Change Detection: Attention, Memory and Decision
This blog is about my research and what I am interested in. I will keep updating new information. Hope all of you enjoy it.
Labels
2009/08/18
American Journal Experts
I want to share the website with all of you! It is about the American Journal Experts whcih can help me correct the English writing. I use American Journal Expert's (AJE's) English language editing service for my research papers. I am satisfied with the quality of their paper editing and would like to inform my colleagues about this proofreading service.
2009/06/10
2009/05/03
椰林步道的檀板輕歌 ----楊政達博士學成感恩崑劇聯演
http://www.arte.gov.tw/pro1_perf_now.asp?KeyID=1044
聯演 5月9日晚間
椰林步道的檀板輕歌 ----楊政達博士學成感恩崑劇聯演
時間:2009/5/9(六)18:30開演(18:00自由入場)
地點:國立台灣藝術教育館南海劇場(台北市南海路47號,建國中學對面)
劇目:
《牡丹亭.驚夢》 杜麗娘/簡思寧 柳夢梅/游俊菖 春香/李孟穎 花神/陳幼馨 王芊懿
《白蛇傳.斷橋》 許仙/楊政達 白素貞/魏薇 青兒/廖宜寧
《紅梨記.亭會》 謝素秋/林宜貞 趙汝舟/鄭傑文
《玉簪記.秋江》 潘必正/楊政達 陳妙常/楊式玗 姑母/張嘉琦 進安/李蕙如 艄翁/黃耀廷 艄婆/林晏甄
聯演 5月9日晚間
椰林步道的檀板輕歌 ----楊政達博士學成感恩崑劇聯演
時間:2009/5/9(六)18:30開演(18:00自由入場)
地點:國立台灣藝術教育館南海劇場(台北市南海路47號,建國中學對面)
劇目:
《牡丹亭.驚夢》 杜麗娘/簡思寧 柳夢梅/游俊菖 春香/李孟穎 花神/陳幼馨 王芊懿
《白蛇傳.斷橋》 許仙/楊政達 白素貞/魏薇 青兒/廖宜寧
《紅梨記.亭會》 謝素秋/林宜貞 趙汝舟/鄭傑文
《玉簪記.秋江》 潘必正/楊政達 陳妙常/楊式玗 姑母/張嘉琦 進安/李蕙如 艄翁/黃耀廷 艄婆/林晏甄
2009/03/21
The influence of similarity on visual working memory representations
http://www.informaworld.com/smpp/content~content=a791471042~db=all?jumptype=alert&alerttype=new_issue_alert,email
Abstract
In verbal memory, similarity between items in memory often leads to interference and impaired memory performance. The present study sought to determine whether analogous interference effects would be observed in visual working memory by varying the similarity of the to-be-remembered objects in a colour change detection task. Instead of leading to interference and impaired performance, increased similarity among the items being held in memory led to improved performance. Moreover, when two similar colours were presented along with one dissimilar colour, memory performance was better for the similar colours than for the dissimilar colour. Similarity produced better performance even when the objects were presented sequentially and even when memory for the first item in the sequence was tested. These findings show that similarity does not lead to interference between representations in visual working memory. Instead, similarity may lead to improved task performance, possibly due to increased stability or precision of the memory representations during maintenance.
Note: similarity can increase stability or precision of the memory representations during maintenance
Abstract
In verbal memory, similarity between items in memory often leads to interference and impaired memory performance. The present study sought to determine whether analogous interference effects would be observed in visual working memory by varying the similarity of the to-be-remembered objects in a colour change detection task. Instead of leading to interference and impaired performance, increased similarity among the items being held in memory led to improved performance. Moreover, when two similar colours were presented along with one dissimilar colour, memory performance was better for the similar colours than for the dissimilar colour. Similarity produced better performance even when the objects were presented sequentially and even when memory for the first item in the sequence was tested. These findings show that similarity does not lead to interference between representations in visual working memory. Instead, similarity may lead to improved task performance, possibly due to increased stability or precision of the memory representations during maintenance.
