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Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces.

, , , , and . NER, page 243-246. IEEE, (2019)

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GRID: A Platform for General Robot Intelligence Development., , , , and . CoRR, (2023)Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4173-4183. PMLR, (2020)Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface., , , , and . EMBC, page 3078-3081. IEEE, (2020)Zap Q-Learning With Nonlinear Function Approximation., , , , and . NeurIPS, (2020)Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats., , , , and . SMC, page 1015-1020. IEEE, (2020)IDDR-NGP: Incorporating Detectors for Distractors Removal with Instant Neural Radiance Field., , , , , and . ACM Multimedia, page 1343-1351. ACM, (2023)Considering Neural Connectivity in Point Process Decoder for Brain-Machine Interface*., , and . EMBC, page 6341-6344. IEEE, (2021)PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training., , , , , and . IROS, page 3621-3627. (2023)Hierarchical Dynamical Model for Multiple Cortical Neural Decoding., , , , , , and . Neural Comput., 33 (5): 1372-1401 (2021)A new Energy-Saving Sector Clustering Data Aggregation Method in Wireless Sensor Networks: Energy saving sector clustering data aggregation method., , and . SPCNC, page 93-97. ACM, (2023)