KongFatt Wong-Lin

47 papers A* 1B 4Journal 31Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Toward interpretable schizophrenia detection from EEG using autoencoder and EfficientNet. Pattern Recognit. Lett. Umesh Kumar Naik Mudavath, Shaik Rafi Ahamed, KongFatt Wong-Lin
2025	J	`jnl`	Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm. Neural Comput. Brendan Lenfesty, Saugat Bhattacharyya, KongFatt Wong-Lin
2024	—	`conf`	Alzheimer's Disease Classification Confidence of Individuals Using Deep Learning on Heterogeneous Data. UKCI Afolabi Salami Alausa, Jose Miguel Sanchez Bornot, Abdoreza Asadpour, Paula L. McClean, KongFatt Wong-Lin
2024	—	`conf`	Can Multivariate Granger Causality Detect Directed Connectivity of a Multistable and Dynamic Biological Decision Network Model? UKCI Abdoreza Asadpour, KongFatt Wong-Lin
2024	J	`jnl`	Can multivariate Granger causality detect directed connectivity of a multistable and dynamic biological decision network model? CoRR Abdoreza Asadpour, KongFatt Wong-Lin
2023	J	`jnl`	scSTAR reveals hidden heterogeneity with a real-virtual cell pair structure across conditions in single-cell RNA sequencing data. Briefings Bioinform. 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
2022	J	`jnl`	Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration. Frontiers Comput. Neurosci. Chandan Kumar Behera, Alok Joshi, Da-Hui Wang, Trevor Sharp, KongFatt Wong-Lin
2022	—	`conf`	Distinguishing Lewy Body Dementia from Alzheimer's Disease using Machine Learning on Heterogeneous Data: A Feasibility Study. EMBC 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
2022	J	`jnl`	Multi-dimensional relationships among dementia, depression and prescribed drugs in England and Wales hospitals. BMC Medical Informatics Decis. Mak. Alok Joshi, Stephen Todd, David P. Finn, Paula L. McClean, KongFatt Wong-Lin
2022	—	`conf`	Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. EMBC Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin, Neuroimaging Initiative
2022	J	`jnl`	Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. IEEE J. Biomed. Health Informatics Niamh McCombe, Shuo Liu, Xuemei Ding, Girijesh Prasad, Magda Bucholc, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin
2021	J	`jnl`	Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers. Sensors Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, Sanaul Hoque, KongFatt Wong-Lin, Girijesh Prasad
2021	J	`jnl`	Integrated space-frequency-time domain feature extraction for MEG-based Alzheimer's disease classification. Brain Informatics Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, KongFatt Wong-Lin, Girijesh Prasad
2021	J	`jnl`	Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms. CoRR James FitzGerald, KongFatt Wong-Lin
2021	—	`conf`	Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. ECC Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin
2020	J	`jnl`	Changes-of-mind in the absence of new post-decision evidence. PLoS Comput. Biol. Nadim A. A. Atiya, Arkady Zgonnikov, Denis O'Hora, Martin Schoemann, Stefan Scherbaum, KongFatt Wong-Lin
2020	J	`jnl`	Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model. CoRR Ifeatu Ezenwe, Alok Joshi, KongFatt Wong-Lin
2020	J	`jnl`	Optimality and Limitations of Audio-Visual Integration for Cognitive Systems. Frontiers Robotics AI William Paul Boyce, Anthony Lindsay, Arkady Zgonnikov, Iñaki Rañó, KongFatt Wong-Lin
2020	J	`jnl`	Predicting feature imputability in the absence of ground truth. CoRR Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin
2019	J	`jnl`	A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Expert Syst. Appl. 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
2019	J	`jnl`	Design and evaluation of a time adaptive multimodal virtual keyboard. J. Multimodal User Interfaces Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad
2019	J	`jnl`	M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective. IEEE Trans. Biomed. Eng. Su Yang, Jose Miguel Sanchez Bornot, KongFatt Wong-Lin, Girijesh Prasad
2019	J	`jnl`	Optimality and limitations of audio-visual integration for cognitive systems. CoRR William Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rañó, KongFatt Wong-Lin