Note: similarity can increase stability or precision of the memory representations during maintenance
2009/02/20
用endnote 寫論文
再用X2版的時候
APA5 th的格式會顯示錯誤
需要下載新的output filter
以下網頁有提供一些資訊
並且教大家如何用endnote寫論文
http://writingwithendnote.blogspot.com/2008/03/endnote-x1-apa-5thoutput-style.html
APA5 th的格式會顯示錯誤
需要下載新的output filter
以下網頁有提供一些資訊
並且教大家如何用endnote寫論文
http://writingwithendnote.blogspot.com/2008/03/endnote-x1-apa-5thoutput-style.html
2009/01/19
How to use Winbugs and related issues
WinBUGS軟體安裝提示
作者:林永雋
日期:2009-01-19~20
<目的>
數學模型中除了自變量、依變量,就是參數了。原則上,不論自變量或參數,可以是固定效果(fixed effect)也可以是隨機效果(random effect)。雖然大一統計課所教的線性回歸有討論自變量是固定效果與是隨機效果的這兩種情形,但是都是把模型參數視為固定效果。假如要考慮某參數是隨機效果, 亦即視該參數為隨機變數,則推估出的參數會是一個機率分配,而不是一個固定的數值。既然要去推論出一個機率分配,則統計的方法也會較複雜一些,幸好我們可以應用貝式定理的觀念—將經驗法則換算成理性的預測—有效率地推論機率分配,而WinBUGS就是一個基於貝氏定理作模型參數推估的應用軟體,該軟體實作了以貝氏定理為基礎原理的演算法。
<電腦環境>
Windows
<教程>
目標一:用WinBUGS來實作Bayesian modeling
1.Install WinBUGS
1-1.Install WinBUGS 1.4
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/WinBUGS14.exe
下載並安裝好WinBUGS14.exe
1-2.Patch WinBUGS (1.4->1.43)
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/patches.shtml
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/WinBUGS14_cumulative_patch_No3_06_08_07_RELEASE.txt
下載WinBUGS14_cumulative_patch_No3_06_08_07_RELEASE.txt
用WinBUGS將下載回來的檔案開啟成Text,然後遵循裡面的指示進行安裝
1-3.Register WinBUGS 1.4x
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/WinBUGS14_immortality_key.txt
下載WinBUGS14_immortality_key.txt
用WinBUGS將下載回來的檔案開啟成Text,然後遵循裡面的指示進行安裝
目標二:匯入外來的模型或是自訂額外的模型
2.Install WBDev into WinBUGS
WinBUGS本身似乎不能自訂模型,WBDev應該是開發模型給WinBUGS用的套件
http://www.winbugs-development.org.uk/download_wbdev.html
下載並安裝好wbdev.exe
安裝的效果是Program Files/WinBUGS14/中會多出wbdev_01_09_04.txt
用WinBUGS將Program Files/WinBUGS14/wbdev_01_09_04.txt開啟成Text,然後遵循裡面的指示進行安裝
3.Install BlackBox 1.5 (not 1.6 !)
BlackBox應該是發展出WinBUGS的基礎
http://www.oberon.ch/blackbox.html
下載並安裝SetupBlackBox15.exe
4.匯入外來模型
索取wiener.odc與wienereta.odc這兩個檔案
為了能運用wiener.odc與wienereta.odc這兩個diffusion模型,必須在安裝WBDev與Blackbox之後,
將C:\Program Files\WinBUGS14中所有的檔案拷貝到C:\Program Files\BlackBox Component Builder 1.5,全部取代
並將將wiener.odc與wienereta.odc拷貝到C:\Program Files\BlackBox Component Builder 1.5\WBDev\Mod,並用BlackBox分別開啟這兩個檔案按Ctrl+K組譯,
這麼做會使得C:\Program Files\BlackBox Component Builder 1.5\WBDev\Code與C:\Program Files\BlackBox Component Builder 1.5\WBDev\Sym產生新的檔案
接著將C:\Program Files\BlackBox Component Builder 1.5\WBDev\Rsrc\Distributions.odc用BlackBox開啟,修改成:
s ~ "dnorm.trunc0"(s, s)I(s, s) "WBDevUnivariateTemplate.Install"
s ~ "dwiener"(s, s, s, s)I(s, s) "WBDevWiener.Install"
s ~ "dwiener.eta"(s, s, s, s, s)I(s, s) "WBDevWienerEta.Install"
END
最後把整個C:\Program Files\BlackBox Component Builder 1.5\WBDev資料夾內的檔案覆蓋回C:\Program Files\WinBUGS14\WBDev即可
目標三:如果能用R操作WinBUGS會更便利
5.Install R 2.81
http://cran.csie.ntu.edu.tw/
下載並安裝R-2.8.1-win32.exe
6.Run WinBUGS from R
http://www.stat.columbia.edu/~gelman/bugsR/
6-1.Just once in R
install.packages("arm")
install.packages("BRugs")
install.packages("Matrix")
install.packages("lme4")
6-2.Each time in R
library("arm")
每次從R呼叫WinBUGS之前,只輸入這個就會自動引用其他三個安裝好的套件
<參考文件>
AppendixBWinbugs.pdf
manual14.pdf WinBUGS User Manual by Spiegelhalter, D. et. al
作者:林永雋
日期:2009-01-19~20
<目的>
