Complementary roles of basal ganglia and cerebellum in learning and motor control

Doya, Kenji

doi:10.1016/s0959-4388(00)00153-7

Cited by 803 publications

(667 citation statements)

References 72 publications

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“…Alternative interpretations can be found in the motor control, especially computational, literature [e.g., Doya, 2000;Flanagan and Wing, 1997;Haruno et al, 2001;Schall and Bichot, 1998;Wolpert and Ghahramani, 2000;Wolpert and Kawato, 1998], which shows how sensory and motor experiences may interact in movement representation, generation, and production. However, probing such models was beyond the scope of the present study centred on current cognitive models of apraxia.…”

Section: How Far Can Brain Imaging Inform Us About the Functional Arcmentioning

confidence: 99%

Imaging a cognitive model of apraxia: The neural substrate of gesture‐specific cognitive processes

Peigneux

Linden

Garraux

et al. 2004

Human Brain Mapping

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Abstract:The present study aimed to ascertain the neuroanatomical basis of an influential neuropsychological model for upper limb apraxia [Rothi LJ, et al. The Neuropsychology of Action. 1997. Hove, UK: Psychology Press]. Regional cerebral blood flow was measured in healthy volunteers using H 2 15O PET during performance of four tasks commonly used for testing upper limb apraxia, i.e., pantomime of familiar gestures on verbal command, imitation of familiar gestures, imitation of novel gestures, and an action-semantic task that consisted in matching objects for functional use. We also re-analysed data from a previous PET study in which we investigated the neural basis of the visual analysis of gestures. First, we found that two sets of discrete brain areas are predominantly engaged in the imitation of familiar and novel gestures, respectively. Segregated brain activation for novel gesture imitation concur with neuropsychological reports to support the hypothesis that knowledge about the organization of the human body mediates the transition from visual perception to motor execution when imitating novel gestures [Goldenberg Neuropsychologia 1995;33:63-72]. Second, conjunction analyses revealed distinctive neural bases for most of the gesture-specific cognitive processes proposed in this cognitive model of upper limb apraxia. However, a functional analysis of brain imaging data suggested that one single memory store may be used for "to-be-perceived" and "to-be-produced" gestural representations, departing from Rothi et al.'s proposal. Based on the above considerations, we suggest and discuss a revised model for upper limb apraxia that might best account for both brain imaging findings and neuropsychological dissociations reported in the apraxia literature.

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Section: How Far Can Brain Imaging Inform Us About the Functional Arcmentioning

confidence: 99%

Imaging a cognitive model of apraxia: The neural substrate of gesture‐specific cognitive processes

Peigneux

Linden

Garraux

et al. 2004

Human Brain Mapping

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“…2.1. This is like the role sharing between reinforcement learning and unsupervised learning in our brain [13].…”

Section: Actor-critic Methods With State Space Compression and Adaptivmentioning

confidence: 95%

A Nonlinear Approach to Robust Routing Based on Reinforcement Learning with State Space Compression and Adaptive Basis Construction

Satoh

2008

IEICE Transactions on Fundamentals of Electronics, Communicatio

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SUMMARY A robust routing algorithm was developed based on reinforcement learning that uses (1) reward-weighted principal component analysis, which compresses the state space of a network with a large number of nodes and eliminates the adverse effects of various types of attacks or disturbance noises, (2) activity-oriented index allocation, which adaptively constructs a basis that is used for approximating routing probabilities, and (3) newly developed control space compression based on a potential model that reduces the control space for routing probabilities. This algorithm takes all the network states into account and reduces the adverse effects of disturbance noises. The algorithm thus works well, and the frequencies of causing routing loops and falling to a local optimum are reduced even if the routing information is disturbed.

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“…Studies on mammals have investigated neural substrates specifically assigned to motor learning in various motor tasks (Llinas and Welsh, 1993;Karni et al, 1995;Kleim et al, 1998;Doya, 2000). A question posed here is how different neural mechanisms could be responsible for associative learning and motor learning in Drosophila separately.…”

Section: Discussionmentioning

confidence: 99%

Dissociation of visual associative and motor learning in Drosophila at the flight simulator

Wang

Feng

et al. 2003

Behavioural Processes

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Complementary roles of basal ganglia and cerebellum in learning and motor control

Cited by 803 publications

References 72 publications

Imaging a cognitive model of apraxia: The neural substrate of gesture‐specific cognitive processes

Imaging a cognitive model of apraxia: The neural substrate of gesture‐specific cognitive processes

A Nonlinear Approach to Robust Routing Based on Reinforcement Learning with State Space Compression and Adaptive Basis Construction

Dissociation of visual associative and motor learning in Drosophila at the flight simulator

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