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論文發表

Papers published by Lo's lab

    Preprints

  • Chen-Fu Yeh, Chao-Yang Tang, Tsu-Chiao Chen, Meng-Fan Chang, Chih-Cheng Hsieh, Ren-Shuo Liu, Kea-Tiong Tang, Chung-Chuan Lo (Apr, 2024). FlowDep - An efficient and optical-flow-based algorithm of obstacle detection for autonomous mini-vehicles [Link]

  • Rui Han, Yi-Heng Tan, Chung-Chuan Lo (Jan, 2024). Attractiveness Versus Stickiness: Behavioural Preferences of Drosophila Melanogaster with Competing Visual Stimuli [Link]

  • Kai-Yi Hsu, Chi-Tin Shih, Nan-Yow Chen, Chung-Chuan Lo (Feb, 2024). Automated neuropil segmentation of fluorescent images for Drosophila brains, doi:10.1101/2024.03.03.578770 [Link]

  • Alexander J White, Belle Liu, Ming-Ju Hsieh, Kuo-an Wu, Chung-Chuan Lo (Jan, 2024). Hyper-Flexible Neural Networks: Rapidly Switching between Logic Operations in a Compact 4-Neuron Circuit, doi:10.1101/2024.01.26.574759 [Link]

  • Belle Liu, Chung-Chuan Lo, Kuo-An Wu (Oct, 2021). Attractor Decision Networks with Selective Inhibition, doi:10.1101/2021.10.05.463257 [Link]

  • Belle Liu, Alexander James White, Chung-Chuan Lo (Nov, 2020). Augmenting Flexibility: Mutual Inhibition Between Inhibitory Neurons Expands Functional Diversity, doi:10.1101/2020.11.08.371179 [Link]

    2024

  1. Ning Chang, Yi-Chen Tsai, Wei J. Chen, Chung-Chuan Lo, Hsiao-Han Chang (2024). COVID-19 control measures unexpectedly increased the duration of stay at High Speed Rail stations during the first community outbreak in Taiwan. BMC Public Health 24.1: 1-7.[Link] [PDF]

    2023

  2. Alexander White, Chou P. Hung, Andre V. Harrison, Chung-Chuan Lo (2023). Neuromorphic luminance-edge contextual preprocessing of naturally obscured targets. Proceedings of the 2023 International Conference on Neuromorphic Systems p.1-8. [Link] [PDF]

  3. Ning Chang, Hsuan-Pei Huang, and Chung-Chuan Lo (2023). Global inhibition in head-direction neural circuits: a systematic comparison between connectome-based spiking neural circuit models. Journal of Comparative Physiology A 209, 721–735. [Link] [PDF] [Code]

  4. Anton P.J.Stampfl, Zhongdong Liu, Jun Hu, Kei Sawada, H.Takano, Yoshiki Kohmura, Tetsuya Ishikawa, Jae-Hong Lim, Jung-Ho Je, Chian-Ming Low, Alvin Teo, Eng Soon Tok, Tin Wee Tan, Kenneth Ban, Camilo Libedinsky, Francis Chee Kuan Tan, Kuan-Peng Chen, An-Cheng Yang, Chao-Chun Chuang, Nan-Yow Chen, Chi-Tin Shih, Ting-Kuo Lee, De-Nian Yang, Hsu-Chao Lai, Hong-Han Shuai, Chang-Chieh Cheng, Yu-Tai Ching, Chia-Wei Li, Ching-Che Charng, Chung-Chuan Lo, Ann-Shyn Chiang, Benoit Recur, Cyril Petibois, Chia-Liang Cheng, Hsiang-Hsin Chen, Shun-Min Yang, Yeukuang Hwu, Catleya Rojviriya, Supagorn Rugmai, Saroj Rujirawat, Giorgio Margaritondo (2023). SYNAPSE: An international roadmap to large brain imaging. Physics Reports 999, 1-60. [Link] [PDF]

    2022

  5. Alexander J. White, Chou P. Hung, Chung-Chuan Lo (2022). HDR luminance normalization via contextual facilitation in highly recurrent spiking neural networks. Unmanned Systems Technology XXIV SPIE, p. 138-150. [Link] [PDF]

