Publications

[Papers in Refereed Journals] [Books and Chapters] [Conference Proceedings] [Abstracts]

Papers in Refereed Journals Google Scholar Page


2019

Xiajing Gong, Wu Li and Hualou Liang.  Spike-Field Granger Causality for Hybrid Neural Data Analysis, Journal of Neurophysiology, 122:809-822, 2019.  

Hualou Liang, Fengqing Zhang and Xin Niu,  Investigating Systematic Bias in Brain Age Estimation with Application to PTSD, Human Brain Mapping, 2019.  

Taegyo Kim, Kendall A Schmidt, Christopher W Deemie, Joanna Wycech, Hualou Liang, Simon F Giszter.  Highly flexible precisely braided multielectrode probes and combinatorics for future neuroprostheses, Frontiers in Neuroscience, 13: 613, 2019.  

2018

Mukesh Dhamala, Hualou Liang, Steven L. Bressler and Mingzhou Ding,  Granger-Geweke causality: estimation and interpretation, NeuroImage, 175: 460 – 463, 2018.   

Meng Hu, Wu Li and Hualou Liang, A Copula-based Granger Causality Measure for the Analysis of Neural Spike Train Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(2): 562 - 569, 2018.

2017

Rujia Chen, Feng Wang, Hualou Liang, Wu Li. Synergistic processing of visual contours across cortical layers in V1 and V2. Neuron, 96 (6): 1388–1402, 2017.

Hualou LiangXiajing Gong, Minggui Chen, Yin Yan, Wu Li, Charles D. Gilbert. Interactions between feedback and lateral connections in the primary visual cortex, Proceedings of the National Academy of Sciences USA, 114 (32): 8637–8642, 2017.

Hualou Liang and Hongbin Wang, Structure-Function Network Mapping and its Assessment via Persistent Homology, PLoS Computational Biology, 13(1): e1005325, 2017. 

2016

 Meng Hu, Mingyao Li, Wu Li and Hualou Liang, Joint Analysis of Spikes and Local Field Potentials using Copula, NeuroImage, 133: 457 - 467, 2016.

Meng Hu, Mingyao Li, Wu Li and Hualou Liang, Data on Copula Modeling of Mixed Discrete and Continuous Neural Time Series, Data in Brief, 7: 1364 - 1369, 2016.

2015

Meng Hu, Kelsey Clark, Xiajing Gong, Behrad Noudoost, Mingyao Li, Tirin Moore, and Hualou Liang, Copula Regression Analysis of Simultaneously Recorded Frontal Eye Field and Inferotemporal Spiking Activity During Object-based Working Memory, Journal of Neuroscience, 35: 8745 - 8757, 2015.

2014

 Meng Hu and Hualou Liang, A copula approach to assessing Granger causality, NeuroImage, 100:125-124, 2014.

Minggui Chen, Yin Yan, Xiajing Gong, Charles Gilbert, Hualou Liang and Wu Li, Incremental Integration of Global Contours through Interplay between Visual Cortical Areas, Neuron, 82: 682–694, 2014.

Meng Hu and Hualou Liang, Search for information-bearing components in neural data, PLoS ONE 9(6): e99793, 2014.

Hualou Liang, Wavelet Analysis, In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience, Springer, New York, 1-3, 2014.

2013

Meng Hu and Hualou Liang, Perceptual suppression revealed by adaptive multi-scale entropy analysis of local field potential in monkey visual cortex, International Journal of Neural Systems, 23(2): 1 – 10, 1350005, 2013.

2012

Meng Hu and Hualou Liang, Adaptive Multiscale Entropy Analysis of Multivariate Neural Data, IEEE Transactions on Biomedical Engineering, 59(1): 12 – 15, 2012.

Sanqing Hu and Hualou Liang, Causality Analysis of Neural Connectivity: New Tool and Limitations of Spectral Granger Causality, Neurocomputing, 76:44 - 47, 2012.

Meng Hu and Hualou Liang, Variance Entropy: A Method for Characterizing Perceptual Awareness of Visual Stimulus, Applied Computational Intelligence and Soft Computing, vol. 2012, Article ID 525396, page 1 - 6, 2012.

Meng Hu and Hualou Liang, Noise-Assisted Instantaneous Coherence Analysis of Brain Connectivity, Computational Intelligence and Neuroscience, Special Issue on Advanced Computational Techniques and Tools for Neuroscience, vol. 2012, Article ID 275073, page 1 - 12, 2012. 

