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                <front>
                    <journal-meta>
                    <journal-id journal-id-type="publisher-id">ei</journal-id>
                    <journal-title>Electronic Imaging</journal-title>
                    <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub">2470-1173</issn>
                    <publisher>
                        <publisher-name>Society for Imaging Science and Technology</publisher-name>
                        <publisher-loc>IS&amp;T 7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
                    </publisher>
                    </journal-meta>
                    <article-meta>
                    <article-id pub-id-type="doi">10.2352/EI.2023.35.10.HVEI-248</article-id>
                    <article-id pub-id-type="publisher-id">HVEI-248</article-id>
                    <article-categories>
                        <subj-group>
                        <subject>Article</subject>
                        </subj-group>
                    </article-categories>
                    <title-group>
                        <article-title>A more accurate model of dark-adapted ERG kinetics</article-title>
                    </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Tyler</surname>
                            <given-names>Christopher W.</given-names>
                           </name> <xref ref-type="aff" rid="aff1author1"/></contrib><aff id="aff1author1">Smith-Kettlewell Eye Research Institute, United States</aff></contrib-group><abstract>
                    <title>Abstract</title>
                    <p>Accurate models of the electroretinogram are important both for understanding the multifold processes of light transduction to ecologically useful signals by the retina, but also its diagnostic capabilities for the identification of the array of retinal diseases. The present neuroanalytic model of the human rod ERG is elaborated from the same general principles as that of Hood &amp; Birch (1992), but incorporates the more recent understanding of the early stages of ERG generation by Robson &amp; Frishman (2014). As a result, it provides a significantly better match in six different waveform features of the canonical ERG flash intensity series than previous models of rod responses.</p>
                    </abstract><pub-date>
                        <day>16</day>
                        <month>1</month>
                        <year>2023</year>
                        </pub-date><volume>35</volume>
                    <issue-acronym>HVEI</issue-acronym>
                    <issue-title>Human Vision and Electronic Imaging 2023</issue-title>
                    <issue seq="248">10</issue>
                    <fpage>248-1</fpage>
                    <lpage>248-4</lpage>
                    <permissions>
                         <copyright-statement>© 2023, Society for Imaging Science and Technology</copyright-statement>
                        <copyright-year>2023</copyright-year>
                    </permissions><kwd-group><kwd>color</kwd><kwd>perception</kwd><kwd>unique hues</kwd><kwd>opponent processes</kwd><kwd>complementary colors</kwd><kwd>CMYK</kwd></kwd-group></article-meta>
                </front>
                </article>