Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making. - KongFatt Wong; Alexander Huk; Michael N. Shadlen; Xiao-Jing Wang (Frontiers Comput. Neurosci., 2007)

Sequential Effects in Two-Choice Reaction Time Tasks: Decomposition and Synthesis of Mechanisms. - Juan Gao; KongFatt Wong-Lin; Philip Holmes; Patrick Simen; Jonathan D. Cohen 003 (Neural Comput., 2009)

Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks. - Xiang Zhou 001; KongFatt Wong-Lin; Philip Holmes (Neural Comput., 2009)

A mathematical model to explore the interdependence between the serotonin and orexin/hypocretin systems. - Alok Joshi; KongFatt Wong-Lin; T. Martin McGinnity; Girijesh Prasad (EMBC, 2011)

A spiking neuronal network model of the dorsal raphe nucleus. - KongFatt Wong-Lin; Girijesh Prasad; T. Martin McGinnity (IJCNN, 2011)

Dimension Reduction and Dynamics of a Spiking Neural Network Model for Decision Making under Neuromodulation. - Philip Eckhoff; KongFatt Wong-Lin; Philip Holmes (SIAM J. Appl. Dyn. Syst., 2011)

Inter-brain Mutual Information in Social Interaction Tasks. - Muhammad Naeem; T. Martin McGinnity; David R. Watson; KongFatt Wong-Lin; Girijesh Prasad; J. A. Scott Kelso (PRNI, 2012)

Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics. - Xin Zou; Damien Coyle; KongFatt Wong-Lin; Liam P. Maguire (J. Comput. Neurosci., 2012)

Network properties of a computational model of the dorsal raphe nucleus. - KongFatt Wong-Lin; Alok Joshi; Girijesh Prasad; T. Martin McGinnity (Neural Networks, 2012)

Dynamic Excitatory and Inhibitory Gain Modulation Can Produce Flexible, Robust and Optimal Decision-making. - Ritwik K. Niyogi; KongFatt Wong-Lin (PLoS Comput. Biol., 2013)

Analysis of a computational model of dopamine synthesis and release through perturbation. - Maell Cullen; KongFatt Wong-Lin (BIBM, 2014)

Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis. - Vahab Youssofzadeh; Damiano Zanotto; Paul Stegall; Muhammad Naeem; KongFatt Wong-Lin; Sunil K. Agrawal; Girijesh Prasad (EMBC, 2014)

Reduced Computational Models of Serotonin Synthesis, Release, and Reuptake. - Gordon Flower; KongFatt Wong-Lin (IEEE Trans. Biomed. Eng., 2014)

Towards increasing the number of commands in a hybrid brain-computer interface with combination of gaze and motor imagery. - Yogesh Kumar Meena; Hubert Cecotti; KongFatt Wong-Lin; Girijesh Prasad (EMBC, 2015)

On self-feedback connectivity in neural mass models applied to event-related potentials. - Vahab Youssofzadeh; Girijesh Prasad; KongFatt Wong-Lin (NeuroImage, 2015)

EMOHEX: An eye tracker based mobility and hand exoskeleton device for assisting disabled people. - Yogesh Kumar Meena; Anirban Chowdhury; Hubert Cecotti; KongFatt Wong-Lin; Shyam Sunder Nishad; Ashish Dutta; Girijesh Prasad (SMC, 2016)

A novel multimodal gaze-controlled Hindi virtual keyboard for disabled users. - Yogesh Kumar Meena; Hubert Cecotti; KongFatt Wong-Lin; Girijesh Prasad (SMC, 2016)

Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality. - Vahab Youssofzadeh; Girijesh Prasad; Muhammad Naeem; KongFatt Wong-Lin (Neuroinformatics, 2016)

Walking dynamics of intertemporal choice. - Arkady Zgonnikov; Iñaki Rañó; Denis O'Hora; KongFatt Wong-Lin (CogSci, 2017)

A multimodal interface to resolve the Midas-Touch problem in gaze controlled wheelchair. - Yogesh Kumar Meena; Hubert Cecotti; KongFatt Wong-Lin; Girijesh Prasad (EMBC, 2017)

A drift diffusion model of biological source seeking for mobile robots. - Iñaki Rañó; Mehdi Khamassi; KongFatt Wong-Lin (ICRA, 2017)

Parallel Excitatory and Inhibitory Neural Circuit Pathways Underlie Reward-Based Phasic Neural Responses. - Huanyuan Zhou; KongFatt Wong-Lin; Da-Hui Wang (Complex., 2018)

A neuro-inspired visual tracking method based on programmable system-on-chip platform. - Shufan Yang; KongFatt Wong-Lin; James Andrew; Terrence S. T. Mak; T. Martin McGinnity (Neural Comput. Appl., 2018)