2011

Meng Hu and Hualou Liang, Intrinsic mode entropy based on multivariate empirical mode decomposition and its application to neural data analysis, Cognitive Neurodynamics, 5:277–284, 2011.

Sanqing Hu, Guojun Dai, Gregory Worrell, Qionghai Dai and Hualou Liang, Causality Analysis of Neural Connectivity: Critical Examination of Existing Methods and Advances of New Methods, IEEE Transactions on Neural Networks. 22(6): 829 - 844, 2011.

Meng Hu, Hongmiao Zhang and Hualou Liang, Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference, Neural Computation and Applications, 20:1181 - 1186, 2011.

2010

Elizabeth A. Buffalo, Pascal Fries, Rogier Landman, Hualou Liang and Robert Desimone, A Backwards Progression of Attentional Effects in the Ventral Stream. Proceedings of the National Academy of Sciences USA, 107 (1): 361-365, 2010.

Hongmiao Zhang and Hualou Liang, Decoding Perceptual States from Local Field Potentials in Visual Cortex during Generalized Flash Suppression, International Journal of Bioelectromagnetism, 12 (3): 127 - 132, 2010.

Qiu-Hua Lin, Jingyu Liu, Yong-Rui Zheng, Hualou Liang, and Vince D. Calhoun, Semi-Blind Spatial ICA of fMRI Using Spatial Constraints, Human Brain Mapping, 31(7):1076-88, 2010.

2009

Zhisong Wang, Nikos K. Logothetis and Hualou Liang, Spatiotemporal Neural Integration for Bistable Perception in a Response-Time Structure-From-Motion Task, IEEE Transactions on Biomedical Engineering, 56 (12): 2937 – 2948, 2009.

Zhisong Wang, Nikos K. Logothetis and Hualou Liang, Extraction of Percept-Related Induced Local Field Potential During Spontaneously Reversing Perception, Neural Networks, 22:720 - 727, 2009.

Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang, Extraction of Bistable-Percept-Related Features from Local Field Potential by Integration of Local Regression and Common Spatial Patterns, IEEE Transactions on Biomedical Engineering, 56 (8): 2095 - 2103, 2009.

Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang, Relaxation Based Feature Selection for Single-Trial Decoding of Bistable Perception, IEEE Transactions on Biomedical Engineering, 56 (1):101 – 110, 2009.

Jie Cui, Melanie Wilke, Nikos K. Logothetis, David A Leopold and Hualou Liang, Visibility states modulate microsaccade rate and direction, Vision Research, 49:228 - 236, 2009.

2008

Zhisong Wang, Nikos K. Logothetis and Hualou Liang, Decoding a Bistable Percept with Integrated Time-Frequency Representation of Single-Trial Local Field Potential, Journal of Neural Engineering, 5:433-442, 2008.  

Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang, Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition, Computational Intelligence and Neuroscience, vol. 2008, article ID 642387, page 1-10, 2008. 

Jie Cui, Lei Xu, Steven L. Bressler, Mingzhou Ding, Hualou Liang, BSMART: a Matlab/C toolbox for analysis of multichannel neural time series, Neural Networks, 21:1094 - 1104, 2008. [Download the BSMART package]

Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang, Single-Trial Classification of Bistable Perception by Integrating Empirical Mode Decomposition, Clustering and Support Vector Machine, EURASIP Journal on Advances in Signal Processing, vol. 2008, article ID 592742, page 1-8, 2008.

Qiu-Hua Lin , Fu-Liang Yin, Tie-Min Mei and Hualou Liang, A Blind Source Separation Based Method for Multiple Images Encryption, Image and Vision Computing, 26:788 - 798, 2008.

2007

Zhisong Wang, Alexander Maier, David A. Leopold, Nikos K. Logothetis and Hualou Liang, Single-Trial Evoked Potential Estimation Using Wavelet, Computers in Biology and Medicine, 37:463 – 473, 2007.

Qiuhua Lin, Yongrui Zheng, Fuliang Yin, Hualou Liang and Vince D. Calhoun , A Fast Fixed-point Algorithm for One-unit ICA-R, Information Sciences, 177: 1265 - 1275, 2007.

2006

Zhisong Wang, Alexander Maier, David A. Leopold and Hualou Liang, Relaxation based Multichannel Signal Combination (RELAX-MUSIC) for ROC Analysis of Percept-Related Neuronal Activity, IEEE Transactions on Biomedical Engineering, 53 (12), 2615 - 2618, 2006.

