{"id":1999,"date":"2023-05-08T13:55:16","date_gmt":"2023-05-08T04:48:32","guid":{"rendered":"http:\/\/cogsci.or.kr\/?page_id=1999"},"modified":"2023-08-28T01:16:54","modified_gmt":"2023-08-27T16:16:54","slug":"talk-session","status":"publish","type":"page","link":"https:\/\/cogsci.or.kr\/?page_id=1999","title":{"rendered":"Oral Presentation Session"},"content":{"rendered":"\n<div class=\"dropdown\"  style=\"width: 100%;\">\n  <button class=\"dropbtn\">::: ICCS 2023 Menu :::<\/button>\n  <div class=\"dropdown-content\">\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=129\">ICCS<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1986\">  &#8211; History<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1987\">  &#8211; Committee<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1983\">Program<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1994\">  &#8211; Schedule<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1993\">  &#8211; Keynote speakers<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1998\">  &#8211; Symposia<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1999\">  &#8211; Oral Presentation Session<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=2000\">  &#8211; Poster Session<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1979\">Author Information<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1988\">  &#8211; Symposia &#038; Oral Presentation Session<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1989\">  &#8211; Poster Sessions<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=4898\">Sponsors and Exhibitor<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1984\">Location<\/a>\n    <a href=\"http:\/\/gece.snu.ac.kr\/gecexe\/index.php?mid=AboutGECE_06Location\" target=\"\u201d_blank\u201d\" rel=\"noopener\">  &#8211; Transportation<\/a>\n    <a href=\"http:\/\/gece.snu.ac.kr\/gecexe\/index.php?mid=Facility_01Space\" target=\"\u201d_blank\u201d\" rel=\"noopener\">  &#8211; Venue<\/a>\n    <a href=\"https:\/\/www.hoam.ac.kr\/eng\/\" target=\"\u201d_blank\u201d\" rel=\"noopener\">  &#8211; Accommodation\t<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1985\">Contact Us<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=1701\">Journal<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=2251\">  &#8211; Journal of Cognitive Science<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=2252\">  &#8211; Submission Guidelines<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=2253\">  &#8211; Subscriptions<\/a>\n    <a href=\"https:\/\/cogsci.or.kr\/?page_id=2254\">  &#8211; Contact Us<\/a>\n  <\/div>\n<\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5px\"><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:270px\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"495\" height=\"628\" src=\"https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or01.jpg\" alt=\"\" class=\"wp-image-4596\" srcset=\"https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or01.jpg 495w, https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or01-236x300.jpg 236w, https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or01-374x474.jpg 374w\" sizes=\"auto, (max-width: 495px) 100vw, 495px\" \/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-color has-medium-font-size wp-block-paragraph\" style=\"color:#419775;font-style:normal;font-weight:600\">Bertram F. Malle, Zeynep Aydin<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\">Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, USA<\/p>\n\n\n\n<p class=\"has-text-color has-medium-font-size wp-block-paragraph\" style=\"color:#d6a00de0;font-style:italic;font-weight:600\">Title: Norm Representations are Graded: A Replication in Turkish<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\"><strong>Abstract<\/strong><br>Norms are social forces that influence people\u2019s behavior, and they are cognitively represented so as to enable such social influence. Previous research suggests that norms not only come as classes of prescriptions (should) and prohibitions (must not) but have graded strength\u2014that is, they are ordered from weak to strong. English speakers strongly agree in the graded ordering of norm expressions and appear to distinguish five grades of prescriptions and five grades of prohibitions. The present study replicated these results in Turkish, a language very different from English. Turkish speakers showed as high or higher agreement in the ordering of norm expressions and distinguished five levels of both prescriptions and prohibitions.