KongFatt Wong-Lin

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 30

Top Topics

Spiking Neural Networks

Missing Data Imputation

Stability Analysis

Disease Diagnosis

Top Venues

PLoS Comput. Biol.

Publications

Jie Hao, Jiawei Zou, Jiaqiang Zhang, Ke Chen, Duojiao Wu, Wei Cao, Guoguo Shang, Jean Yee Hwa Yang, KongFatt Wong-Lin, Hourong Sun, Zhen Zhang, Xiangdong Wang, Wantao Chen, Xin Zou
scSTAR reveals hidden heterogeneity with a real-virtual cell pair structure across conditions in single-cell RNA sequencing data. Briefings Bioinform. 24 (2) (2023)
Niamh McCombe, Shuo Liu, Xuemei Ding, Girijesh Prasad, Magda Bucholc, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin
Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. IEEE J. Biomed. Health Informatics 26 (2) (2022)
Chandan K. Behera, Alok Joshi, Da-Hui Wang, Trevor Sharp, KongFatt Wong-Lin
Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration. Frontiers Comput. Neurosci. 16 (2022)
Niamh McCombe, Alok Joshi, David P. Finn, Paula L. McClean, Gemma Roberts, John T. O'Brien, Alan J. Thomas, Joseph P. M. Kane, KongFatt Wong-Lin
Distinguishing Lewy Body Dementia from Alzheimer's Disease using Machine Learning on Heterogeneous Data: A Feasibility Study. EMBC (2022)
Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin, Neuroimaging Initiative
Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. EMBC (2022)
Alok Joshi, Stephen Todd, David P. Finn, Paula L. McClean, KongFatt Wong-Lin
Multi-dimensional relationships among dementia, depression and prescribed drugs in England and Wales hospitals. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, Sanaul Hoque, KongFatt Wong-Lin, Girijesh Prasad
Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers. Sensors 21 (18) (2021)
James FitzGerald, KongFatt Wong-Lin
Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms. CoRR (2021)
Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin
Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. ECC (2021)
Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, KongFatt Wong-Lin, Girijesh Prasad
Integrated space-frequency-time domain feature extraction for MEG-based Alzheimer's disease classification. Brain Informatics 8 (1) (2021)
Nadim A. A. Atiya, Arkady Zgonnikov, Denis O'Hora, Martin Schoemann, Stefan Scherbaum, KongFatt Wong-Lin
Changes-of-mind in the absence of new post-decision evidence. PLoS Comput. Biol. 16 (2) (2020)
Ifeatu Ezenwe, Alok Joshi, KongFatt Wong-Lin
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model. CoRR (2020)
William Paul Boyce, Anthony Lindsay, Arkady Zgonnikov, Iñaki Rañó, KongFatt Wong-Lin
Optimality and Limitations of Audio-Visual Integration for Cognitive Systems. Frontiers Robotics AI 7 (2020)
Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin
Predicting feature imputability in the absence of ground truth. CoRR (2020)
Magda Bucholc, Xuemei Ding, Haiying Wang, David H. Glass, Hui Wang, Girijesh Prasad, Liam P. Maguire, Anthony J. Bjourson, Paula L. McClean, Stephen Todd, David P. Finn, KongFatt Wong-Lin
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Expert Syst. Appl. 130 (2019)
Su Yang, Jose Miguel Sanchez Bornot, KongFatt Wong-Lin, Girijesh Prasad
M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective. IEEE Trans. Biomed. Eng. 66 (10) (2019)
William Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rañó, KongFatt Wong-Lin
Optimality and limitations of audio-visual integration for cognitive systems. CoRR (2019)
Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad
Design and evaluation of a time adaptive multimodal virtual keyboard. J. Multimodal User Interfaces 13 (4) (2019)
Huanyuan Zhou, KongFatt Wong-Lin, Da-Hui Wang
Parallel Excitatory and Inhibitory Neural Circuit Pathways Underlie Reward-Based Phasic Neural Responses. Complex. 2018 (2018)
Shufan Yang, KongFatt Wong-Lin, James Andrew, Terrence S. T. Mak, T. Martin McGinnity