Qiuhua Lin, Fuliang Yin, Tiemin Mei and Hualou Liang, A Blind Source Separation Based Method for Speech Encryption, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 53(6):1320 – 1328, 2006.

Yuqiao Gu, Geir Halnes, Hans Liljenström, Dietrich von Rosen, Björn Wahlund, and Hualou Liang, Modelling ECT effects by connectivity changes in cortical neural networks, Neurocomputing, 69:1341 – 1347, 2006.

2005

Hualou Liang, Steven L. Bressler, Elizabeth A. Buffalo, Robert Desimone and Pascal Fries, Empirical mode decomposition of local field potentials from macaque V4 in visual spatial attention, Biological Cybernetics, , 92 (6), 380 – 392, 2005.

Maciej Kaminski and Hualou Liang, Causal Influence: Advances in Neurosignal Analysis, Critical Reviews in Biomedical Engineering, 33 (4), 347 – 430, 2005.

Hualou Liang, Qiuhua Lin and J. D. Z. Chen, Application of the Empirical Mode Decomposition to the Analysis of Esophageal Manometric Data in Gastroesophageal Reflux Disease, IEEE Transactions on Biomedical Engineering, 52(10), 1692 – 1701, 2005.  

Hualou Liang and Jiande Z. Chen, Assessment of the Esophageal Pressure in Gastroesophageal Reflux Disease by the Local Regression, Annals of Biomedical Engineering, 33 (6), 847 – 853, 2005.

Hualou Liang, Steven L. Bressler, Robert Desimone and Pascal Fries, Empirical Mode Decomposition: A Method for Analyzing Neural Data, Neurocomputing, Vol. 65-66, pp. 801-807, 2005.

Yuqiao Gu, Björn Wahlund, Hans Liljenström, Dietrich von Rosen and Hualou Liang, Studying Phase Shift of Clinical EEG Evoked by ECT, Neurocomputing, Vol. 65-66, pp.475-483, 2005.

Hualou Liang, Extraction of Gastric Slow Waves from Electrogastrograms: Combining Independent Component Analysis and Adaptive Signal Enhancement, Medical & Biological Engineering & Computing, 43 (2), 245-251, 2005.

2003

Hualou Liang and Hongbin Wang, Top-Down Anticipatory Control in Prefrontal Cortex, Theory in Biosciences, 122 (1), 70 - 86, 2003.

Hualou Liang, Steven L. Bressler, Mingzhou Ding, Robert Desimone and Pascal Fries, Temporal dynamics of attention-modulated neuronal synchronization in macaque V4, Neurocomputing, Vol. 52-54, pp. 481 - 487, 2003.

2002

Hualou Liang, Steven L. Bressler, Mingzhou Ding, Wilson A. Truccolo and Richard Nakamura, Synchronized activity in prefrontal cortex during anticipation of visuomotor processing, NeuroReport, 13 (16), 2011-2015, 2002.

Hualou Liang and Zhiyue Lin, Stimulus Artifact Cancellation in Gastric Myoelectrical Recordings Using Wavelet Transform, IEEE Transactions on Biomedical Engineering, 49(7), 681 - 688, 2002.

Hualou Liang, Mingzhou Ding, Steven L. Bressler, Temporal dynamics of Information Flow in the Cerebral Cortex, Neurocomputing, Vol.38-40, pp. 1429-1435, 2001.  Erratum to "Temporal dynamics of Information Flow in the Cerebral Cortex", Neurocomputing, Vol.42, pp.339, 2002.

2001

Hualou Liang, Adaptive Independent Component Analysis of Multichannel Electrogastrograms, Medical Engineering & Physics, 23(2), 91-97, 2001.

Hualou Liang and Zhiyue Lin, Detection of Delayed Gastric Emptying from Electrogastrograms with Support Vector Machine, IEEE Transactions on Biomedical Engineering, 48(5), 601-604, 2001.

Hualou Liang, Mingzhou Ding, Steven L. Bressler, The Detection of Cognitive State Transitions by Stability Changes in Event-Related Cortical Field Potentials, Neurocomputing, Vol.38-40, pp. 1423-1428, 2001.