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5px\"><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide\" style=\"background-color:#eeeeee;color:#eeeeee\"\/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5px\"><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:270px\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"495\" height=\"628\" src=\"https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or02.jpg\" alt=\"\" class=\"wp-image-4598\" srcset=\"https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or02.jpg 495w, https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or02-236x300.jpg 236w, https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or02-374x474.jpg 374w\" sizes=\"auto, (max-width: 495px) 100vw, 495px\" \/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-color has-medium-font-size wp-block-paragraph\" style=\"color:#419775;font-style:normal;font-weight:600\">Koiti Hasida<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\">RIKEN Center for Advanced Intelligence Project, The University of Tokyo, Tokyo, Japan<\/p>\n\n\n\n<p class=\"has-text-color has-medium-font-size wp-block-paragraph\" style=\"color:#d6a00de0;font-style:italic;font-weight:600\">Title: Personal AI and Open Citizen Science<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\"><strong>Abstract<\/strong><br>Centralized AIs (CAIs) based on centralized management of personal data (PD) are threatening human rights and democracy and impairing value creation by PD. Worse still, it is impossible for the humanity to jointly restrict CAIs because they create winners. Personal AIs (PAIs) based on decentralized management of PD (DMPD) can displace CAIs, as they create much larger value than CAIs by fully utilizing your PD to more deeply and carefully intervening in your life. Second, DMPD also enables decentralized governance of PAIs and other services to maximize their added value.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5px\"><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide\" style=\"background-color:#eeeeee;color:#eeeeee\"\/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5px\"><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:270px\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"495\" height=\"628\" src=\"https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or03.jpg\" alt=\"\" class=\"wp-image-4599\" srcset=\"https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or03.jpg 495w, https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or03-236x300.jpg 236w, https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or03-374x474.jpg 374w\" sizes=\"auto, (max-width: 495px) 100vw, 495px\" \/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-color has-medium-font-size wp-block-paragraph\" style=\"color:#419775;font-style:normal;font-weight:600\">Yukyung Kim, Jeongwook Kwon, Je-Hyeop Lee, Je-Choon Park, Sangbin Yun, Jeehye Seo, Byoung-Kyong Min<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\">Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea<\/p>\n\n\n\n<p class=\"has-text-color has-medium-font-size wp-block-paragraph\" style=\"color:#d6a00de0;font-style:italic;font-weight:600\">Title: Out-of-phase transcranial alternating current stimulation between dorsolateral prefrontal and anterior cingulate cortices alters P300 amplitudes during inhibitory-control performance<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\"><strong>Abstract<\/strong><br>Transcranial alternating current stimulation (tACS) is a non-invasive neuromodulation technique that is considered to entrain the brain\u2019s oscillations and affect cognitive functions. In this study, we investigated whether theta-frequency tACS with a phase lag between dorsolateral prefrontal and anterior cingulate cortices altered inhibitory-control performance. Twenty-one healthy participants were instructed to perform a Stroop task before and after tACS treatment. Participants were exposed to tACS for 9 minutes per session: one for the in-phase (0\u00b0 phase lag) condition and the other for the out-of-phase (180\u00b0 phase lag) condition between the left dorsolateral prefrontal cortex (lDLPFC) and the dorsal anterior cingulate cortex (dACC). We analyzed the reaction times and event-related potentials (ERPs) between the in-phase and out-of-phase conditions as compared with the no-tACS condition. In the incongruent condition, the out-of-phase condition yielded significant reduction in response times (in-phase = 664.45 ms, out-of-phase = 639.95 ms; t(20) = 2.14, p &lt; 0.05) and P300 amplitudes (in-phase = 11.29 \u03bcV, out-of-phase = 9.07 \u03bcV; t(20) = 3.42, p &lt; 0.01) compared to the in-phase condition. Particularly for the incongruent trials preceded by congruent trials, the out-of-phase stimulation resulted in significant reduction in both reaction times (in-phase = 674.18 ms, out-of-phase = 641.90 ms; t(20) = 2.23, p &lt; 0.05) and P300 amplitudes (in-phase = 11.62 \u03bcV, out-of-phase = 9.01 \u03bcV; t(20) = 2.29, p &lt; 0.05) compared to the in-phase condition. These findings imply that out-of-phase theta-frequency tACS plays a selectively disinhibitory control role between lDLPFC and dACC depending on the precedent congruency condition, resulting in the enhancement of inhibitory task performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\">Acknowledgement: This work was supported by the Convergent Technology R&amp;D Program for Human Augmentation (grant number 2020M3C1B8081319 to B.