Pages that link to "Item:Q1899185"
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The following pages link to Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning (Q1899185):
Displaying 14 items.
- Goal-directed learning of features and forward models (Q280351) (← links)
- Reservoir computing approaches to recurrent neural network training (Q458488) (← links)
- A self-organizing context-based approach to the tracking of multiple robot trajectories (Q698429) (← links)
- Learning movement sequences with a delayed reward signal in a hierarchical model of motor function (Q872389) (← links)
- Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems (Q1886588) (← links)
- A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance (Q1932118) (← links)
- Re-visiting the echo state property (Q1942701) (← links)
- Real-time sensory-motor integration of hippocampal place cell replay and prefrontal sequence learning in simulated and physical rat robots for novel path optimization (Q2210938) (← links)
- Learning flexible sensori-motor mappings in a complex network (Q2376421) (← links)
- Integration of velocity-dependent spatio-temporal structure of place cell activation during navigation in a reservoir model of prefrontal cortex (Q2688636) (← links)
- The Neuronal Replicator Hypothesis (Q3057229) (← links)
- A Robust Model of Gated Working Memory (Q5131168) (← links)
- A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity (Q5214353) (← links)
- Continuous Online Sequence Learning with an Unsupervised Neural Network Model (Q5380592) (← links)
