Robot-Embodied Neuronal Networks as an Interactive Model of Learning Alternate Title: Corrigendum



Abraham M Shultz1, Sangmook Lee2, Mary Guaraldi2, Thomas B. Shea2, *, Holly A. Yanco1
1 Robotics Laboratory, Department of Computer Science, USA
2 Laboratory for Neuroscience, Department of Biological Sciences University of Massachusetts Lowell, Lowell, MA 01854, USA


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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