    2021

  6. Kuan-Lin Feng, Ju-Yun Weng, Chun-Chao Chen, Mohammed Bin Abubaker, Hsuan-Wen Lin, Ching-Che Charng, Chung-Chuan Lo, J. Steven de Belle, Tim Tully, Cheng-Chang Lien*, Ann-Shyn Chiang* (2021). Neuropeptide F inhibits dopamine neuron interference of long-term memory consolidation in Drosophila. iScience 24.12: 103506. [Link] [PDF]

  7. Yi-Shiuan Liu, Chih-Yu Yang, Ping-Fang Chiu, Hui-Chu Lin, Chung-Chuan Lo, Alan Szu-Han Lai, Chia-Chu Chang, Oscar Kuang-Sheng Lee* (2021). Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study. Journal of Medical Internet Research 23.9: e27098. [Link] [PDF]

  8. Rui Han, Hsuan-Pei Huang, Wan-Ju Lee, Chia-Lung Chuang, Hung-Hsiu Yen, Wei-Tse Kao, Hui-Yun Chang, Chung-Chuan Lo* (2021). Coordination through inhibition: control of stabilizing and updating circuits in spatial orientation working memory. eNeuro 8.5 [Link] [PDF] [Selected as a cover art]

  9. Zuo-Wei Yeh, Chia-Hua Hsu, Chen-Fu Yeh, Wen-Chieh Wu, Cheng-Te Wang, Chung-Chuan Lo, Kea-Tiong Tang (2021). POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons. 2021 IEEE International Symposium on Circuits and Systems (ISCAS) IEEE, p.1-5. [Link] [PDF]

  10. Patricia Parlevliet*, Andrey Kanaev, Chou P Hung, Andreas Schweiger, Frederick D Gregory, Ryad Benjamin Benosman, Guido C H E De Croon, Yoram Gutfreund, Chung-Chuan Lo, Cynthia F Moss (2021). Autonomous Flying with Neuromorphic Sensing. Frontiers in Neuroscience 15:672161 (PERSPECTIVE article) [Link] [PDF]

  11. Hsin-Yu Wu, Wei-Tse Kao, Harrison Hao-Yu Ku, Cheng-Te Wang*, Chih-Cheng Hsieh, Ren-Shuo Liu, Kea-Tiong Tang and Chung-Chuan Lo* (2021). A Bio-Inspired Motion Detection Circuit for the Computation of Optical Flow: The Spatial-Temporal Filtering Reichardt Model. 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS) IEEE, p.1-4. [Link] [PDF]

  12. Wen-Chieh Wu, Chen-Fu Yeh, Alexander James White, Cheng-Te Wang*, Zuo-Wei Yeh, Chih-Cheng Hsieh, Ren-Shuo Liu, Kea-Tiong Tang and Chung-Chuan Lo* (2021). Integer Quadratic Integrate-and-Fire (IQIF): A Neuron Model for Digital Neuromorphic Systems. 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS) IEEE, p.1-4. [Link] [PDF]

  13. Chen-Zhi Su, Kuan-Ting Chou, Hsuan-Pei Huang, Chiau-Jou Li, Ching-Che Charng, Chung-Chuan Lo* and Daw-Wei Wang* (2021). Identification of Neuronal Polarity by Node-Based Machine Learning. Neuroinformatics 1-16 [Link] [PDF]

  14. Rui Han, Tzu-Min Wei, Szu-Chiao Tseng and Chung-Chuan Lo* (2021). Characterizing approach behavior of Drosophila melanogaster in Buridan’s paradigm. PLoS One 16.1: e0245990 [Link] [PDF]

    2020

  15. Hao Chi, Lee Sun, Ren-Huei Shiu, Rui Han, Chien-Ping Hsieh, Tzu-Min Wei, Chung-Chuan Lo, Hui-Yun Chang and Tzu-Kang Sang* (2020). Cleavage of human tau at Asp421 inhibits hyperphosphorylated tau induced pathology in a Drosophila model. Scientific reports 10.1:1-15 [Link] [PDF]

