad, 2021, IEEE Journal of Biomedical and Health Informatics.

Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality

KongFatt Wong-Lin, G. Prasad, M. Naeem, 2015, Neuroinformatics.

Detection of Dyslexic Children Using Machine Learning and Multimodal Hindi Language Eye-Gaze-Assisted Learning System

G. Prasad, H. Cecotti, Y. Meena, 2023, IEEE Transactions on Human-Machine Systems.

A practical computerized decision support system for predicting the severity of Alzheimer’s disease of an individual

Stephen Todd, KongFatt Wong-Lin, Girijesh Prasad, 2019, bioRxiv.

A neural circuit model of decision uncertainty and change-of-mind

KongFatt Wong-Lin, Girijesh Prasad, Iñaki Rañó, 2019, Nature Communications.

Neural Circuit Mechanism of Decision Uncertainty and Change-of-Mind

KongFatt Wong-Lin, Girijesh Prasad, Nadim Atiya, 2018, bioRxiv.

Signal Propagation in the Human Visual Pathways: An Effective Connectivity Analysis

Girijesh Prasad, Vahab Youssofzadeh, KongFatt Wong-Lin, 2015, The Journal of Neuroscience.

Estimation and quantification of vigilance using ERPs and eye blink rate with a fuzzy model-based approach

Girijesh Prasad, Monalisa Sarma, Debasis Samanta, 2018, Cognition, Technology & Work.

Classification of propofol-induced sedation states using brain connectivity analysis

Girijesh Prasad, Dheeraj Rathee, Hubert Cecotti, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Computational Intelligence Approaches to Brain Signal Pattern Recognition

Girijesh Prasad, Tm McGinnity, Pawel Herman, 2008 .

Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2014, IEEE Transactions on Neural Networks and Learning Systems.

An Early Stage Researcher's Primer on Systems Medicine Terminology

Haiying, D. H. Glass, Nadim A. A. Atiya, 2020, Network and systems medicine.

Can a Single Model Deep Learning Approach Enhance Classification Accuracy of an EEG-based Brain-Computer Interface?

Girijesh Prasad, Sujit Roy, Karl McCreadie, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Robust EEG/MEG Based Functional Connectivity with the Envelope of the Imaginary Coherence: Sensor Space Analysis

Girijesh Prasad, KongFatt Wong-Lin, Jose M. Sanchez Bornot, 2018, Brain Topography.

The interplay between DNA methylation, folate and neurocognitive development.

H. McNulty, K. Pentieva, G. Prasad, 2016, Epigenomics.

Inter-brain Mutual Information in Social Interaction Tasks

T. Martin McGinnity, Girijesh Prasad, KongFatt Wong-Lin, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface

Girijesh Prasad, Dheeraj Rathee, Hubert Cecotti, 2018, Neurocomputing.

Adaptive learning with covariate shift-detection for motor imagery-based brain–computer interface

Girijesh Prasad, Yuhua Li, Hubert Cecotti, 2015, Soft Computing.

A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification

Girijesh Prasad, Hubert Cecotti, Haider Raza, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface

Girijesh Prasad, Yuhua Li, Hubert Cecotti, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces

Girijesh Prasad, Yuhua Li, Hubert Cecotti, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Adaptive learning with covariate shift-detection for non-stationary environments

Girijesh Prasad, Yuhua Li, Haider Raza, 2014, 2014 14th UK Workshop on Computational Intelligence (UKCI).

Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2010, Biomed. Signal Process. Control..

Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain–Computer Interface

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Identifying Local Ultrametricity of EEG Time Series for Feature Extraction in a Brain-Computer Interface

D. Coyle, T.M. McGinnity, G. Prasad, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Non-stationarity Removal Techniques in MEG Data: A Review

G. Prasad, D. Hemanth, Beril Susan Philip, 2022, Procedia Computer Science.

A T-S fuzzy based adaptive critic for continuous-time input affine nonlinear systems

Girijesh Prasad, Nazmul H. Siddique, Laxmidhar Behera, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Adaptive critic based redundancy resolution scheme for robot manipulators

Girijesh Prasad, Laxmidhar Behera, P. Prem Kumar, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Gaussian Mixture Models for Brain Activation Detection from fMRI Data

Girijesh Prasad, Damien Coyle, Lalit Garg, 2011 .

Cluster-permutation statistical analysis for high-dimensional brain-wide functional connectivity mapping

Girijesh Prasad, Jose M. Sanchez-Bornot, Maria E. Lopez, 2019, bioRxiv.

Gaussian Mixture Model-based noise reduction in resting state fMRI data

Girijesh Prasad, Gaurav Garg, Damien Coyle, 2013, Journal of Neuroscience Methods.