2018	J	`jnl`	A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability. PLoS Comput. Biol. Bronac Flanagan, Liam McDaid, John J. Wade, KongFatt Wong-Lin, Jim Harkin
2018	J	`jnl`	A neuro-inspired visual tracking method based on programmable system-on-chip platform. Neural Comput. Appl. Shufan Yang, KongFatt Wong-Lin, James Andrew, Terrence S. T. Mak, T. Martin McGinnity
2018	J	`jnl`	Parallel Excitatory and Inhibitory Neural Circuit Pathways Underlie Reward-Based Phasic Neural Responses. Complex. Huanyuan Zhou, KongFatt Wong-Lin, Da-Hui Wang
2018	J	`jnl`	Potassium and sodium microdomains in thin astroglial processes: A computational model study. PLoS Comput. Biol. Kevin Breslin, John Joseph Wade, KongFatt Wong-Lin, Jim Harkin, Bronac Flanagan, Harm Van Zalinge, Steve Hall, Matthew C. Walker, Alexei Verkhratsky, Liam McDaid
2017	A*	`conf`	A drift diffusion model of biological source seeking for mobile robots. ICRA Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin
2017	—	`conf`	A multimodal interface to resolve the Midas-Touch problem in gaze controlled wheelchair. EMBC Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad
2017	B	`conf`	Walking dynamics of intertemporal choice. CogSci Arkady Zgonnikov, Iñaki Rañó, Denis O'Hora, KongFatt Wong-Lin
2016	B	`conf`	A novel multimodal gaze-controlled Hindi virtual keyboard for disabled users. SMC Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad
2016	B	`conf`	EMOHEX: An eye tracker based mobility and hand exoskeleton device for assisting disabled people. SMC Yogesh Kumar Meena, Anirban Chowdhury, Hubert Cecotti, KongFatt Wong-Lin, Shyam Sunder Nishad, Ashish Dutta, Girijesh Prasad
2016	J	`jnl`	Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality. Neuroinformatics Vahab Youssofzadeh, Girijesh Prasad, Muhammad Naeem, KongFatt Wong-Lin
2015	J	`jnl`	On self-feedback connectivity in neural mass models applied to event-related potentials. NeuroImage Vahab Youssofzadeh, Girijesh Prasad, KongFatt Wong-Lin
2015	—	`conf`	Towards increasing the number of commands in a hybrid brain-computer interface with combination of gaze and motor imagery. EMBC Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad
2014	—	`conf`	Analysis of a computational model of dopamine synthesis and release through perturbation. BIBM Maell Cullen, KongFatt Wong-Lin
2014	—	`conf`	Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis. EMBC Vahab Youssofzadeh, Damiano Zanotto, Paul Stegall, Muhammad Naeem, KongFatt Wong-Lin, Sunil K. Agrawal, Girijesh Prasad
2014	J	`jnl`	Reduced Computational Models of Serotonin Synthesis, Release, and Reuptake. IEEE Trans. Biomed. Eng. Gordon Flower, KongFatt Wong-Lin
2013	J	`jnl`	Dynamic Excitatory and Inhibitory Gain Modulation Can Produce Flexible, Robust and Optimal Decision-making. PLoS Comput. Biol. Ritwik K. Niyogi, KongFatt Wong-Lin
2012	J	`jnl`	Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics. J. Comput. Neurosci. Xin Zou, Damien Coyle, KongFatt Wong-Lin, Liam P. Maguire
2012	—	`conf`	Inter-brain Mutual Information in Social Interaction Tasks. PRNI Muhammad Naeem, T. Martin McGinnity, David R. Watson, KongFatt Wong-Lin, Girijesh Prasad, J. A. Scott Kelso
2012	J	`jnl`	Network properties of a computational model of the dorsal raphe nucleus. Neural Networks KongFatt Wong-Lin, Alok Joshi, Girijesh Prasad, T. Martin McGinnity
2011	—	`conf`	A mathematical model to explore the interdependence between the serotonin and orexin/hypocretin systems. EMBC Alok Joshi, KongFatt Wong-Lin, T. Martin McGinnity, Girijesh Prasad
2011	B	`conf`	A spiking neuronal network model of the dorsal raphe nucleus. IJCNN KongFatt Wong-Lin, Girijesh Prasad, T. Martin McGinnity
2011	J	`jnl`	Dimension Reduction and Dynamics of a Spiking Neural Network Model for Decision Making under Neuromodulation. SIAM J. Appl. Dyn. Syst. Philip Eckhoff, KongFatt Wong-Lin, Philip Holmes
2009	J	`jnl`	Sequential Effects in Two-Choice Reaction Time Tasks: Decomposition and Synthesis of Mechanisms. Neural Comput. Juan Gao, KongFatt Wong-Lin, Philip Holmes, Patrick Simen, Jonathan D. Cohen
2009	J	`jnl`	Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks. Neural Comput. Xiang Zhou, KongFatt Wong-Lin, Philip Holmes