  16. Kuo-Wei Kao and Chung-Chuang Lo* (2020). Short term depression, presynaptic inhibition and local neuron diversity play key functional roles in the insect antennal lobe. Journal of Computational Neuroscience 48.2:213-227 [Link] [PDF]

  17. Chi-Tin Shih*#, Yen-Jen Lin#, Cheng-Te Wang, Ting-Yuan Wang, Chih-Chen Chen, Ta-Shun Su, Chung-Chuang Lo*, and Ann-Shyn Chiang* (2020). Diverse Community Structures in the Neuronal-level Connectome of the Drosophila Brain. Neuroinformatics 18:267–281 [Link]

    2019

  18. Hung-Hsiu Yen, Rui Han and Chung-Chuan Lo* (2019). Quantification of Visual Fixation Behavior and Spatial Orientation Memory in Drosophila melanogaster. Frontiers in Behavioral Neuroscience 13:215 [Link] [PDF]

  19. Huang-Yu Yao, Hsuan-Pei Huang, Yu-Chi Huang and Chung-Chuan Lo (2019). Flyintel - a Platform for Robot Navigation based on a Brain-Inspired Spiking Neural Network. 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) p.219-220 (Conference proceeding) [Link] [PDF]

  20. Yu-Chi Huang, Cheng-Te Wang, Ta-Shun Su, Kuo-Wei Kao, Yen-Jen Lin, Chao-Chun Chuang, Ann-Shyn Chiang and Chung-Chuan Lo* (2019). A Single-Cell Level and Connectome-Derived Computational Model of the Drosophila Brain. Frontiers in Neuroinformatics 12:99 [Link] [PDF]

    2017

  21. Ta-Shun Su, Wan-Ju Lee, Yu-Chi Huang, Cheng-Te Wang and Chung-Chuan Lo* (2017). Coupled symmetric and asymmetric circuits underlying spatial orientation in fruit flies. Nature Communications 8:139. [Link] [PDF]

  22. Po-Yen Chang, Ta-Shun Su, Chi-Tin Shih* and Chung-Chuan Lo* (2017). The Topographical Mapping in Drosophila Central Complex Network and its Signal Routing. Frontiers in Neuroinformatics 11:26. [Link]

    2016

  23. Chung-Chuan Lo* and Ann-Shyn Chiang* (2016). Toward Whole-Body Connectomics Journal of Neuroscience 36:45. [Link]

  24. Cheng-Wei Li, Chung-Chuan Lo and Bor-Sen Chen* (2016). Estimating Sensorimotor Mapping From Stimuli to Behaviors to Infer C. Elegans Movements by Neural Transmission Ability Through Connectome Databases. IEEE Transactions on Neural Networks and Learning Systems 27:11. [Link]

  25. Chung-Chuan Lo* and Xiao-Jing Wang* (2016). Conflict Resolution as Near-Threshold Decision-Making: A Spiking Neural Circuit Model with Two-Stage Competition for Antisaccadic Task. PLOS Computational Biology 12:8. [Link][PDF]

    2015

  26. Cheng-Wei Li, Chung-Chuan Lo and Bor-Sen Chen* (2015). Robust Sensorimotor Control of Human Arm Model under State-Dependent Noises, Control-Dependent Noises and Additive Noises. Neurocomputing 167: 61–75. [Link]

  27. Chung-Chuan Lo#, Cheng-Te Wang and Xiao-Jing Wang*#(2015).(#: equal contribution) Speed-accuracy tradeoff by a control signal with balanced excitation and inhibition. Journal of Neurophysiology 114: 650–661. [Link] [PDF]

  28. Chi-Tin Shih*, Olaf Sporns, Shou-Li Yuan, Ta-Shun Su, Yen-Jen Lin, Chao-Chun Chuang, Ting-Yuan Wang, Chung-Chuang Lo, Ralph J. Greenspan and Ann-Shyn Chiang* (2015). Connectomics-Based Analysis of Information Flow in the Drosophila Brain. Current Biology 25:1-10. [Link] [PDF]