Neurofeedback with low-cost, wearable electroencephalography (EEG) reduces symptoms in chronic Post-Traumatic Stress Disorder.

G. Prasad, D. Coyle, L. Mutesa, 2021, Journal of affective disorders.

Faster Self-Organizing Fuzzy Neural Network Training and Improved Autonomy withTime-Delayed Synapses for Locally Recurrent Learning

Girijesh Prasad, Damien Coyle, Tm McGinnity, 2010 .

An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2005, Fuzzy Sets Syst..

Temporal Dynamics of Neural Processing of Facial Expressions and Emotions

G. Prasad, Nicola Molinaro, B. Bhushan, 2021, bioRxiv.

Electrophysiological signatures of intentional social coordination in the 10–12Hz range

Girijesh Prasad, J. A. Scott Kelso, Muhammad Naeem, 2012, NeuroImage.

An integrated modelling framework for neural circuits with multiple neuromodulators

Girijesh Prasad, KongFatt Wong-Lin, Alok Joshi, 2017, Journal of The Royal Society Interface.

On self-feedback connectivity in neural mass models applied to event-related potentials

Vahab Youssofzadeh, KongFatt Wong-Lin, Girijesh Prasad, 2015, NeuroImage.

A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2005, EURASIP J. Adv. Signal Process..

Extracting features for a brain-computer interface by self-organising fuzzy neural network-based time series prediction

T.M. McGinnity, D. Coyle, G. Prasad, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Effects of maternal folic acid supplementation during the second and third trimesters of pregnancy on neurocognitive development in the child: an 11-year follow-up from a randomised controlled trial

H. McNulty, K. Pentieva, J. Strain, 2021, BMC Medicine.

EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments

Girijesh Prasad, Yuhua Li, Haider Raza, 2015, Pattern Recognit..

Dataset Shift Detection in Non-stationary Environments Using EWMA Charts

Girijesh Prasad, Yuhua Li, Haider Raza, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments

Girijesh Prasad, Yuhua Li, Haider Raza, 2013, AIAI.

An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface

Hui Wang, Girijesh Prasad, Ram Bilas Pachori, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces

Girijesh Prasad, Hubert Cecotti, Haider Raza, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Enhancing an Eye-Tracker based Human-Computer Interface with Multi-modal Accessibility Applied for Text Entry

Girijesh Prasad, Jai Vardhan Singh, G. Prasad, 2015 .

Evolving learning mechanism for a general computing network model

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion

Girijesh Prasad, Liam P. Maguire, Sina Rezvani, 2004, Eng. Appl. Artif. Intell..

A self-organizing computing network for decision-making in data sets with a diversity of data types

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2006, IEEE Transactions on Knowledge and Data Engineering.

Designing a robust type-2 fuzzy logic classifier for non-stationary systems with application in brain-computer interfacing

T. Martin McGinnity, Girijesh Prasad, Pawel Andrzej Herman, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers

Girijesh Prasad, KongFatt Wong-Lin, Farzin Deravi, 2021, Sensors.

Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability

Anirban Chowdhury, Girijesh Prasad, Yogesh Kumar Meena, 2018, IEEE Journal of Biomedical and Health Informatics.

Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2006, IEEE Transactions on Fuzzy Systems.

A novel intelligent approach to anchorage measurement using electron microscopy

Girijesh Prasad, Nazmul H. Siddique, Liam P. Maguire, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Design and evaluation of a time adaptive multimodal virtual keyboard

KongFatt Wong-Lin, Hubert Cecotti, Girijesh Prasad, 2019, Journal on Multimodal User Interfaces.

Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain–Computer Interface Classification of Motor Imagery Induced EEG Patterns

T. Martin McGinnity, Girijesh Prasad, Pawel Andrzej Herman, 2017, IEEE Transactions on Fuzzy Systems.

Using motor imagery based brain-computer interface for post-stroke rehabilitation

Girijesh Prasad, Damien Coyle, Pawel Herman, 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.

An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation

Anirban Chowdhury, Girijesh Prasad, Yogesh Kumar Meena, 2019, Journal of Neuroscience Methods.

Single-trial detection of realistic images with magnetoencephalography

Girijesh Prasad, Hubert Cecotti, G. Prasad, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2015, Neurocomputing.

EEG-Based Mobile Robot Control Through an Adaptive Brain–Robot Interface

T. Martin McGinnity, Girijesh Prasad, Laxmidhar Behera, 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

EEG denoising with a recurrent quantum neural network for a brain-computer interface

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2011, The 2011 International Joint Conference on Neural Networks.