Potassium and sodium microdomains in thin astroglial processes: A computational model study. - Kevin Breslin; John Joseph Wade; KongFatt Wong-Lin; Jim Harkin; Bronac Flanagan; Harm Van Zalinge; Steve Hall; Matthew C. Walker; Alexei Verkhratsky; Liam McDaid (PLoS Comput. Biol., 2018)

A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability. - Bronac Flanagan; Liam McDaid; John J. Wade; KongFatt Wong-Lin; Jim Harkin (PLoS Comput. Biol., 2018)

Optimality and limitations of audio-visual integration for cognitive systems. - William Paul Boyce; Tony Lindsay; Arkady Zgonnikov; Ignacio Rañó; KongFatt Wong-Lin (CoRR, 2019)

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. - Magda Bucholc; Xuemei Ding; Haiying Wang 001; David H. Glass; Hui Wang 001; Girijesh Prasad; Liam P. Maguire; Anthony J. Bjourson; Paula L. McClean; Stephen Todd; David P. Finn; KongFatt Wong-Lin (Expert Syst. Appl., 2019)

Design and evaluation of a time adaptive multimodal virtual keyboard. - Yogesh Kumar Meena; Hubert Cecotti; KongFatt Wong-Lin; Girijesh Prasad (J. Multimodal User Interfaces, 2019)

M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective. - Su Yang 002; Jose Miguel Sanchez Bornot; KongFatt Wong-Lin; Girijesh Prasad (IEEE Trans. Biomed. Eng., 2019)

Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model. - Ifeatu Ezenwe; Alok Joshi; KongFatt Wong-Lin (CoRR, 2020)

Predicting feature imputability in the absence of ground truth. - Niamh McCombe; Xuemei Ding; Girijesh Prasad; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin (CoRR, 2020)

Optimality and Limitations of Audio-Visual Integration for Cognitive Systems. - William Paul Boyce; Anthony Lindsay; Arkady Zgonnikov; Iñaki Rañó; KongFatt Wong-Lin (Frontiers Robotics AI, 2020)

Changes-of-mind in the absence of new post-decision evidence. - Nadim A. A. Atiya; Arkady Zgonnikov; Denis O'Hora; Martin Schoemann; Stefan Scherbaum; KongFatt Wong-Lin (PLoS Comput. Biol., 2020)

Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. - Iñaki Rañó; Mehdi Khamassi; KongFatt Wong-Lin (ECC, 2021)

Integrated space-frequency-time domain feature extraction for MEG-based Alzheimer's disease classification. - Su Yang 002; Jose Miguel Sanchez Bornot; Ricardo Bruña Fernandez; Farzin Deravi; KongFatt Wong-Lin; Girijesh Prasad (Brain Informatics, 2021)

Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms. - James FitzGerald; KongFatt Wong-Lin (CoRR, 2021)

Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers. - Su Yang 002; Jose Miguel Sanchez Bornot; Ricardo Bruña Fernandez; Farzin Deravi; Sanaul Hoque; KongFatt Wong-Lin; Girijesh Prasad (Sensors, 2021)

Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. - Niamh McCombe; Xuemei Ding; Girijesh Prasad; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin; Neuroimaging Initiative (EMBC, 2022)

Distinguishing Lewy Body Dementia from Alzheimer's Disease using Machine Learning on Heterogeneous Data: A Feasibility Study. - 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 (EMBC, 2022)

Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration. - Chandan Kumar Behera; Alok Joshi; Da-Hui Wang; Trevor Sharp; KongFatt Wong-Lin (Frontiers Comput. Neurosci., 2022)

Multi-dimensional relationships among dementia, depression and prescribed drugs in England and Wales hospitals. - Alok Joshi; Stephen Todd; David P. Finn; Paula L. McClean; KongFatt Wong-Lin (BMC Medical Informatics Decis. Mak., 2022)

Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. - Niamh McCombe; Shuo Liu; Xuemei Ding; Girijesh Prasad; Magda Bucholc; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin (IEEE J. Biomed. Health Informatics, 2022)

scSTAR reveals hidden heterogeneity with a real-virtual cell pair structure across conditions in single-cell RNA sequencing data. - 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; et al. (Briefings Bioinform., 2023)

Alzheimer's Disease Classification Confidence of Individuals Using Deep Learning on Heterogeneous Data. - Afolabi Salami Alausa; Jose Miguel Sanchez Bornot; Abdoreza Asadpour; Paula L. McClean; KongFatt Wong-Lin (UKCI, 2024)

Can Multivariate Granger Causality Detect Directed Connectivity of a Multistable and Dynamic Biological Decision Network Model? - Abdoreza Asadpour; KongFatt Wong-Lin (UKCI, 2024)