Hongbao Li

According to our database1, Hongbao Li authored at least 10 papers between 2009 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM.
IEEE Trans. Cogn. Dev. Syst., 2018

Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model.
Neural Comput., 2018

2017
Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding.
IEEE Trans. Neural Networks Learn. Syst., 2017

2016
Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces.
IEEE Trans. Biomed. Eng., 2016

Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Prediction of switching time between movement preparation and execution by neural activity in monkey premotor cortex.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Optogenetic control of thalamus as a tool for interrupting penicillin induced seizures.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Clustering and observation on neuron tuning property for brain machine interfaces.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Decoding the non-stationary neuron spike trains by dual Monte Carlo point process estimation in motor Brain Machine Interfaces.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2009
Extensive conformational searches of 13 representative dipeptides and an efficient method for dipeptide structure determinations based on amino acid conformers.
J. Comput. Chem., 2009


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