A multi-class brain-computer interface with SOFNN-based prediction preprocessing

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Creating a Nonparametric Brain-Computer Interface with Neural Time-Series Prediction Preprocessing

T.M. McGinnity, G. Prasad, D. Coyle, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2006, EUROS.

A Novel Discretizer for Knowledge Discovery Based on Multiknowledge Approaches

Qingxiang Wu, Girijesh Prasad, Tm McGinnity, 2006 .

A framework for autonomic software

T. Martin McGinnity, Girijesh Prasad, Bridget Meehan, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

A multimodal interface to resolve the Midas-Touch problem in gaze controlled wheelchair

KongFatt Wong-Lin, Yogesh Kumar Meena, Hubert Cecotti, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Individual Identification Using Gait Sequences under Different Covariate Factors

Girijesh Prasad, Joan Condell, Yogarajah Pratheepan, 2009, ICVS.

Body Language Based Individual Identification in Video Using Gait and Actions

Girijesh Prasad, Philip H. S. Torr, Joan Condell, 2008, ICISP.

Mapping and decoding cortical engagement during motor imagery, mental arithmetic, and silent word generation using MEG

L. Parkkonen, G. Prasad, M. Raghavan, 2023, Human brain mapping.

Data analysis methods for neuroimaging data pre-processing to decode cognitive tasks using logistic regression for BCI applications

Girijesh Prasad, Francis Mason, Sujit Roy, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces

Anirban Chowdhury, Girijesh Prasad, Sujit Roy, 2020, Frontiers in Neuroscience.

Online Covariate Shift Detection-Based Adaptive Brain–Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation

Anirban Chowdhury, Girijesh Prasad, Yogesh Kumar Meena, 2018, IEEE Transactions on Cognitive and Developmental Systems.

A design for a self-organizing fuzzy neural network based on the genetic algorithm

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Channel Selection Improves MEG-based Brain-Computer Interface

Girijesh Prasad, Dheeraj Rathee, Sujit Roy, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

Corticomuscular Co-Activation Based Hybrid Brain-Computer Interface for Motor Recovery Monitoring

Girijesh Prasad, Ashish Dutta, Anirban Chowdhury, 2020, IEEE Access.

Can Corticomuscular Coupling be Useful in Designing Hybrid-Brain Robot Interfaces Towards Hand Functional Recovery?

Anirban Chowdhury, Girijesh Prasad, G. Prasad, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Is Sensorimotor BCI Performance Influenced Differently by Mono, Stereo, or 3-D Auditory Feedback?

Girijesh Prasad, Karl A. McCreadie, Damien H. Coyle, 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification

T.M. McGinnity, P. Herman, G. Prasad, 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis

Vahab Youssofzadeh, KongFatt Wong-Lin, Sunil K. Agrawal, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data

Girijesh Prasad, Dheeraj Rathee, Karl McCreadie, 2020, Journal of neural engineering.

A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data

KongFatt Wong-Lin, Girijesh Prasad, Xuemei Ding, 2018, Scientific Reports.

Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality

Vahab Youssofzadeh, KongFatt Wong-Lin, Girijesh Prasad, 2015, Neuroinformatics.

Propofol-induced sedation diminishes the strength of frontal-parietal-occipital EEG network

Girijesh Prasad, Dheeraj Rathee, Hubert Cecotti, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Mu and beta rhythm modulations in motor imagery related post-stroke EEG: a study under BCI framework for post-stroke rehabilitation

Girijesh Prasad, Rakesh Kumar Sinha, Shahjahan Shahid, 2010, BMC Neuroscience.

On fusion of heart and brain signals for hybrid BCI

G. Prasad, G. Prasad, R. K. Sinha, 2011, 2011 5th International IEEE/EMBS Conference on Neural Engineering.

A Covariate Shift Minimisation Method to Alleviate Non-stationarity Effects for an Adaptive Brain-Computer Interface

Girijesh Prasad, Cuntai Guan, Damien Coyle, 2010, 2010 20th International Conference on Pattern Recognition.

Spatio-spectral & temporal parameter searching using class correlation analysis and particle swarm optimization for a brain computer interface

Girijesh Prasad, Damien Coyle, Abdul Rehman Satti, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Continuous EEG classification for a self-paced BCI

Girijesh Prasad, Damien Coyle, Abdul Satti, 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.

A Covariate Shift Minimization Method to Alleviate Non-Stationarity Effects for an Adaptive Brain-Computer Interface

Cuntai Guan, G. Prasad, D. Coyle, 2010 .

