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padding:0in 0in 0in 0in'> <table class=MsoNormalTable border=0 cellspacing=6 cellpadding=0 width="100%" style='width:100.0%;mso-cellspacing:4.5pt;mso-padding-alt: 0in 0in 0in 0in'> <tr style='mso-yfti-irow:0;height:471.15pt'> <td style='padding:0in 0in 0in 0in;height:471.15pt'> <p class="MsoNormal"> <![if !supportLists]><b>PUBLICATIONS</b>: Neuroscience<![endif]></p> <p class="MsoNormal"> <![if !supportLists]><![endif]> </p> <p>&nbsp;<b><u>Peer-reviewed papers:</u></b></p> <p class="MsoNormal"> G. Gordon, D. M. Kaplan, B. Lankow, D. Y. Little, J. Sherwin, B. A. Suter and L. Thaler,  Towards an Integrated Approach to Perception and Action: Conference Report and Future Directions , Frontiers in Systems Neuroscience, 5, 00020 (2011) [<a href="http://www.frontiersin.org/systems_neuroscience/10.3389/fnsys.2011.00020/abstract">link</a>]</p> <p class="MsoNormal">&nbsp;</p> <p class="MsoNormal"> <![if !supportLists]><![endif]> <p class="MsoNormal"> G. Gordon and E. Ahissar,  Reinforcement Active Learning Hierarchical Loops , In: International Joint Conference of Neural Networks (IJCNN) San Jose, CA, 2011 (Best Student Paper Award). [<a target=_blank href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6033617&tag=1">link</a>]</p> <p> G. Gordon,  Hierarchical Exhaustive Construction of Autonomously Learning Networks , In: 4th International Workshop on Evolutionary and Reinforcement Learning for Autonomous Robot Systems (ERLARS 2011), Berlin, Germany (Best Paper Award) [<a target=_blank href="Hierarchical Construction erlars2011.pdf">PDF</a>]</p> <p class="MsoNormal"> G. Gordon and E. Ahissar.  Hierarchical Curiosity Loops and Active Sensing. Neural Networks, doi: 10.1016/j.neunet.2012.02.024 [<a target=_blank href="http://www.sciencedirect.com/science/article/pii/S0893608012000536">link</a>] </p> <p class="MsoNormal">&nbsp;</p> <p></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> </td> </tr> </table> </td> <td valign=top style='width:150.5pt;background:#5B5BFF; padding:0in 0in 0in 0in'> <table class=MsoNormalTable border=0 cellspacing=6 cellpadding=0 width="100%" style='width:100.0%;mso-cellspacing:4.5pt;mso-padding-alt: 0in 0in 0in 0in'> <tr style='mso-yfti-irow:0;mso-yfti-lastrow:yes'> <td style='padding:0in 0in 0in 0in'> <p>&nbsp;<a style='color:White'><b>By topic: </b></a><a href="CenterPublications.html" style='color:White'>all</a></p> <p>&nbsp;<a href="CenterPublications_MLC.html" style='color:White'>Multidimensional Linguistic Complexity</a></p> <p>&nbsp;<a href="CenterPublications_RoughSurfaces.html" style='color:White'>Rough Surfaces</a></p> <p>&nbsp;<a href="CenterPublications_Decoherence.html" style='color:White'>Quantum Decoherence Control</a></p> <p>&nbsp;<a href="CenterPublications_QuantumInformation.html" style='color:White'>Quantum Information</a></p> <p>&nbsp;<a href="CenterPublications_QuantumGames.html" style='color:White'>Quantum Games</a></p> <p>&nbsp;<a href="CenterPublications_Neuroscience.html" style='color:White'>Neuroscience</a></p> <p>&nbsp;</p> <p>&nbsp;</p> </td> </tr> </table> <p class=MsoNormal><o:p></o:p></p> </td> </tr> </table> </body> </html>