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Estimating Working Memory Capacity for Lists of Nonverbal Sounds
ESTIMATING WORKING MEMORY CAPACITY FOR LISTS OF NONVERBAL SOUNDS __________________________________________________________________ A Thesis presented to the Faculty of the Graduate School at the University of Missouri __________________________________________________________________ In Partial Fulfillment of the Requirements for the Degree Master of Arts __________________________________________________________________ by Dawei Li Dr. Nelson Cowan, Thesis Supervisor May 2011 The undersigned, appointed by the dean of the Graduate School, have examined the thesis entitled ESTIMATING WORKING MEMORY CAPACITY FOR LISTS OF NONVERBAL SOUNDS presented by Dawei Li, a candidate for the degree of master of arts, and hereby certify that, in their opinion, it is worthy of acceptance. Professor Nelson Cowan Professor Shawn Christ Professor Judith Goodman ACKNOWLEDGEMENTS I would like to thank my advisor Dr. Nelson Cowan, who has been supporting me on my research ever since the start of my graduate study. I would also like to thank Dr. Scott Saults for his valuable help to create the various auditory stimuli, and to add the detailed information to the method section. Finally, I would like to thank Dr. Shawn Christ and Dr. Judith Goodman for their comments on my draft. ii TABLE OF CONTENTS LIST OF FIGURES ........................................................................................................... iv ABSTRACT .........................................................................................................................v Chapter -
About the Beckman Institute
Annual Report 2010-2011 FBOR eADcVAkNCmED SaCInENCE IAnND sTtEiCHtNuOLtOeGY ABOUT THE BECKMAN INSTITUTE he Beckman Institute for Advanced The Beckman Institute is also home to The 313,000-square-foot building was Science and Technology at the three strategic initiatives that seek to made possible by a generous gift from TUniversity of Illinois at Urbana- unify campus activities in their respective University of Illinois alumnus and founder Champaign is an interdisciplinary areas: of Beckman Instruments, Inc., Arnold research institute devoted to leading- • HABITS O. Beckman, and his wife Mabel M. edge research in the physical sciences, • Imaging Beckman, with a supplement from computation, engineering, biology, • Social Dimensions of Environmental the State of Illinois. behavior, cognition, and neuroscience. Policy The Institute’s primary mission is to foster Additionally, the Arnold and Mabel interdisciplinary work of the highest qual - More than 1,000 researchers from more Beckman Foundation provides ongoing ity, transcending many of the limitations than 40 University of Illinois departments financial assistance for various Institute inherent in traditional university organi - as diverse as psychology, computer and campus programs. Daily operating zations and structures. The Institute was science, electrical and computer engi - expenses of the Institute are covered by founded on the premise that reducing neering, and biochemistry, comprising the state and its research programs are the barriers between traditional scientific 14 Beckman Institute groups, work within mainly supported by external funding and technological disciplines can yield and across these overlapping areas. The from the federal government, corpora - research advances that more conven - building offers more than 200 offices; tions, and foundations. -
Research Awardsby
]\ LL O]\ LM • • • • • • • • • t r o p Beckman Institute e R FOR ADVANCED SCIENCE AND TECHNOLOGY l a • • • • • • • • • u n n A Beckman Institute • • • • • • • • • • he Beckman Institute for Advanced Science and Director’s Message from Art Kramer 2 TTechnology at the University of Illinois at Urbana- s Champaign is an interdisciplinary research institute devoted RESEARCH THEMES to leading-edge research in the physical sciences, computation, t Biological Intelligence engineering, biology, behavior, cognition, and neuroscience. Highlights 4 The Institute’s primary mission is to foster interdisciplinary Faculty Profile: Jennifer Cole 8 work