    2014

  29. Yen-Nan Lin, Po-Yen Chang, Pao-Yueh Hsiao and Chung-Chuan Lo* (2014). Polarity-specific high-level information propagation in neural networks. Frontiers in Neuroinformatics 8:27. [PDF]

  30. Yi-Hsuan Lee, Yen-Nan Lin, Chao-Chun Chuang and Chung-Chuan Lo* (2014). SPIN: A Method of Skeleton-based Polarity Identification for Neurons. Neurinformatics 12:487-507. [Link]

    2013

  31. Pao-Yueh Hsiao and Chung-Chuan Lo* (2013). A Plastic Cortico-Striatal Circuit Model of Adaptation in Perceptual Decision. Frontiers in Computational Neuroscience 7:178. [PDF]

  32. Cheng-Te Wang, Chung-Ting Lee, Xiao-Jing Wang and Chung-Chuan Lo* (2013). Top-Down Modulation on Perceptual Decision with Balanced Inhibition through Feedforward and Feedback Inhibitory Neurons. PLoS ONE 8:4. [PDF]

  33. Chung-Chuan Lo, Ronny P. Bartsch and Plamen Ch. Ivanov* (2013). Asymmetry and basic pathways in sleep-stage transitions. Europhysics Letters 102:10008. [PDF]

    2012

  34. Ying-Zu Huang, Chin-Song Lu, John C. Rothwell, Chung-Chuan Lo, Wen-Li Chuang, Yi-Hsin Weng, Szu-Chia Lai and Rou-Shayn Chen* (2012). Modulation of the Disturbed Motor Network in Dystonia by Multisession Suppression of Premotor Cortex. PLoS ONE 7:10. [PDF]


    Popular Science Articles

  • 電腦與人腦：現代電腦架構之父馮紐曼的腦科學講義 -- 中文版導讀 (貓頭鷹出版社，出版日期：2021-05-06) [Link]

  • 昆蟲動態視覺與其仿生應用，電腦與通訊 2020年12月號184期 (與工研院合作) [Link]

  • 小腦袋大數據-大腦圖譜研究計畫，科學月刊 2018 三月號 [Link(page 60-65)]


Publications by Lo in previous labs

Research papers

  1. Chung-Chuan Lo, Leanne Boucher, Martin Pare, Jeffery D. Schall and Xiao-Jing Wang* (2009). Proactive inhibitory control and attractor dynamics in countermanding action: a spiking neural circuit model. The Journal of Neuroscience 29:9059-9071. [PDF]

  2. Chung-Chuan Lo and Xiao-Jing Wang* (2006). Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks, Nature Neuroscience 9:957-963. [PDF] [Supp.]

  3. Chung-Chuan Lo, Thomas Chou, Thomas Penzel, Thomas E. Scammell, Robert E. Strecker, H. Eugene Stanley, and Plamen Ch. Ivanov* (2004). Common scale-invariant pattern of sleep-wake transitions across mammalian species. Proceedings of the National Academy of Sciences USA 50:17545-17548. [PDF]

  4. Thomas Penzel, Jan W. Kantelhardt, Chung-Chuan Lo, Karlheinz Voigt and Claus Vogelmeier* (2003). Dynamics of Heart Rate and Sleep Stages in Normals and Patients with Sleep Apnea. Neuropsychopharmacology 28:S48-S53.

  5. Chung-Chuan Lo, L. A. Nunes Amaral, S. Havlin, P. Ch. Ivanov, T. Penzel, J.-H. Peter and H. E. Stanley* (2002). Dynamics of sleep-wake transitions during sleep. Europhysics Letters 57:625-631. [PDF]

  6. P. Ch. Ivanov and Chung-Chuan Lo* (2002). Stochastic Approaches to Modeling of Physiological Rhythms, in Modeling Biomedical signals, edit. G. Nardulli & S. Stramaglia. World Scientific.

  7. Chung-Chuan Lo, Jui-Hung Hsu, You-Cheng Sheu, Chein-Min Chiang, Wen-Guey Wu, Wun-Shain Fann and Pei-Hsi Tsao* (1998). Effect of D57N mutation on membrane activity and molecular unfolding of cobra cardiotoxin. Biophysical Journal 75:2382-2388 .



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