{"id":123,"date":"2022-11-10T15:56:26","date_gmt":"2022-11-10T14:56:26","guid":{"rendered":"https:\/\/www.ephyswiki.org\/?post_type=yada_wiki&#038;p=123"},"modified":"2025-11-23T09:11:08","modified_gmt":"2025-11-23T08:11:08","slug":"zeta-test","status":"publish","type":"yada_wiki","link":"https:\/\/www.ephyswiki.org\/?yada_wiki=zeta-test","title":{"rendered":"ZETA-test"},"content":{"rendered":"<p>A common procedure in pre-processing neural data is removing cells that are not responsive to an experimental stimulus. Many experimenters determine the \u2018stimulus responsiveness\u2019 of a cell by comparing its average spiking rate during the presentation and absence of a stimulus (see Figure 1A\u2013C for an example V1 cell). This procedure will therefore remove neurons that show no response, but has the risk of also removing neurons that show a strong, but complex time-locked response to stimuli. To remedy this shortcoming, Montijn et al. (2021) developed a binning-free statistical test for determining whether a neuron shows any time-locked modulation, called the ZETA-test for Zenith of Event-based Time-locked Anomalies (Figure 1D\u2013F).<\/p>\n<figure id=\"attachment_124\" aria-describedby=\"caption-attachment-124\" style=\"width: 2046px\" class=\"wp-caption alignright\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-124\" src=\"https:\/\/www.ephyswiki.org\/wp-content\/uploads\/Figure1-01.png\" alt=\"\" width=\"2056\" height=\"1148\" \/><figcaption id=\"caption-attachment-124\" class=\"wp-caption-text\">Figure 1. Graphical summary of the ZETA-test: it is binless and outperforms t-tests, ANOVAs, and model-based approaches.<\/figcaption><\/figure>\n<p>The zeta-test has also been adapted to time series data and for two-sample comparison. The ZETA-test can be downloaded for <a href=\"https:\/\/github.com\/Herseninstituut\/zetatest\">MATLAB<\/a> or <a href=\"https:\/\/github.com\/Herseninstituut\/zetapy\">python<\/a>.<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"wiki_cats":[11,13],"wiki_tags":[19],"class_list":["post-123","yada_wiki","type-yada_wiki","status-publish","hentry","wiki_cats-analysis","wiki_cats-experiments","wiki_tags-data-analysis"],"_links":{"self":[{"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=\/wp\/v2\/yada_wiki\/123","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=\/wp\/v2\/yada_wiki"}],"about":[{"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=\/wp\/v2\/types\/yada_wiki"}],"author":[{"embeddable":true,"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=123"}],"version-history":[{"count":3,"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=\/wp\/v2\/yada_wiki\/123\/revisions"}],"predecessor-version":[{"id":260,"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=\/wp\/v2\/yada_wiki\/123\/revisions\/260"}],"wp:attachment":[{"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=123"}],"wp:term":[{"taxonomy":"wiki_cats","embeddable":true,"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=%2Fwp%2Fv2%2Fwiki_cats&post=123"},{"taxonomy":"wiki_tags","embeddable":true,"href":"https:\/\/www.ephyswiki.org\/index.php?rest_route=%2Fwp%2Fv2%2Fwiki_tags&post=123"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}