Lin Zhang

Spiking neural network-based decision framework for real-time-ball-on-plate balancing: Sim-to-real

This paper integrates reinforcement learning with reward-modulated, bio-inspired SNNs that employ reward-modulated spike-timing-dependent plasticity (R-STDP) to address real-time control tasks and reconstructs the task-oriented state space and reward mechanism to realize a cross-task control framework.