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Robotics Laboratory, Department of Computer Science, USA
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Laboratory for Neuroscience, Department of Biological Sciences University of Massachusetts Lowell, Lowell, MA 01854, USA
Laboratory for Neuroscience, Department of Biological Sciences University of Massachusetts Lowell, Lowell, MA 01854, USA
Laboratory for Neuroscience, Department of Biological Sciences University of Massachusetts Lowell, Lowell, MA 01854, USA
Robotics Laboratory, Department of Computer Science, USA
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The Open Neurology Journal
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Year: 2017
Volume: 11
E-location ID: TONEUJ-11-59
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Shultz A, Lee S, Guaraldi M, Shea T, Yanco H. Robot-Embodied Neuronal Networks as an Interactive Model of Learning . Open Neu J, 2017; 11: . http://dx.doi.org/10.2174/1874205X01711010059Article History
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Electronic Publication Date: 04 Dec 2017
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open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Shultz A, Lee S, Guaraldi M, Shea T, Yanco H. Robot-Embodied Neuronal Networks as an Interactive Model of Learning . Open Neu J, 2017; 11: . http://dx.doi.org/10.2174/1874205X01711010059Export Citation
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© 2017 Shultz et al.
Open-Access License: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Address correspondence to this author at the Laboratory for Neuroscience, Department of Biological Sciences University of Massachusetts Lowell, Lowell, MA 01854, USA, Tel: 978-934-2881; Fax: 978-934-3044; E-mail: thomas_shea@uml.edu
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