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Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model.

, , , , , , , , , and . ISBI, page 17-20. IEEE, (2014)

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Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference., , and . Neural Computing and Applications, 20 (8): 1181-1186 (2011)Development of the polishing tool system based on the pneumatic force servo., , , and . ICARM, page 126-131. IEEE, (2017)Classification of desired motion speed-based on cerebral hemoglobin information., , , , , and . SII, page 320-324. IEEE, (2016)Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data., , , , , , , , , and 1 other author(s). NeuroImage, (2015)Study of A Brain-Controlled Switch during Motor Imagery., , , , and . ICARM, page 152-157. IEEE, (2018)Study of electroencephalogram feature extraction and classification of three tasks of motor imagery., , , , , , and . ICARM, page 492-497. IEEE, (2017)Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data., , , , , , , and . MICCAI (3), volume 8675 of Lecture Notes in Computer Science, page 273-280. Springer, (2014)Classification of desired motion speed - A study based on cerebral hemoglobin information., , , , , , and . ICARM, page 115-119. IEEE, (2017)Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model., , , , , , , , , and . ISBI, page 17-20. IEEE, (2014)A Pilot Study Based on Cerebral Hemoglobin Information to Classify the Desired Walking Speed., , , , , , and . IEEE Robotics and Automation Letters, 3 (1): 532-536 (2018)