of the highest quality, transcending many of the n limitations inherent in traditional university organizations Human-Computer Intelligent Interaction and structures. The Institute was founded on the premise e Highlights 10 that reducing the barriers between traditional scientific and Faculty Profile: Mark Hasegawa-Johnson 14 technological disciplines can yield research advances that t more conventional approaches cannot. Integrative Imaging Highlights 16 Beckman Institute research is focused around four research n Faculty Profile: Brad Sutton 20 themes: • Biological Intelligence (page 4) Molecular and Electronic Nanostructures o • Human-Computer Intelligent Interaction (page 10) Highlights 22 • Integrative Imaging (page 16) Faculty Profile: Scott White 28 • Molecular and Electronic Nanostructures (page 22) C Selected Faculty Awards, Invention Disclosures, 30 The Beckman Institute is also home to three -
Benchmarks for Models of Short-Term and Working Memory
Psychological Bulletin © 2018 American Psychological Association 2018, Vol. 144, No. 9, 885–958 0033-2909/18/$12.00 http://dx.doi.org/10.1037/bul0000153 Benchmarks for Models of Short-Term and Working Memory Klaus Oberauer Stephan Lewandowsky University of Zurich University of Bristol and University of Western Australia Edward Awh Gordon D. A. Brown University of Chicago University of Warwick Andrew Conway Nelson Cowan Claremont Graduate University University of Missouri Christopher Donkin Simon Farrell University of New South Wales University of Western Australia Graham J. Hitch Mark J. Hurlstone University of York University of Western Australia Wei Ji Ma Candice C. Morey New York University Cardiff University Derek Evan Nee Judith Schweppe Florida State University University of Erfurt Evie Vergauwe Geoff Ward University of Geneva University of Essex Any mature field of research in psychology—such as short-term/working memory—is characterized by a wealth of empirical findings. It is currently unrealistic to expect a theory to explain them all; theorists must satisfice with explaining a subset of findings. The aim of the present article is to make the choice of that subset less arbitrary and idiosyncratic than is current practice. We propose criteria for identifying benchmark findings that every theory in a field should be able to explain: Benchmarks should be reproducible, generalize across materials and methodological variations, and be theoretically informative. We propose a set of benchmarks for theories and computational models of short-term and working memory. The benchmarks are described in as theory-neutral a way as possible, so that they can serve as empirical common ground for competing theoretical approaches. -
9-11Th July 2014
INTERNATIONAL CONFERENCE ON WORKING MEMORY th 9-11 July 2014 PROGRAMME Presentations, posters, lunches: University Arms Hotel, Regent Street, Cambridge, CB2 1AD Evening reception (9th July): MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge, CB2 7EF Conference Dinner (10th July, pre-booked places only): Trinity Hall, Trinity Lane, Cambridge, CB2 1TJ ICWM2014 DRAFT PROGRAMME Page 1 Wednesday 9th July – Afternoon and reception 12pm Registration at the University Arms Hotel 12-2pm Poster session I and Lunch, Mezzanine Presentations, Session I, Main room: 2.00pm Susan Gathercole (Cognition and Brain Sciences Unit) Introduction to ICWM 2.05pm Alan Baddeley (University of York) Working memory at 40 2.50pm Pierre Barrouillet (University of Geneva) Loss of information from working memory 3.10pm Valerie Camos (University of Fribourg) The mechanisms of reconstruction in working memory 3.30pm Andrew Conway (Princeton University) Process Overlap Theory: A new interpretation of working memory capacity 3.50pm Refreshments 4.20pm Michael Kane (University of North Carolina at Greensboro) Convergent and discriminant validity of working memory capacity (or, how null results can be the theorist’s friend 4.40pm Klaus Oberauer (University of Zurich) Removal of distractors in complex working memory span tasks 5.00pm John Towse (Lancaster University) The development of working memory capacity: exactly which problems are we trying to solve? 5.20pm Nelson Cowan (University of Missouri) Working memory for the amount of change in an array 6-8pm -