2000

Hualou Liang, Mingzhou Ding, Richard Nakamura, Steven L. Bressler, Causal Influences in Primate Cerebral Cortex during Visual Pattern Discrimination, NeuroReport, 11(13), 2875-2880, 2000.

Mingzhou Ding, Steven L. Bressler, Weiming Yang and Hualou Liang, Short Window Spectral Analysis of Cortical Event-Related Potentials by Adaptive MultiVariate AutoRegressive (AMVAR) Modeling: Data Preprocessing, Model Validation, and Variability Assessment by Bootstrapping, Biological Cybernetics, 83(1), 35-45, 2000.

Hualou Liang, Mingzhou Ding, Steven L. Bressler, On the Tracking of Dynamic Functional Relations in Monkey Cerebral Cortex, Neurocomputing, Vol.32-33, pp. 891-896, 2000.

Hualou Liang, Zhiyue Lin and Richard W. McCallum, Artifact Reduction in electrogastrogram Based on the Empirical Model Decomposition Method, Medical & Biological Engineering & Computing, 38(1), 35-41, 2000.

Hualou Liang, Zhiyue Lin and Richard W. McCallum, Application of Combined Genetic Algorithms with Cascade Correlation to Diagnosis of Delayed Gastric Emptying from Electrogastrograms, Medical Engineering & Physics, 22(3), 229-234, 2000.

1998 and Earlier

Hualou Liang and Guiliang Dai, Improvement of Cascade Correlation Learning Algorithm with an Evolutionary Initialization, Information Sciences, Vol. 112, pp.1 - 6, 1998.

Hualou Liang, Wei Xie, Yigang Xie and Guiliang Dai, Classification of the Primary Cosmic Ray Composition with Neural Networks, High Energy Physics and Nuclear Physics, Vol. 21, No.3 pp.205 - 210, 1997.

Zhiyue Lin, Hualou Liang, Richard McCallum and J.P.Z. Chen, Application of combining genetic algorithms with cascade correlation to diagnosis of delayed Gastric Emptying from the Electrogastrograms, Artificial Neural Networks in Engineering, New York: ASME Press, 697-702, 1997.

Hualou Liang and Guiliang Dai, Neural Network Classifier Based on Genetic Algorithm, Nuclear Electronics & Detection Technology, Vol.16, No.3, pp.174 - 177, 1996.

Hualou Liang and Guiliang Dai, Error Estimation and Error Bounds for Neural Networks, Artificial Neural Networks and Expert Systems, 2, pp.42 - 45, IEEE Computer Society Press, Los Alamitos, CA, 1995

Hualou Liang and Guiliang Dai, Combination of Genetic Algoritms and Artificial Neural Networks: Review and Prospect, ACTA ELECTRONICA SINICA, Vol.23, No.10, pp.197 - 203, 1995. 

 

Books and Chapters


Meng Hu and Hualou Liang, Multiscale Entropy: Recent Advances, In: Complexity and Nonlinearity in Cardiovascular Signals, edited by Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza, Springer, pp. 115 – 138, 2017.

Hualou Liang, Joseph D. Bronzino and Donald R. Peterson (editors), Biosignal Processing: Principles and Practices, CRC Press, 2012.

Hualou Liang, Application of Support Vector Machine to the Detection of Delayed Gastric Emptying from Electrogastrograms, In: Support Vector Machines: Theory and Applications, edited by L. Wang, Springer-Verlag, pp. 399 - 412, 2005.

Hualou Liang and Zhiyue Lin, Multiresolution Signal Decomposition and its Applications to Electrogastric Signals, In: Recent research developments in biomedical engineering, 15 - 31, February 2002.

Hualou Liang, Analysis and Applications of Genetic Neural Network, Ph.D. dissertation, Chinese Academy of Sciences, China, 1996.

Hualou Liang, Investigation of Time-Frequency Theory, Algorithm and its Applications in Biomedical Signal, Master thesis, Department of Electrical Engineering, Dalian University of Technology, 1993.

 

Conference Proceedings


Xiaohong Ma, Lixin Wang, Yi Feng and Hualou Liang, A Novel Moving Object Tracking Method Using ICA-R, Lecture Notes in Computer Science, Springer-Verlag, Vol.5552, 859 - 864, 2009.

Sanqing Hu, Matt Stead, Hualou Liang and Gregory Worrell, Reference Signal Impact on EEG Energy, Lecture Notes in Computer Science, Springer-Verlag, Vol.5553, 605 - 611, 2009.