數學模型中除了自變量、依變量,就是參數了。原則上,不論自變量或參數,可以是固定效果(fixed effect)也可以是隨機效果(random effect)。雖然大一統計課所教的線性回歸有討論自變量是固定效果與是隨機效果的這兩種情形,但是都是把模型參數視為固定效果。假如要考慮某參數是隨機效果, 亦即視該參數為隨機變數,則推估出的參數會是一個機率分配,而不是一個固定的數值。既然要去推論出一個機率分配,則統計的方法也會較複雜一些,幸好我們可以應用貝式定理的觀念—將經驗法則換算成理性的預測—有效率地推論機率分配,而WinBUGS就是一個基於貝氏定理作模型參數推估的應用軟體,該軟體實作了以貝氏定理為基礎原理的演算法。
<電腦環境>
Windows
<教程>
目標一:用WinBUGS來實作Bayesian modeling
1.Install WinBUGS
1-1.Install WinBUGS 1.4
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/WinBUGS14.exe
下載並安裝好WinBUGS14.exe
1-2.Patch WinBUGS (1.4->1.43)
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/patches.shtml
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/WinBUGS14_cumulative_patch_No3_06_08_07_RELEASE.txt
下載WinBUGS14_cumulative_patch_No3_06_08_07_RELEASE.txt
用WinBUGS將下載回來的檔案開啟成Text,然後遵循裡面的指示進行安裝
1-3.Register WinBUGS 1.4x
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/WinBUGS14_immortality_key.txt
下載WinBUGS14_immortality_key.txt
用WinBUGS將下載回來的檔案開啟成Text,然後遵循裡面的指示進行安裝
目標二:匯入外來的模型或是自訂額外的模型
2.Install WBDev into WinBUGS
WinBUGS本身似乎不能自訂模型,WBDev應該是開發模型給WinBUGS用的套件
http://www.winbugs-development.org.uk/download_wbdev.html
下載並安裝好wbdev.exe
安裝的效果是Program Files/WinBUGS14/中會多出wbdev_01_09_04.txt
用WinBUGS將Program Files/WinBUGS14/wbdev_01_09_04.txt開啟成Text,然後遵循裡面的指示進行安裝
3.Install BlackBox 1.5 (not 1.6 !)
BlackBox應該是發展出WinBUGS的基礎
http://www.oberon.ch/blackbox.html
下載並安裝SetupBlackBox15.exe
4.匯入外來模型
索取wiener.odc與wienereta.odc這兩個檔案
為了能運用wiener.odc與wienereta.odc這兩個diffusion模型,必須在安裝WBDev與Blackbox之後,
將C:\Program Files\WinBUGS14中所有的檔案拷貝到C:\Program Files\BlackBox Component Builder 1.5,全部取代
並將將wiener.odc與wienereta.odc拷貝到C:\Program Files\BlackBox Component Builder 1.5\WBDev\Mod,並用BlackBox分別開啟這兩個檔案按Ctrl+K組譯,
這麼做會使得C:\Program Files\BlackBox Component Builder 1.5\WBDev\Code與C:\Program Files\BlackBox Component Builder 1.5\WBDev\Sym產生新的檔案
接著將C:\Program Files\BlackBox Component Builder 1.5\WBDev\Rsrc\Distributions.odc用BlackBox開啟,修改成:
s ~ "dnorm.trunc0"(s, s)I(s, s) "WBDevUnivariateTemplate.Install"
s ~ "dwiener"(s, s, s, s)I(s, s) "WBDevWiener.Install"
s ~ "dwiener.eta"(s, s, s, s, s)I(s, s) "WBDevWienerEta.Install"
END
最後把整個C:\Program Files\BlackBox Component Builder 1.5\WBDev資料夾內的檔案覆蓋回C:\Program Files\WinBUGS14\WBDev即可
目標三:如果能用R操作WinBUGS會更便利
5.Install R 2.81
http://cran.csie.ntu.edu.tw/
下載並安裝R-2.8.1-win32.exe
6.Run WinBUGS from R
http://www.stat.columbia.edu/~gelman/bugsR/
6-1.Just once in R
install.packages("arm")
install.packages("BRugs")
install.packages("Matrix")
install.packages("lme4")
6-2.Each time in R
library("arm")
每次從R呼叫WinBUGS之前,只輸入這個就會自動引用其他三個安裝好的套件
<參考文件>
AppendixBWinbugs.pdf
manual14.pdf WinBUGS User Manual by Spiegelhalter, D. et. al
2008/11/25
眼界其關 (Exhibition of Human Eyes)
Exhibition of Human Eyes. The exhibition was funded by Department of Science Education, National Science Council and was held during July 23rd – August 18th, 2008. Collaboration with National Taiwan University of Science and Technology. See the website http://web.ntust.edu.tw/~myang/2008eye/
這次的展覽,人類視覺的部分,由我與陳彥合,以及我2008年3月到6月的大學部小朋友(孫小涵、李紹銘、邱佩甄、吳覆濃、潘奕瑄、廖敏捷、廖蕙如)共同製作,針對改變盲現象作一系列的有趣示範,裡面共有三段有趣的影片,以及許多改變偵測的DEMO。
這次的展覽,人類視覺的部分,由我與陳彥合,以及我2008年3月到6月的大學部小朋友(孫小涵、李紹銘、邱佩甄、吳覆濃、潘奕瑄、廖敏捷、廖蕙如)共同製作,針對改變盲現象作一系列的有趣示範,裡面共有三段有趣的影片,以及許多改變偵測的DEMO。
訂閱:
