An internal model for sensorimotor integration.

By D. M. Wolpert, Zoubin Ghahramani, Michael I. Jordan. 1995

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Citations in the corpus

Curiosity-Driven Exploration by Self-Supervised Prediction (2017, methodology): “Our approach of jointly training forward and inverse models for learning a feature space has similarities to (Agrawal et al., 2016; Jordan & Rumelhart, 1992; Wolpert et al., 1995), but these works use the learned models of dynamics for planning a sequence of actions instead of exploration.”
Learning Visual Predictive Models of Physics for Playing Billiards (2015, background): “Models of physics and model based control Works such as (Jordan & Rumelhart, 1992; Wolpert et al., 1995; Haruno et al., 2001; Todorov & Ghahramani, 2003) proposed using internal models of the external world for planning actions.”
Zero-Shot Visual Imitation (2018, background): “[25]; Agrawal et al.”
Neuroscience and Biobehavioral Reviews Auditory Verbal Hallucinations as Atypical Inner Speech Monitoring, and the Potential of Neurostimulation as a Treatment Option (unknown): “If the planned action then occurs (and appropriate sensory information is received as reafference), the event is labelled as self-generated (Seal et al., 2004; Wolpert et al., 1995).”
The emulation theory of representation: Motor control, imagery, and perception (2004, methodology): “The first application is within the domain of motor control, and the exemplar of an application of the emulation framework to motor control that I will use is a model by Wolpert, Ghahramani and Jordan (Wolpert et al., 1995).”
Visual Feedback Control of Hand Movements (2004, background): “Such models have had recent success in accounting for perceptual estimation tasks in which subjects appear to optimally combine different sources of sensory information, and in one case feed-forward information from motor commands (Ghahramani, 1995; Wolpert et al., 1995b; Ernst and Banks, 2002; Va”
Noise in the nervous system (2008, methodology): “Kalman filtering in the CNS was demonstrated in behavioural studies of hand positio”
Attention, Uncertainty, and Free-Energy (2010, background): “…of attention is one of many accounts that emphasize the role of probabilistic inference in sensory processing; including sensorimotor integration (Wolpert et al., 1995; Körding and Wolpert, 2004), sensory integration (Jacobs, 1999; Ernst and Banks, 2002; Knill and Saunders, 2003; Alais and Burr,…”
Computational neuroanatomy of speech production (2012, background): “The inclusion of internal forward prediction in motor control circuits as a source of SFC provides a solution to the engineering problem outlined above, and the existence of such internal models in SFC has been supported experimentall”
Vestibular system: the many facets of a multimodal sense. (2008, unknown): “More recent behavioral investigations have generalized this original proposal by suggesting that an internal prediction of the sensory consequence of our actions, derived from motor efference copy, is compared with actual sensory input (Wolpert et al. 1995, Decety 1996, Farrer et al. 2003).”
The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics (2014, background): “Human behaviour is consistent with Bayesian inference in many sensory [1, 2, 3, 4], motor [5, 6] and cognitive [7, 8, 9] tasks.”
Synaptic sampling: A connection between PSP variability and uncertainty explains neurophysiological observations (2015, background): “In the laboratory, humans have been shown to use information about uncertainty when solving a variety of sensory [9, 10, 11, 12], motor [13, 14] and cognitive [15, 16, 17] tasks.”
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop (2017, background): “Key insights from past research provided probabilistic modelling and neurally inspired algorithms (see e.g. Wolpert et al. (1995).”
Bayesian decision theory in sensorimotor control. (2006, unknown): “Some psychophysical experiments [ 43 ] tested the hypothesis that people use such a mechanism to estimate how their hand moves in the dark.”