Qiuhua Lin, Fuliang Yin and Hualou Liang, A Fast Decryption Algorithm for BSS-based Image Encryption, Lecture Notes in Computer Science, Vol.3973, 318 - 325, 2006.

Yongrui Zheng, Qiuhua Lin, Fuliang Yin and Hualou Liang, Speech Enhancement Using ICA with EMD-based Reference, Lecture Notes in Computer Science, Vol.3889, 739 - 746, 2006.

Qiuhua Lin, Fuliang Yin, Hualou Liang, Blind source separation based encryption of images and speeches, Lecture Notes in Computer Science, Vol. 3497, pp. 544 - 549, 2005.

Qiuhua Lin, Yongrui Zheng, Fuliang Yin, Hualou Liang, Speech Segregation Using Constrained ICA, Lecture Notes in Computer Science, Vol. 3173, pp.755-760, 2004.

Hualou Liang, Hongbin Wang, Zhiyue Lin, Reduction of Electrocardiographic Signal from Diaphragmatic Electromyogram by Nonlinear Filtering, 24th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Houston, USA, pp.17 - 18, October 2002.  

Hongbin Wang, Jin Fan and Hualou Liang, A Computational Model of Attentional Networks, 24th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Houston, USA, pp.1988 – 1989, October 2002. 

Hualou Liang, Mingzhou Ding, Steven L. Bressler, Causal assessment of neural interactions by analysis of electrophysiological recordings, The Eleventh Annual Computational Neuroscience Meeting, Chicago, USA, July, 2002.

Hualou Liang, Steven L. Bressler, Mingzhou Ding, Robert Desimone and Pascal Fries, Temporal structure of attention-modulated neuronal synchronization in macaque V4, The Eleventh Annual Computational Neuroscience Meeting, Chicago, USA, July, 2002.

Zhiyue Lin, Hualou Liang and Richard McCallum, Combined Methods for Recovery of Gastric Slow Waves from MultichannelElectrogastrograms, World Congress on Medical Physics and Biomedical Engineering, Chicago, July, 2000.

Zhiyue Lin, Hualou Liang and Richard McCallum, Extraction of Gastric Slow Waves from Multichannel Electrogastrograms Using Adaptive Independent Component Analysis, Proceedings of the 21th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Atlanta, USA, October, 1999.

Hualou Liang and Nikos K. Logothetis, Adaptive Blind Source Separation through a Maximum Likelihood Approach, Proceedings of International Conference on Neural Network and Brain, Beijing, China, pp.353 - 356, 1998.

Hualou Liang and Nikos K. Logothetis, Blind Signal Separation with a flexible non-linearity, Proceedings of International Conference on Neural Information Processing(ICONIP), Kitakyushu, Japan, pp.478-481, 1998.

Irit Opher, Hualou Liang and David Horn, Temporal Image Analysis with Oscillatory and Spiking Neurons, Advances in Neural Information Processing Systems, Cambridge, MA: MIT Press, 1997.

Zhiyue Lin, Hualou Liang, J.P.Z. Chen and Richard McCallum, Application of combining genetic algorithms with cascade correlation to diagnosis of delayed Gastric Emptying from the Electrogastrograms, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, USA, 1355-1358, 1997.

Hualou Liang and Guiliang Dai, Comparison Between the Evolutionary Approach and the Backpropagation Training Algorithm, Proceedings of The First International Conference on Computational Intelligence and Neurosciences, North Carolina, USA, pp.591-592, 1995.

Hualou Liang and Guiliang Dai, Combining Genetic Algorithm and Cascade-Correlation, Proceedings of IEEE International Conference on Neural Networks and Signal Processing, Nanjing, China, pp.56 - 59, 1995.

Hualou Liang and Guiliang Dai, A Benchmark and its Rules for Neural Network Classifier, Proceedings of the 8th National Conference of Computer Application in Science and Technology, pp.207 - 210, 1995.

Hualou Liang and Guiliang Dai, Neural Network Classifier Based on Genetic Algorithm, Proceedings of the 8th National Conference of Computer Application in Science and Technology, pp.203 - 206, 1995.

Hualou Liang and Guiliang Dai, Discussion about Error Measure for Neural Network in High Energy Physics, Proceedings of Seventh National Conference on Nuclear Electronics and Nuclear Detection Technology, pp.736 - 740, 1994

 

Abstracts


Elizabeth A. Buffalo, Pascal Fries, Rogier Landman, Hualou Liang and Robert Desimone, Latency of attentional modulation in ventral visual cortex, The 35th Annual Meeting of Society for Neuroscience, Washington, DC, November 12 – 16, 2005.

