Nov 14, 2023 · This study developed a new reservoir computing method, a class of recurrent neural networks, based on reward-modulated Hebbian learning (RMHL) for the ...

Oct 22, 2024 · Reservoir computing, which enables temporal information processing based on neural dynamics, has been utilized as a model to explain motor ...

Nov 14, 2023 · This study developed a new reservoir computing method, a class of recurrent neural networks, based on reward-modulated Hebbian learning (RMHL) for the ...

Spatiotemporal motor learning with reward-modulated Hebbian plasticity in modular reservoir computing. https://doi.org/10.1016/j.neucom.2023.126740 ·. Journal ...

In conclusion, this model is proposed as a new computational model of temporal processing of the striatum, where the cortical areas generate stable oscillations ...

In conclusion, this model is proposed as a new computational model of temporal processing of the striatum, where the cortical areas generate stable oscillations ...

Spatiotemporal motor learning with reward-modulated Hebbian plasticity in modular reservoir computing. Y Kawai, M Asada. Neurocomputing 558, 126740, 2023. 6 ...

We developed a novel learning algorithm for reservoir computing that models the interaction between reinforcement and unsupervised learning observed in ...

Sep 19, 2023 · Spatiotemporal motor learning with reward-modulated Hebbian plasticity in modular reservoir computing. Neurocomputing. 2023;558:126740. doi ...

Jul 1, 2019 · This novel learning algorithm converges on simulated motor tasks on which previous reservoir computing algorithms fail and reproduces ...