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2020 – today
- 2024
[i5]Abdoreza Asadpour, KongFatt Wong-Lin
:
Can multivariate Granger causality detect directed connectivity of a multistable and dynamic biological decision network model? CoRR abs/2408.01528 (2024)- 2023
- [j25]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) - 2022
- [j24]Chandan Kumar 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) - [j23]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): 262 (2022) - [j22]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): 818-827 (2022) - [c14]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: 1098-1104 - [c13]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: 4929-4933 - 2021
- [j21]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): 24 (2021) - [j20]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): 6210 (2021) - [c12]Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin:
Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. ECC 2021: 341-346 - [i4]James FitzGerald, KongFatt Wong-Lin:
Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms. CoRR abs/2105.06824 (2021) - 2020
- [j19]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: 94 (2020) - [j18]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) - [i3]Ifeatu Ezenwe, Alok Joshi, KongFatt Wong-Lin:
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model. CoRR abs/2003.13850 (2020) - [i2]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 abs/2007.07052 (2020)
2010 – 2019
- 2019
- [j17]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: 157-171 (2019) - [j16]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): 343-361 (2019) - [j15]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): 2924-2935 (2019) - [i1]William Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rañó, KongFatt Wong-Lin:
Optimality and limitations of audio-visual integration for cognitive systems. CoRR abs/1912.00581 (2019) - 2018
- [j14]Huanyuan Zhou, KongFatt Wong-Lin, Da-Hui Wang:
Parallel Excitatory and Inhibitory Neural Circuit Pathways Underlie Reward-Based Phasic Neural Responses. Complex. 2018: 4356767:1-4356767:20 (2018) - [j13]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): 2697-2708 (2018) - [j12]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) - [j11]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) - 2017
- [c11]Arkady Zgonnikov, Iñaki Rañó, Denis O'Hora, KongFatt Wong-Lin:
Walking dynamics of intertemporal choice. CogSci 2017 - [c10]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: 905-908 - [c9]Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin:
A drift diffusion model of biological source seeking for mobile robots. ICRA 2017: 3525-3531 - 2016
- [j10]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): 99-120 (2016) - [c8]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: 2122-2127 - [c7]Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad:
A novel multimodal gaze-controlled Hindi virtual keyboard for disabled users. SMC 2016: 3688-3693 - 2015
- [j9]Vahab Youssofzadeh, Girijesh Prasad, KongFatt Wong-Lin:
On self-feedback connectivity in neural mass models applied to event-related potentials. NeuroImage 108: 364-376 (2015) - [c6]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: 506-509 - 2014
- [j8]Gordon Flower, KongFatt Wong-Lin:
Reduced Computational Models of Serotonin Synthesis, Release, and Reuptake. IEEE Trans. Biomed. Eng. 61(4): 1054-1061 (2014) - [c5]Maell Cullen, KongFatt Wong-Lin:
Analysis of a computational model of dopamine synthesis and release through perturbation. BIBM 2014: 1-7 - [c4]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: 6361-6364 - 2013
- [j7]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) - 2012
- [j6]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): 465-477 (2012) - [j5]KongFatt Wong-Lin, Alok Joshi, Girijesh Prasad, T. Martin McGinnity:
Network properties of a computational model of the dorsal raphe nucleus. Neural Networks 32: 15-25 (2012) - [c3]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: 25-28 - 2011
- [j4]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): 148-188 (2011) - [c2]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: 7270-7273 - [c1]KongFatt Wong-Lin, Girijesh Prasad, T. Martin McGinnity:
A spiking neuronal network model of the dorsal raphe nucleus. IJCNN 2011: 1591-1598
2000 – 2009
- 2009
- [j3]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): 2336-2362 (2009) - [j2]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): 2407-2436 (2009) - 2007
- [j1]KongFatt Wong, Alexander Huk, Michael N. Shadlen, Xiao-Jing Wang:
Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making. Frontiers Comput. Neurosci. 1: 6 (2007)
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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