Hualou Liang, Steven L. Bressler, Elizabeth A. Buffalo, Robert Desimone and Pascal Fries, Empirical mode decomposition of local field potentials from macaque V4 in visual spatial attention, The 34th Annual Meeting of Society for Neuroscience, 921.15, San Diego, CA, October 23 - 27, 2004.

Hualou Liang, Steven L. Bressler, Robert Desimone and Pascal Fries, Attention-modulated gamma frequency activity in macaque v4 reflects task timing and performance, The 33rd Annual Meeting of Society for Neuroscience, New Orleans, LA, November, 2003.

Steven L. Bressler, Mingzhou Ding, Hualou Liang and Richard Nakamura, Large-scale motor maintenance network in macaque cerebral cortex, The 32nd Annual Meeting of  Society for Neuroscience, 62.7, Orlando, FL, November, 2002.

Hualou Liang, Steven L. Bressler, Mingzhou Ding, Robert Desimone and Pascal Fries, The time course of attention-modulated gamma frequency synchronization in macaque V4, The 31st Annual Meeting of Society for Neuroscience, 722.10, San Diego, Ca, November, 2001.

Steven L. Bressler, Hualou Liang and Mingzhou Ding, Top-down influence on early visual processing by an anticipatory large-scale network in macaque frontal cortex, The 31st Annual Meeting of Society for Neuroscience, 533.1, San Diego, Ca, November, 2001.

Hualou Liang, Zhiyue Lin and Richard W. McCallum, Cancellation of stimulus artifact in the serosal recordings of gastric myoelectrical activity, The Ninth International Workshop on Electrogastrography, Atlanta, GA, May, 2001.

Hualou Liang, Mingzhou Ding, Steven L. Bressler, Bidirectional Information Flow in Monkeys Visual Cortex, Soc Neurosci Abstr. 30:558, 2000.

Steven L. Bressler, Mingzhou Ding, Hualou Liang, Bottom-up and Top-Down Influences in the Primate Visual Cortex, Fourth Annual Vision Research Conference on Functional Brain Imaging in Vision, ARVO'00, pp.124, Ford, Lauderdale, April, 2000.

Hualou Liang, Mingzhou Ding, Steven L. Bressler, Temporal Dynamics of Information Flow in the Cerebral Cortex, The Ninth Annual Computational Neuroscience Meeting, p.93, Belgium, July, 2000.

Hualou Liang, Mingzhou Ding, Steven L. Bressler, The Detection of Cognitive State Transitions by Stability Changes in Event-Related Cortical Field Potentials, The Ninth Annual Computational Neuroscience Meeting, p.93, Belgium, July, 2000.

Steven L. Bressler, Mingzhou Ding, Hualou Liang, Maciek Kaminski, Separation of Feedforward and Feedback Causal Influences in the Primate Visual Cortex, The Ninth Annual Computational Neuroscience Meeting, p.57, Belgium, July, 2000.

Hualou Liang, Nonlinear Filtering of Diaphragmatic EMG Signals, invited talk in the Third World Congress of Nonlinear Analysts, Italy, July, 2000.

Hualou Liang, On the Direction of Dynamic Coordinated Interactions in Monkey Visual Cortex, Dynamical Neuroscience VII Integration Across Multiple Imaging Modalities, Delray Beach, Florida, pp. 52, 1999.

Steven L. Bressler, Mingzhou Ding, Hualou Liang and Maciek Kaminski, Dynamics of a large-scale attentive network during visuomotor performance in macaque monkeys, Soc Neurosci Abstr. 29: 1632, 1999.

Hualou Liang, Mingzhou Ding, Steven L. Bressler, On the Tracking of Dynamic Functional Relations in Monkey Cerebral Cortex, Eight Annual Computational Neuroscience Meeting (CNS'99), Pittsburgh, pp. 117, 1999.

Hualou Liang and Guiliang Dai, Improvement of Cascade Correlation Learning Algorithm with Evolutionary Initialization, Proceedings of The Second Annual Joint Conference on Information Sciences, North Carolina, USA, pp.584-586, 1995.


Last updated: 05/16/2018 04:16:49 PM

Hualou.Liang@drexel.edu