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cs.LG2026
CDRL: A Reinforcement Learning Framework Inspired by Cerebellar Circuits and Dendritic Computational Strategies
Sibo Zhang, Rui Jing, Liangfu Lv +2
Reinforcement learning (RL) has achieved notable performance in high-dimensional sequential decision-making tasks, yet remains limited by low sample efficiency, sensitivity to nois…
q-bio.NC2026
Differential Dynamic Causal Nets: Model Construction, Identification and Group Comparisons
Kang You, Gary Green, Jian Zhang
Pathophysiolpgical modelling of brain systems from microscale to macroscale remains difficult in group comparisons partly because of the infeasibility of modelling the interactions…