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• W2317505522 abstract "Event Abstract Back to Event Unifying procedural memory consolidation and structure learning in a recurrent network model of motor control Quan Wang1, Constantin A. Rothkopf1* and Jochen Triesch1 1 Frankfurt Institute for Advanced Studies, Germany Humans can improve their performance in movement sequence tasks through practice, but such motor learning has shown a wide variety of puzzling and partly contradictory effects. Blocked training of multiple sequences has been shown to lead to reduced retention compared to interleaved training and a wide variety of proactive and retroactive facilitation and interference effects have been observed [1]. Furthermore, recent studies have shown that transfer of learning between different tasks is based on structural task similarities [2]. Here we address the question of how these phenomena can be understood in terms of the shaping of neuronal representations through different plasticity mechanisms in a recurrent network model. We use a sparsely connected recurrent network whose connectivity is shaped by STDP, intrinsic plasticity, and synaptic scaling, similar to [3]. Additionally, this network is connected to a layer of motor neurons mediating the movement sequence. We apply this network to a series of experiments about movement sequence learning [2, 4-6] and use a single set of parameters in all simulations. The network learns to carry out the correct movement sequences over trials and shows striking similarity to the human behavior in a variety of training schedules over different sequence similarities. We show how psychophysical performance measures are reflective of the underlying neuronal representations in the recurrent network. These results are interpreted in terms of the changes in the neuronal sequence representations and testable predictions for further experiments are derived. Specifically, we show how sequence similarity and training schedule interact to produce a rich set of interference and facilitation effects thereby unifying structure learning and procedural consolidation. 1: Robertson, Pascual-Leone, Miall (2004), NRNN 2: Braun, Waldert, Aertsen, Wolpert, Mehring (2010), PLOS 3: Pipa, Lazar,Triesch. (2009) Front. Comput. Neurosci. 4: Koedijker, Oudejans, Beek (2010) JMB 5: Shea, Panzer, Wilde (2006), JMB 6: Shea, Panzer (2008) HMS Acknowledgements This work was partially supported by the BMBF Project ”Bernstein Fokus: Neurotechnologie Frankfurt, FKZ 01GQ0840”. Keywords: Learning and plasticity, motor learning, Recurrent networks Conference: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011. Presentation Type: Poster Topic: learning and plasticity (please use learning and plasticity as keyword) Citation: Wang Q, Rothkopf CA and Triesch J (2011). Unifying procedural memory consolidation and structure learning in a recurrent network model of motor control. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00096 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 23 Aug 2011; Published Online: 04 Oct 2011. * Correspondence: Dr. Constantin A Rothkopf, Frankfurt Institute for Advanced Studies, Frankfurt, Germany, constantin.rothkopf@cogsci.tu-darmstadt.de Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Quan Wang Constantin A Rothkopf Jochen Triesch Google Quan Wang Constantin A Rothkopf Jochen Triesch Google Scholar Quan Wang Constantin A Rothkopf Jochen Triesch PubMed Quan Wang Constantin A Rothkopf Jochen Triesch Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page." @default.
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• W2317505522 date "2011-01-01" @default.
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• W2317505522 title "Unifying procedural memory consolidation and structure learning in a recurrent network model of motor control" @default.
• W2317505522 doi "https://doi.org/10.3389/conf.fncom.2011.53.00096" @default.
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