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<p class="MsoNormal"><a href="https://www.journals.elsevier.com/vision-research/call-for-papers/what-do-deep-neural-networks-tell-us-about-biological-vision"><span style="color:blue">https://www.journals.elsevier.com/vision-research/call-for-papers/what-do-deep-neural-networks-tell-us-about-biological-vision</span></a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Recent years have seen a huge increase in the application of deep learning techniques and ‘biologically inspired’ deep neural networks (DNNs) to a broad range of issues in biological vision. Indeed, DNNs have been described by some as a
 new framework for vision research, allowing an opportunity to ‘reverse engineer’ the biological system. These claims are, in part, based on work showing human-level performance by DNNs in tasks such as image classification and are supported by advances in
 the development of methods for comparing representational structures computed by DNNs with biological vision systems. But the suitability of such networks as a theoretical framework for understanding biological vision is unclear. There remain many important
 questions: How should theoretically relevant and irrelevant properties of DNN architectures and processing parameters be distinguished? How can network performance be rigorously compared with corresponding biological data? What is the range of relevant performance
 data for evaluating network outputs? And to what extent can network activity be used to formulate empirically testable models of biological vision? This special issue invites novel contributions on these and related topics. We welcome original articles that
 consider the application of DNNs to understanding any aspect of biological vision.
<b>We particularly welcome contributions that provide a critical evaluation of DNNs as models of human vision.<o:p></o:p></b></p>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<p class="MsoNormal"><b>Deadline for Submissions: November 1<sup>st</sup>, 2019. </b>
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;color:#947025">Charles Leek PhD CPsychol AFBPsS FHEA
<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;color:#947025">Head of Institute of Life and Human Sciences<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;color:#947025">Professor of Cognitive Neuroscience
<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;color:#947025">School of Psychology</span></b><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;color:#806000">University of Liverpool<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:black">R220 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:black">R324b, 3<sup>rd</sup> Floor, Life Sciences Building, Crown Street, L69 7ZB<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:black">Tel: 0151 795 7650 | Email:
</span><u><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:#0563C1"><a href="mailto:c">c</a></span></u><u><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:blue">harles.leek@liverpool.ac.uk</span></u><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:black"> </span><span style="font-size:10.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:black">Web:
</span><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:#0070C0"><a href="www.liverpool.ac.uk/psychology/staff/charles-leek ">www.liverpool.ac.uk/psychology/staff/charles-leek </a></span><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:blue">// </span><span style="font-size:10.0pt;font-family:"Trebuchet MS",sans-serif;color:#006FC9"><a href="https://sites.google.com/view/leeklab/home"><span style="color:#0563C1">https://sites.google.com/view/leeklab/home</span></a><o:p></o:p></span></p>
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