An Application Directed Adaptive Framework for Autonomic Software

T. Martin McGinnity, Girijesh Prasad, Bridget Meehan, 2008, J. Softw..

Current Source Density Estimation Enhances the Performance of Motor-Imagery-Related Brain–Computer Interface

Girijesh Prasad, Dheeraj Rathee, Hubert Cecotti, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation

Girijesh Prasad, Ram Bilas Pachori, Hui Wang, 2021, Biomed. Signal Process. Control..

Network properties of a computational model of the dorsal raphe nucleus

T. Martin McGinnity, Girijesh Prasad, KongFatt Wong-Lin, 2012, Neural Networks.

A spiking neuronal network model of the dorsal raphe nucleus

T. Martin McGinnity, KongFatt Wong-Lin, Girijesh Prasad, 2011, The 2011 International Joint Conference on Neural Networks.

Enhancing gait based person identification using joint sparsity model and ℓ1-norm minimization

Girijesh Prasad, Joan Condell, Priyanka Chaurasia, 2015, Inf. Sci..

Hand-Exoskeleton Assisted Progressive Neurorehabilitation Using Impedance Adaptation Based Challenge Level Adjustment Method

Anirban Chowdhury, Girijesh Prasad, Yogesh Kumar Meena, 2019, IEEE Transactions on Haptics.

A Single Network Adaptive Critic-Based Redundancy Resolution Scheme for Robot Manipulators

Girijesh Prasad, Laxmidhar Behera, Prem Kumar Patchaikani, 2012, IEEE Trans. Ind. Electron..

On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

On-line Identification of Self-organizing Fuzzy Neural Networks for Modelling Time-varying Complex Systems

Girijesh Prasad, Damien Coyle, Tm McGinnity, 2010 .

Fusion of Random Walk and Discrete Fourier Spectrum Methods for Gait Recognition

Girijesh Prasad, Joan Condell, Priyanka Chaurasia, 2017, IEEE Transactions on Human-Machine Systems.

Biometrics and counter-terrorism: the case of gait recognition

Girijesh Prasad, Joan Condell, Priyanka Chaurasia, 2015 .

The Use of Dynamic and Static Characteristics of Gait for Individual Identification

Girijesh Prasad, Joan Condell, Yogarajah Pratheepan, 2009, 2009 13th International Machine Vision and Image Processing Conference.

A mathematical model to explore the interdependence between the serotonin and orexin/hypocretin systems

T. Martin McGinnity, KongFatt Wong-Lin, Girijesh Prasad, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Predicting feature imputability in the absence of ground truth pdf

Stephen Todd, Girijesh Prasad, KongFatt Wong-Lin, 2020, ICML 2020.

M / EEG-based Biomarkers to predict the Mild Cognitive Impairment and Alzheimer ' s disease : A Review from the Machine Learning Perspective

Girijesh Prasad, KongFatt Wong-Lin, Su Yang, 2019 .

Functional Differences in the Neural Substrates of Auditory Cognition as a Consequence of Music Training

KongFatt Wong-Lin, G. Prasad, M. Elliott, 2021, bioRxiv.

MIEEG-GAN: Generating Artificial Motor Imagery Electroencephalography Signals

Girijesh Prasad, Shirin Dora, Sujit Roy, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Improvement of Decision Accuracy Using Discretization of Continuous Attributes

Qingxiang Wu, Guilin Qi, David A. Bell, 2006, FSKD.

A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2006, RSKT.

Towards increasing the number of commands in a hybrid brain-computer interface with combination of gaze and motor imagery

KongFatt Wong-Lin, Yogesh Kumar Meena, Hubert Cecotti, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An Automatic Subject Specific Intrinsic Mode Function Selection for Enhancing Two-Class EEG-Based Motor Imagery-Brain Computer Interface

Girijesh Prasad, Ram Bilas Pachori, Hui Wang, 2019, IEEE Sensors Journal.

An on-line algorithm for creating self-organizing fuzzy neural networks

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2004, Neural Networks.

Cortico-Muscular-Coupling and Covariate Shift Adaptation based BCI for Personalized Neuro-Rehabilitation of Stroke Patients

Girijesh Prasad, Ashish Dutta, Haider Raza, 2016 .

Exploring gaze-motor imagery hybrid brain-computer interface design

Yogesh Kumar Meena, Girijesh Prasad, Hubert Cecotti, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry

Hui Wang, Girijesh Prasad, Ram Bilas Pachori, 2018, Expert Syst. Appl..

On self-feedback connectivity in neural mass models applied to event-related potentials

KongFatt Wong-Lin, G. Prasad, V. Youssofzadeh, 2015, NeuroImage.