Memory Lab














Current Research

Our research seeks to understand basic processes in recognition memory and reasoning, using methods rooted in signal detection theory and neuroscience (EEG). We view computational models as essential tools for interpreting data.


Lab Members

Principal Investigator

  Caren Rotello


Lab Manager

Colin Quirk.  He's now off to graduate school at the University of Chicago -- good luck!

Current Students 

If you are interested in joining us, please email me (caren at I am seeking a new graduate student.

Tina Chen joined the lab in the Fall of 2011.  She's working on her dissertation, on individual differences in response bias.

Current RAs:



Alumni and past lab members:

Neil Macmillan now plays his violin on the coast of Maine. You can reach him at neil dot alex dot macmillan at gmail dot com. 

Angela Pazzaglia, Ph.D., is now Senior Economist at Bates White Economic Consulting.





Chad Dube, Ph.D., is now an Assistant Professor at University of South Florida.

  Aycan Kapucu, Ph.D., is now an Assistant Professor at Ege University (Turkey).

Mungchen (Will) Wong, Ph.D., is now Associate Director of Data Analytics at WebMD.

Min Zeng, MS, now a manager at Nielson.

 Davide Bruno, Ph.D., now a Lecturer at Liverpool John Moores University.

Ruthanna Gordon, Ph.D., now an Associate at Booz Allen Hamilton.

   John Reeder, Ph.D., now Associate Professor and Department Chair at Simmons College

Michael Verde, Ph.D., now Lecturer at University of Plymouth



Current publications are listed on my People page.


ROC Stats

Sampling distributions of ROC statistics (Macmillan, Rotello, & Miller, 2004, Perception & Psychophysics)

Single-point sensitivity estimates (d', A', H-F, percent correct, etc):

statistical properties: standard errors and bias in the estimate(Verde, Macmillan, & Rotello, 2006, Perception & Psychophysics)

problems comparing the estimates over conditions that differ in response bias (Rotello, Masson, & Verde, 2008, Perception & Psychophysics)

How to fit a confidence-based ROC with SDT (spreadsheet described by Pazzaglia, Dube, & Rotello, 2013): Download the .zip file to the right.  It contains an Excel sheet with complete instructions.

Source ROC fits (Hautus, Macmillan, & Rotello, 2008, Psychonomic Bulletin & Review)

Gaussian Distributions, Type I error

Gaussian, Power

Rectangular distribution, power

Rectangular distributions, Type I error


Supporting documents for Dube, Rotello, and Heit (2011, Psychological Review)