文章 (Atom)
About Me
- Yang Cheng-Ta (楊政達)
- I am Yang Cheng-Ta. I am a assistant professor at the department of psychology and institute of cognitive science, National Cheng Kung University (NCKU). I graduated from National Taiwan University (NTU). My supervisors were Prof. Yeh Yei-Yu and Prof. Hsu Yung-Fong. My major is cognitive psychology and mathematical psychology. My research interests are human attention and memory. My research topic is about why people cannot detect a change in the visual environment which is so-called “change Blindness”. I investigate the mechanism underlying change detection and how people make a correct detection decision. I am also interested in the mathematical modeling of human behavior. Besides, I like to play volleyball, go to gym, and swim when I am free. I also like to listen to the Chinese opera and still keep learning it. These are brief descriptions about me. If you are interested in me or share interests with me, contact with me at yangct@mail.ncku.edu.tw.
My Web
Personal Information
Conference
- 2010.3.7.-3.12. annual meeting of visual science society ()2009.12.1.截止)
- 台灣心理學會第48屆年會,9.26.-9.27.台大開會。投稿時間即將於7月31日截止。
- The 50th Annual Meeting of psychonomic society at Boston 2009.11.19.-11.22. (6月1日前截止投稿)
- 2009.6.24.-6.25. workshop of attention and perception (5.27.前截止投稿)
- 2009.8.1.-8.4. conference of Math Psych (4.31.截止)
- Annual meeting of visual science society May 8-13, 2009 (12.2.截止投稿)
- 第47屆台灣心理學年會 師大 (7.31截止)
- 13th workshop of attention and perception(嘉義中正大學)
- OPAM November, 13th, 2008, Chicago, Illinois ( 7月1日截止)
- 49th ANNUAL MEETING OF THE PSYCHONOMIC SOCIETY, Chicago Hilton Hotel, Chicago, Illinois, Thursday, November 13 – Sunday, November 16, 2008 (6月2日截止)
- NathPsych (四月一日截止)
- 華人心理學會註冊
- 2008.6.11-14 第六屆華人心理學家學術研討會 (一月底截止)
Shared Resources
- 用endnote寫論文
- working memory guides attention的討論文章
- E-Prime範例八:reaction time and accuracy
- E-Prime 範例七:feature integration theory
- E-Prime範例六:staircase 直接用程式顯現螢幕顏色
- signal detetcion theory
- OL釘書機
- E-Prime範例五:改變偵測(隨機指定位置與顏色)
- E-Prime範例四:stair case(二下一上)
- E-Prime範例三:false memory
- 神奇撲克牌變色魔術
- E-Prime範例二:primary memory
- E-Prime範例一:depth of processing
- Youtube 整理change blindness的範例
- E-Prime User's Guide
- E-Prime Introduction
- E-Prime data analysis
- E-Prime 中文使用說明 (「林思宏」改版,第一版由「黃卓寧」(2005.9.)撰寫)
Useful Links
- slideshare
- Associations for Psychological Science
- Visual Science Society
- 行政院國科會
- Psychonomic Society
- American Psychological Association
- Society for Mathmatical Psychology
- Yahoo MathPsych student
- National Taiwan University
- Department of Psychology, National Taiwan University
- ScienceDirect
- Taylor & Francis
- IngentaConnect
Online Resources
- Lee's homepage introduciton to matbugs
- hint of writing winbugs
- Matbugs: use matlab to interface with winbugs
- how to use winbugs and related issues (by 林永雋)
- Bayes data analysis
- 2008 科學季 眼界奇觀 (我與大學部小朋友共同製作)
- Hierarchical Signal Detection Model (Jeff's lab)
- labmeeting
- American Journal Experts
- ERRNET
- A theory of visaul attention
- STATSOFT
- E-Prime
- E-prime tutorial
- R
- Pubmed
- MatLab Codes
- Google Scholar
- Semantic association calculation
- Neuroimaging Resource
- Association Norm