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<urlset xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:image="http://www.google.com/schemas/sitemap-image/1.1" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd"><url><loc>https://neurokim.com/2019/09/13/representing-states-spaces-ccn2019-tutorial-by-kimtim/</loc><lastmod>2019-09-15T15:08:00+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://neurokim.com/2017/10/02/the-hippocampus-as-a-predictive-map/</loc><image:image><image:loc>https://neurokim.com/wp-content/uploads/2017/10/screen-shot-2017-10-02-at-17-42-21-e1506976455243.png</image:loc><image:title>Successor representation of a linear track</image:title><image:caption>A "predictive representation" of location for a hypothetical well-trained rat on a track. When the animal is at the start of the track (top), cells encoding upcoming locations will start firing. As the animal moves along the track (middle), the cells encoding locations behind the animal will stop firing and and those encoding upcoming locations will remain active. This pattern of firing produces a backward skewing place field (bottom).</image:caption></image:image><lastmod>2017-10-02T20:48:14+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://neurokim.com</loc><changefreq>daily</changefreq><priority>1.0</priority><lastmod>2019-09-15T15:08:00+00:00</lastmod></url></urlset>
