November 12, 2017



P. Sawangjai, S. Hompoonsup, P. Leelaarporn, S. Kongwudhikunakorn, and T. Wilaiprasitporn, “Consumer grade EEG Measuring Sensors as Research Tools: A Review,” in IEEE Sensors Journal. doi:10.1109/JSEN.2019.2962874

P. Autthasan, X. Du, J. Arnin, S. Lamyai, M. Perera, S. Itthipuripat, T. Yagi, P. Manoonpong and T. Wilaiprasitporn, “A Single-Channel Consumer-Grade EEG Device for Brain-Computer Interface: Enhancing Detection of SSVEP and Its Amplitude Modulation,” in IEEE Sensors Journal. doi:10.1109/JSEN.2019.2958210

Thor, M. and Manoonpong, P. Error-based Learning Mechanism for Fast Online Adaptation in Robot Motor Control, IEEE Transactions on Neural Networks and Learning Systems , doi: 10.1109/TNNLS.2019.2927737

Thor, M. and Manoonpong, P. (2019) A fast online frequency adaptation mechanism for CPG-based robot motion control, IEEE Robotics and Automation Letters, Volume: 4 , Issue: 4 , Page(s): 3324 – 3331. DOI: 10.1109/LRA.2019.2926660

Rungruangsak-Torrissen, K.; Manoonpong, P. (2019) Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency. PLoS ONE 14(8): e0216030.

P. Lakhan, N. Banluesombatkul, V. Changniam, R. Dhithijaiyratn, P. Leelaarporn, E. Boonchieng, S. Hompoonsup and T. Wilaiprasitporn, “Consumer Grade Brain Sensing for Emotion Recognition,” in IEEE Sensors Journal. doi: 10.1109/JSEN.2019.2928781

T. Wilaiprasitporn, A. Ditthapron, K. Matchaparn, T. Tongbuasirilai, N. Banluesombatkul and E. Chuangsuwanich, “Affective EEG-Based Person Identification Using the Deep Learning Approach,” in IEEE Transactions on Cognitive and Developmental Systems. doi: 10.1109/TCDS.2019.2924648

A. Ditthapron, N. Banluesombatkul, S. Ketrat, E. Chuangsuwanich and T. Wilaiprasitporn, “Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder,” in IEEE Access, vol. 7, pp. 68415-68428, 2019.
doi: 10.1109/ACCESS.2019.2919143

Shaikh, Danish, Leon Bodenhagen, and Poramate Manoonpong. “Concurrent intramodal learning enhances multisensory responses of symmetric crossmodal learning in robotic audio-visual tracking.” Cognitive Systems Research 54 (2019): 138-153.


Shaikh, Danish, and Poramate Manoonpong. “A neuroplasticity-inspired neural circuit for acoustic navigation with obstacle avoidance that learns smooth motion paths.” Neural Computing and Applications (2018): 1-17.

Manoonpong, Poramate, and Christian Tetzlaff. “Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology.” Frontiers in neurorobotics 12 (2018).

Ambe, Y.; Aoi, S.; Nachstedt, T.; Manoonpong, P.; Woergoetter, F.; Matsuno, F. (2018) A simple analytical model reveals the functional role of embodied sensorimotor interaction in hexapod gaits, PLoS ONE 13(2): e0192469. (pdf)

Tramsen, H.T.; Gorb, S.N.; Zhang, H.; Manoonpong, P.; Dai, Z.; Heepe, L. (2018) Inversion of friction anisotropy in a bio-inspired asymmetrically structured surface. J. R. Soc. Interface 20170629. (pdf)

Thor, M.; Strøm-Hansen, T.; Larsen, L. B.; Kovalev, A.; Gorb, S. N.; Baird, E.; Manoonpong, P. (2018) A dung beetle-inspired robotic model and its distributed sensor-driven control for walking and ball rolling, Artificial Life and Robotics, pp. 1-9, (pdf)

Braun, J.M.; Wörgötter, F.; Manoonpong, P. (2018) Modular Neural Mechanisms for Gait Phase Tracking, Prediction, and Selection in Personalizable Knee-AnkleFoot-Orthose, Front Neurorobot. 2018; 12: 37, (pdf)