-K.M.), which is funded by the Korean government through the National Research Foundation of Korea. The authors declare no competing interests.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5px\"><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide\" style=\"background-color:#eeeeee;color:#eeeeee\"\/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5px\"><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:270px\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"495\" height=\"628\" src=\"https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or04.jpg\" alt=\"\" class=\"wp-image-4748\" srcset=\"https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or04.jpg 495w, https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or04-236x300.jpg 236w, https:\/\/cogsci.or.kr\/wp-content\/uploads\/2023\/07\/or04-374x474.jpg 374w\" sizes=\"auto, (max-width: 495px) 100vw, 495px\" \/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-color has-medium-font-size wp-block-paragraph\" style=\"color:#419775;font-style:normal;font-weight:600\">Dong-Jin Sung, Ji-Hyeok Jeong, Keun-Tae Kim, Hyungmin Kim<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\">Bionics Research Center, Korea Institute of Science &amp; Technology, Seoul, Korea<\/p>\n\n\n\n<p class=\"has-text-color has-medium-font-size wp-block-paragraph\" style=\"color:#d6a00de0;font-style:italic;font-weight:600\">Title: Data selection-based method to improve gait-related multi-session motor imagery brain-computer interface<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:15px\"><strong>Abstract<\/strong><br>Prominent performance in lower limb motor imagery (MI)-based brain-computer interfaces (BCIs) is crucial for their successful application in real-life scenarios. Nonetheless, achieving stable performance across multiple sessions remains a challenge due to the non-stationarity of electroencephalogram (EEG) data. To address this issue, we propose a data selection-based method to mitigate the observed instability in gait-related multi-session MI.<br>In order to evaluate our method, we collected three gait-related classes of MIs (gait, sit-down, rest) from two healthy male participants and two participants with spinal cord injury (SCI). Each session included data acquisition of 30 trials for each class, and a total of 4 sessions were recorded for each participant. A convolutional neural network (CNN)-based model was used to extract features from the individual sessions, which were evaluated using the cosine similarity function with respect to the target session. Based on an empirically defined criterion of a cosine similarity above 0.1, we selected relevant feature data from each session. The selected target-relevant features corresponding to each class from previous sessions were then utilized in the training phase.<br>The proposed method showed an increase in accuracy compared to self-training, which employs only the training data from the target session (Data selection: 70.83% vs Self-training: 65.72%). These findings suggest that incorporating relevant data from past sessions enhances the stability of performance across multiple sessions in MI EEG data.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5px\"><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>::: ICCS 2023 Menu ::: ICCS &#8211; History &#8211; Committee Program &#8211; Schedule &#8211; Keynote speakers &#8211; Symposia &#8211; Oral Presentation Session &#8211; Poster Session&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1999","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cogsci.or.kr\/index.php?rest_route=\/wp\/v2\/pages\/1999","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cogsci.or.kr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cogsci.or.kr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cogsci.or.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cogsci.or.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1999"}],"version-history":[{"count":28,"href":"https:\/\/cogsci.or.kr\/index.php?rest_route=\/wp\/v2\/pages\/1999\/revisions"}],"predecessor-version":[{"id":5564,"href":"https:\/\/cogsci.or.kr\/index.php?rest_route=\/wp\/v2\/pages\/1999\/revisions\/5564"}],"wp:attachment":[{"href":"https:\/\/cogsci.or.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1999"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}