{"id":16617,"date":"2024-11-11T06:00:27","date_gmt":"2024-11-11T11:00:27","guid":{"rendered":"http:\/\/whamit.mit.edu\/?p=16617"},"modified":"2024-12-28T16:53:41","modified_gmt":"2024-12-28T21:53:41","slug":"minicourse-11-13-14-jason-shaw-yale","status":"publish","type":"post","link":"https:\/\/ling-phil.mit.edu\/whamit\/2024\/11\/11\/minicourse-11-13-14-jason-shaw-yale\/","title":{"rendered":"Minicourse 11\/13-14 \u0097 Jason Shaw (Yale)"},"content":{"rendered":"<p><strong>Speaker: <\/strong><a href=\"https:\/\/campuspress.yale.edu\/jasonshaw\/\"> Jason Shaw<\/a> <br class=\"\" \/><br clear='none'\/>\n<strong>Title: <\/strong>Lecture #1: Modelling phonetic variation with the neural dynamics of movement preparation<br class=\"\" \/><br clear='none'\/>\n<strong>Time: <\/strong> Friday, November 13th, 1-2:30pm<br class=\"\" \/><br clear='none'\/>\n<strong>Location: <\/strong>32-D461<br class=\"\" \/><br clear='none'\/>\n<br class=\"\" \/><br clear='none'\/>\n<strong>Abstract: <\/strong> A Dynamic Neural Field (DNF) is a formal object developed within systems neuroscience with the intention of giving a theoretical foundation to the notions of cooperation and competition between neural populations (Amari, 1977). DNFs provide the formal foundation for a general theory of movement preparation (Erlhagen &amp; Sch\u00f6ner, 2002). More recently, DNFs have been applied specifically to the preparation of speech movements and the interaction of this cognitive process with phonological representations (Gafos &amp; Kirov, 2010; Kirkham &amp; Strycharczuk, 2024; Roon &amp; Gafos, 2016; Stern et al., 2022; Stern &amp; Shaw, 2023a, 2023b; Tilsen, 2019). There are now neural-based explanations for common phonetic patterns, including contrastive hyperarticulation, trace effects in speech errors, phonetic convergence\/divergence to an interlocuter, and leaky prosody. Drawing on the broader framework of Dynamic Field Theory (Sch\u00f6ner &amp; Spencer, 2016), this lecture will introduce the formal definition of a DNF and applications to modelling phonetic variation.<\/p>\n<p><strong>Title: <\/strong>Lecture #2: Revisiting the gestural parameters of prosodic modulation with a new gesture dynamics<br class=\"\" \/><br clear='none'\/>\n<strong>Time: <\/strong> Thursday, November 14th, 4.30-6pm<br class=\"\" \/><br clear='none'\/>\n<strong>Location: <\/strong>32-D461<br class=\"\" \/><br clear='none'\/>\n<br class=\"\" \/><br clear='none'\/>\n<strong>Abstract: <\/strong> Fowler\u0092s (1980) critique of extrinsic timing theories served as a launching point for the dynamical systems approach to phonological representations. Since then, there has been substantial development of theories centered on a particular dynamical system, the damped mass-spring (e.g., Browman &amp; Goldstein, 1989; Saltzman &amp; Munhall, 1989) and complexifications of this system (Byrd &amp; Saltzman, 1998; Sorensen &amp; Gafos, 2016). Early studies showed that articulatory variation across prosodic positions was difficult to capture parsimoniously with the parameters of the damped mass-spring system (e.g., Beckman et al., 1992; Cho, 2006). These shortcomings motivated theories of gesture-external modulation, which maintain the damped mass spring as the model of the gesture but conceptualize prosody as trans-gestural modulation of time (Byrd et al., 2006; Byrd &amp; Saltzman, 2003) and\/or space (Katsika et al., 2014; Saltzman et al., 2008). After presenting some new data that is problematic for these theories, I\u0092ll revisit the gesture-intrinsic approach to prosody with an alternative proposal for gestural dynamics, developed recently by Michael Stern (Stern &amp; Shaw, 2024).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Speaker: Jason Shaw Title: Lecture #1: Modelling phonetic variation with the neural dynamics of movement preparation Time: Friday, November 13th, 1-2:30pm Location: 32-D461 Abstract: A Dynamic Neural Field (DNF) is a formal object developed within systems neuroscience with the intention of giving a theoretical foundation to the notions of cooperation and competition between neural populations [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-16617","post","type-post","status-publish","format-standard","hentry","category-talks"],"_links":{"self":[{"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/posts\/16617","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/comments?post=16617"}],"version-history":[{"count":2,"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/posts\/16617\/revisions"}],"predecessor-version":[{"id":16719,"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/posts\/16617\/revisions\/16719"}],"wp:attachment":[{"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/media?parent=16617"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/categories?post=16617"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ling-phil.mit.edu\/whamit\/wp-json\/wp\/v2\/tags?post=16617"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}