RUTH V. AGUILERA Darla and Frederick Brodsky Trustee
Aguilera June 2020 RUTH V. AGUILERA Darla and Frederick Brodsky Trustee Professor in Global Business Distinguished Professor, International Business and Strategy Department D'Amore-McKim School of Business, Northeastern University 360 Huntington Avenue, Boston, MA 02115-5000 -- [email protected] Visiting Scholar, ESADE Business School, Universitat Ramon Llull, Barcelona, Catalonia, Spain. EXPERTISE Research: International Corporate Governance; Corporate Social Responsibility; Global Strategy; Teaching: Corporate Governance; Global Strategy; Economic Sociology; Comparative Capitalism PAST ACADEMIC POSITIONS Visiting Full Professor, Department of Strategy and Policy, and Research Affiliate, Centre for Governance, Institutions & Organisations (CGIO), Business School, National University of Singapore (Fall 2014-Spring 2015). Associate Professor (with tenure) to Full Professor, Department of Business Administration, College of Business, University of Illinois at Urbana-Champaign (August 2006- June 2014). Faculty Fellow, Center for Professional Responsibility in Business and Society, College of Business, University of Illinois at Urbana-Champaign (2007-June 2014) Associate Professor (courtesy appointment), College of Law, School of Labor and Employment Relations, & Department of Sociology, University of Illinois at Urbana-Champaign (August 2006- June 2014). Assistant Professor, Department of Business Administration, College of Business, and Institute of Labor and Industrial Relations, University of Illinois at Urbana-Champaign (1999-2006). -
Annual Report
Annual Report BECKMAN INSTITUTE FOR ADVANCED SCIENCE AND TECHNOLOGY 2 0 0 0 UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN BIHighlights in 2000 ❏ How do you isolate, characterize, and manipu- TABLE OF CONTENTS late molecules in amounts so small that Mother Nature created special containers inside single cells 2000 MESSAGE FROM THE DIRECTOR just to transport them? In 2000, Beckman Institute Jiri Jonas, Director pages 2–4 faculty members Paul Bohn, Mark Shannon, and MOLECULAR AND ELECTRONIC NANOSTRUCTURES Jonathan Sweedler initiated a new collaborative pro- Overview pages 6–7 ject funded through the Defense Advanced Research Projects Agency to design a new Karl Hess and Jeffrey S. Moore, Co-chairs category of measurement device, the Biofluidic Intelligent Processor. This device will Highlights pages 8–12 allow the active manipulation, detection, and characterization of biological fluids with BIOLOGICAL INTELLIGENCE volumes more than a million times smaller than a single drop of blood. At the heart of Overview pages 14–15 the Biofluidic Intelligent Processor are molecular gates with active areas not much Gary S. Dell and William T. Greenough, Co-chairs larger than transistors in microprocessors. The molecular gates can intelligently sepa- Highlights pages 16–20 rate specific components, passing the rest, concentrating them in attoliter volumes, HUMAN-COMPUTER INTELLIGENT INTERACTION then digitally tagging them for detection. As digitizing electronics has permitted com- Overview pages 22–23 Thomas S. Huang and Arthur F. Kramer, Co-chairs plex operations to be processed, digitizing molecular fluid flow can potentially solve the Highlights pages 24–28 daunting challenges posed by trace levels of extraordinarily lethal toxins. -
Srinivas Akella
Srinivas Akella Department of Computer Science University of North Carolina at Charlotte Tel: (704) 687-8573 9201 University City Boulevard Email: [email protected] Charlotte, NC 28223 http://webpages.uncc.edu/sakella Citizenship: USA RESEARCH INTERESTS: Robotics and automation; Manipulation and motion planning; Multiple robot coordination; Digital microfluidics and biotechnology; Manufacturing and assembly automation; Bioinformatics and protein folding; Data analytics. EDUCATION: 1996 CARNEGIE MELLON UNIVERSITY, Pittsburgh, PA. Ph.D. in Robotics, School of Computer Science. Thesis: Robotic Manipulation for Parts Transfer and Orienting: Mechanics, Planning, and Shape Uncertainty. Advisor: Prof. Matthew T. Mason. 1993 M.S. in Robotics, School of Computer Science. 