A neuro-inspired visual tracking method based on programmable system-on-chip platform. Neural Comput. Appl. 30 (9) (2018)
Kevin Breslin, John Joseph Wade, KongFatt Wong-Lin, Jim Harkin, Bronac Flanagan, Harm Van Zalinge, Steve Hall, Matthew C. Walker, Alexei Verkhratsky, Liam McDaid
Potassium and sodium microdomains in thin astroglial processes: A computational model study. PLoS Comput. Biol. 14 (5) (2018)
Bronac Flanagan, Liam McDaid, John J. Wade, KongFatt Wong-Lin, Jim Harkin
A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability. PLoS Comput. Biol. 14 (4) (2018)
Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin
A drift diffusion model of biological source seeking for mobile robots. ICRA (2017)
Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad
A multimodal interface to resolve the Midas-Touch problem in gaze controlled wheelchair. EMBC (2017)
Arkady Zgonnikov, Iñaki Rañó, Denis O'Hora, KongFatt Wong-Lin
Walking dynamics of intertemporal choice. CogSci (2017)
Yogesh Kumar Meena, Anirban Chowdhury, Hubert Cecotti, KongFatt Wong-Lin, Shyam Sunder Nishad, Ashish Dutta, Girijesh Prasad
EMOHEX: An eye tracker based mobility and hand exoskeleton device for assisting disabled people. SMC (2016)
Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad
A novel multimodal gaze-controlled Hindi virtual keyboard for disabled users. SMC (2016)
Vahab Youssofzadeh, Girijesh Prasad, Muhammad Naeem, KongFatt Wong-Lin
Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality. Neuroinformatics 14 (1) (2016)
Vahab Youssofzadeh, Girijesh Prasad, KongFatt Wong-Lin
On self-feedback connectivity in neural mass models applied to event-related potentials. NeuroImage 108 (2015)
Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad
Towards increasing the number of commands in a hybrid brain-computer interface with combination of gaze and motor imagery. EMBC (2015)
Maell Cullen, KongFatt Wong-Lin
Analysis of a computational model of dopamine synthesis and release through perturbation. BIBM (2014)
Vahab Youssofzadeh, Damiano Zanotto, Paul Stegall, Muhammad Naeem, KongFatt Wong-Lin, Sunil K. Agrawal, Girijesh Prasad
Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis. EMBC (2014)
Gordon Flower, KongFatt Wong-Lin
Reduced Computational Models of Serotonin Synthesis, Release, and Reuptake. IEEE Trans. Biomed. Eng. 61 (4) (2014)
Ritwik K. Niyogi, KongFatt Wong-Lin
Dynamic Excitatory and Inhibitory Gain Modulation Can Produce Flexible, Robust and Optimal Decision-making. PLoS Comput. Biol. 9 (6) (2013)
Xin Zou, Damien Coyle, KongFatt Wong-Lin, Liam P. Maguire
Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics. J. Comput. Neurosci. 32 (3) (2012)
Muhammad Naeem, T. Martin McGinnity, David R. Watson, KongFatt Wong-Lin, Girijesh Prasad, J. A. Scott Kelso
Inter-brain Mutual Information in Social Interaction Tasks. PRNI (2012)
KongFatt Wong-Lin, Alok Joshi, Girijesh Prasad, T. Martin McGinnity
Network properties of a computational model of the dorsal raphe nucleus. Neural Networks 32 (2012)
Alok Joshi, KongFatt Wong-Lin, T. Martin McGinnity, Girijesh Prasad
A mathematical model to explore the interdependence between the serotonin and orexin/hypocretin systems. EMBC (2011)
Philip Eckhoff, KongFatt Wong-Lin, Philip Holmes
Dimension Reduction and Dynamics of a Spiking Neural Network Model for Decision Making under Neuromodulation. SIAM J. Appl. Dyn. Syst. 10 (1) (2011)
KongFatt Wong-Lin, Girijesh Prasad, T. Martin McGinnity
A spiking neuronal network model of the dorsal raphe nucleus. IJCNN (2011)
Xiang Zhou, KongFatt Wong-Lin, Philip Holmes
Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks. Neural Comput. 21 (8) (2009)
Juan Gao, KongFatt Wong-Lin, Philip Holmes, Patrick Simen, Jonathan D. Cohen
Sequential Effects in Two-Choice Reaction Time Tasks: Decomposition and Synthesis of Mechanisms. Neural Comput. 21 (9) (2009)