Forward Models: Supervised Learning with a Distal Teacher

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Vocal Imitation in Sensorimotor Learning Models: A Comparative Review

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Abstraction in Recognition to Solve the Correspondence Problem for Robot Imitation

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Goal-Directed Tactile Exploration for Body Model Learning Through Self-Touch on a Humanoid Robot

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Generative Graphical Inverse Kinematics

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Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks

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Discrimination Between Genuine Versus Fake Emotion Using Long-Short Term Memory with Parametric Bias and Facial Landmarks

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Applying a WNN-HMM Based Driver Model in Human Driver Simulation: Method and Test

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A Self-Organized Internal Models Architecture for Coding Sensory–Motor Schemes

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Predictive error processing distinguishes between relevant and irrelevant errors after visuomotor learning

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Training a Vocal Tract Synthesiser to imitate speech using Distal Supervised Learning

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The Dysfunction of the Cerebellum and Its Cerebellum-Reward-Sensorimotor Loops in Chronic Spontaneous Urticaria

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Motor adaptation to different dynamic environments is facilitated by indicative context stimuli

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Cognitive Map Construction and Use: A Parallel Distributed Processing Approach

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Hierarchies of Coupled Inverse and Forward Models for Abstraction in Robot Action Planning, Recognition and Imitation

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Learning Saccadic Gaze Control via Motion Prediciton

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Bridging the Model-Reality Gap With Lipschitz Network Adaptation

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The Emergence of Language: How to Simulate It

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Solving the Inverse Kinematics in Humanoid Robots: A Neural Approach

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Accuracy of Motor Error Predictions for Different Sensory Signals

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Unsupervised Learning of a Kinematic Arm Model

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Learning diagnostic skills for adaptive teaching – a theoretical foundation

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