1989 INDIAN INSTITUTE OF TECHNOLOGY, MADRAS, India. B.Tech. in Mechanical Engineering. EXPERIENCE: 2009-present UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE, Charlotte, NC. Professor, Department of Computer Science (2015-present). Associate Professor, Department of Computer Science (2009-2015). 2000-2008 RENSSELAER POLYTECHNIC INSTITUTE, Troy, NY. Assistant Professor, Department of Computer Science. Senior Research Scientist, Department of Computer Science, and Center for Automation Technologies & Systems. 1996-1999 UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, Urbana, IL. Beckman Fellow, Beckman Institute for Advanced Science and Technology. 1989-1996 CARNEGIE MELLON UNIVERSITY, Pittsburgh, PA. Research Assistant, The Robotics Institute. Summer 1992 ELECTROTECHNICAL LABORATORY, MITI, Tsukuba, Japan. Summer Intern, Intelligent Systems Division. AWARDS: 2018 CCI Excellence in Graduate Teaching Award, College of Computing and Informatics, UNC Charlotte. 2007 Advisor, Best Student Paper Awardee, Robotics Science and Systems Conference. 2005 Rensselaer Faculty Early Research Career Honoree, RPI. 2001 NSF CAREER Award, National Science Foundation. 1999 Finalist, Best Paper Award, IEEE International Conference on Robotics and Automation. -
Walter Schneider Address: LRDC RM 629, 3939 O’Hara St., Pittsburgh PA 15260 Phone: (412) 624-7061 EMAIL: [email protected] Date: December 9, 2003
VITA Name: Walter Schneider Address: LRDC RM 629, 3939 O’Hara St., Pittsburgh PA 15260 Phone: (412) 624-7061 EMAIL: [email protected] Date: December 9, 2003 Date of Birth: February 9, 1950 Marital Status: Married Educational History: B.A., Psychology (with honors), University of Illinois, 1971 Ph.D., Psychology, Indiana University, 1975 Post-Doc., Neurophysiology, University of California, Berkeley, CA, 1975-77 Title of Thesis: Selective attention, memory scanning, and visual search: Three components of one process Supervisor: Richard M. Shiffrin Professional History: 1971-1975 Research Assistant, Indiana University 1975-1977 Miller Research Fellow, Miller Institute for Basic Research in Science, University of California, Berkeley 1977-1983 Assistant Professor, University of Illinois 1983-1985 Associate Professor, University of Illinois 1985-1988 Associate Professor, Department of Psychology & Senior Scientist, Learning Research and Development Center, University of Pittsburgh 1988- Professor, Department of Psychology, University of Pittsburgh 1995-2004 Co-Director, Education Program, Center for the Neural Basis of Cognition (CNBC) 2002-2004 Program Chair, Cognitive Program, University of Pittsburgh Honors: Phi Beta Kappa Two Psychological Review papers have been awarded the status of "Science Citation Classics" (Schneider & Shiffrin, 1977; Shiffrin & Schneider, 1977) President of Society for Computers in Psychology, 1986 Member of National Academy of Science Study Panel, 1985-1988 EDUCOM/NCRIPTAL Higher Education Software Award winner of -
\Input Vanilla
1 Michael Lynch Center for Mechanisms of Evolution, Biodesign Institute Arizona State University Tempe, AZ 85287 Phone: 480-965-0868 Email: [email protected] Birth: 6 December 1951, Auburn, New York Undergraduate education: St. Bonaventure University, Biology - B.S., 1973. Graduate education: University of Minnesota, Ecology and Behavioral Biology - Ph.D., 1977 (advisor: J. Shapiro). Areas of Interest and Research: The integration of molecular and cellular biology, genetics, and evolution; population and quantitative genetics; molecular, genomic, and phenotypic evolution. Select Professional Activities and Service: Director, Biodesign Center for Mechanisms of Evolution, Arizona State University, 2017 – present. Professor, School of Life Sciences, Arizona State University, 2017 – present. Class of 1954 Professor, 2011 – 2017. Distinguished Professor, Indiana University, 2005 – 2017. Professor; Biology, Indiana University, 2001 – 2004. Adjunct Professor, Computer Science, Indiana University, 2014 – 2017. Adjunct Professor, Physics, Indiana University, 2015 – 2017. Professor; Biology, University of Oregon, 1989 – 2001. Director, Ecology and Evolution Program, Univ. of Oregon, 1989 – 1993, 