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  The ADaptation and Anticipation Model (ADAM) of sensorimotor synchronization

van der Steen, M. C., & Keller, P. E. (2013). The ADaptation and Anticipation Model (ADAM) of sensorimotor synchronization. Frontiers in Human Neuroscience, 7: 253. doi:10.3389/fnhum.2013.00253.

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 Creators:
van der Steen, M. C.1, Author           
Keller, Peter E.1, 2, Author           
Affiliations:
1Max Planck Research Group Music Cognition and Action, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634555              
2Music Cognition and Action Group, The MARCS Institute, University of Western Sydney, Australia, ou_persistent22              

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Free keywords: Sensorimotor synchronization; Computational model; Temporal adaptation; Error correction; Temporal anticipation; Predictive internal models
 Abstract: A constantly changing environment requires precise yet flexible timing of movements. Sensorimotor synchronization (SMS)—the temporal coordination of an action with events in a predictable external rhythm—is a fundamental human skill that contributes to optimal sensory-motor control in daily life. A large body of research related to SMS has focused on adaptive error correction mechanisms that support the synchronization of periodic movements (e.g., finger taps) with events in regular pacing sequences. The results of recent studies additionally highlight the importance of anticipatory mechanisms that support temporal prediction in the context of SMS with sequences that contain tempo changes. To investigate the role of adaptation and anticipatory mechanisms in SMS we introduce ADAM: an ADaptation and Anticipation Model. ADAM combines reactive error correction processes (adaptation) with predictive temporal extrapolation processes (anticipation) inspired by the computational neuroscience concept of internal models. The combination of simulations and experimental manipulations based on ADAM creates a novel and promising approach for exploring adaptation and anticipation in SMS. The current paper describes the conceptual basis and architecture of ADAM.

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Language(s): eng - English
 Dates: 2013-05-212013-06-10
 Publication Status: Published online
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 Identifiers: DOI: 10.3389/fnhum.2013.00253
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Title: Frontiers in Human Neuroscience
  Abbreviation : Front Hum Neurosci
Source Genre: Journal
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Pages: - Volume / Issue: 7 Sequence Number: 253 Start / End Page: - Identifier: ISSN: 1662-5161
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5161