1996 – 2000. Asst., Assoc., Full Professor; Ecology, Ethology, and Evolution; University of Illinois, 1977 – 1989. Co-director, NSF IGERT Training Grant in Evolution, Development, and Genomics, 1999 – 2004. Director, NSF Genetic Mechanisms of Evolution Training Grant, 1990 – 2000. President, Genetics Society of America, 2013. President, Society for Molecular Biology and Evolution, 2009. President, American Genetic Association, 2007. President, Society for the Study of Evolution, 2000. Chair-elect, Section on Biological Sciences American Association for the Advancement of Science, 2017-2020. Vice-president, Genetics Society of America, 2012. Vice-president, Society for the Study of Evolution, 1994. Council Member, Society for the Study of Evolution, 1991 – 1993. -
Ilya Kapovich I. Personal History and Professional Experience
CURRICULIM VITAE: Ilya Kapovich April 14, 2019 Department of Mathematics and Statistics Hunter College of CUNY Room 919/944 East 695 Park Ave New York, NY 10065, U.S.A e-mail [email protected] tel. 212-772-5303 http://math.hunter.cuny.edu/ilyakapo/ I. Personal History and Professional Experience Citizenship: U.S.A. (since 2009) A. Educational Background • B.Sc. in Mathematics (with honors), Novosibirsk State University (Russia), June 1992 • Ph.D. in Mathematics, City University of New York Graduate Center, June 1996 B. List of Academic Positions since Final Degree • Hill Assistant Professor, Rutgers University, New Brunswick, New Jersey, 1996-97 • Lady Davis Post-Doctoral Fellow, Hebrew University, Jerusalem, Israel, 1997-1998 • Hill Assistant Professor, Rutgers University, New Brunswick, New Jersey, 1998-2000 • Assistant Professor, Department of Mathematics, University of Illinois at Urbana-Champaign, 2000-2006 • Associate Professor, Department of Mathematics, University of Illinois at Urbana-Champaign, 2006-2012 • Professor, Department of Mathematics, University of Illinois at Urbana-Champaign, 2012{ August 2018 • Professor, Department of Mathematics and Statistics, Hunter College of CUNY, August 2018 { present 1 C. Other Professional Employment • Administrator of the MAGNUS electronic archive in Geometric Group Theory, City College of CUNY, 1994-96 • Visiting Scholar, Australian Special Year in Geometric Group Theory, January-February 1996 • Teaching an experimental Rutgers Calculus course at Highland Park High School, Highland -
Precision and Capacity Development In
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Missouri: MOspace PRECISION AND CAPACITY DEVELOPMENT IN AUDITORY WORKING MEMORY _______________________________________ A Thesis presented to the Faculty of the Graduate School at the University of Missouri-Columbia _______________________________________________________ In Partial Fulfillment of the Requirements for the Degree Master of Arts _____________________________________________________ by KATHERINE MICHELLE CLARK Dr. Todd Schachtman and Dr. Nelson Cowan, Thesis Supervisors DECEMBER 2014 The undersigned, appointed by the dean of the Graduate School, have examined the thesis entitled PRECISION AND CAPACITY DEVELOPMENT IN AUDITORY WORKING MEMORY presented by Katherine Michelle Clark, a candidate for the degree of Master of Arts and hereby certify that, in their opinion, it is worthy of acceptance. Professor Todd Schachtman Professor Nelson Cowan Professor Jeff Rouder Professor Mary Fagan ACKNOWLEDGEMENTS I would like to thank my advisors, Todd Schachtman and Nelson Cowan, for their support of this project. Without their guidance, challenges, and dedication, none of this would have been possible. I would also like to thank Kyle Hardman, without whom the modelling of the data would have taken significantly longer. His patience and guidance were instrumental in the formation of this thesis. I would like to thank Scott Saults for his programming expertise and enthusiasm for this project. Additionally, I would like to thank Bret Glass, who was in charge of the majority of scheduling for both child and adult participants; he was integral to the running of this study and I am extremely grateful. Thanks also go to my thesis committee members, Jeff Rouder and Mary Fagan, for agreeing to be a part of this process.