Doug Markant (web) successfully defended his dissertation “Into the unknown: How uncertainty guides self-directed exploration and learning. Congrats and we look forward to his continued success in Berlin!- 12.19.2013

Todd will be speaking about self-directed learning at the Learning and the Brain conference in Boston on Saturday, Nov. 16th at 4:30pm.- 11.13.2013

Anna will be giving at talk on causal intervention learning at Psychonomics 2013, Friday, Nov. 15th, Reasoning/Problem solving session (91-95), Civic Ballroom, 1:30pm-145pm. Check it out!- 11.13.2013

Congrats to Doug Markant who has received one of the APA’s dissertation awards.- 11.8.2013

On the identifiability of parameters in reinforcement learning models: a simulation study. - 10.21.2013 (David)

How bad is your experiment computer at measuring reaction time? A simple hack to find out.- 6.27.2013 (Todd)

Interested in online data collection? Help us help you! Fill out quick survey on your needs/interests. Please share!- 3.14.2014 (Todd)

Sunny sunday hack: custom programmable slide decks.- 9.22.2013 (Todd)

Check out this short movie trailer for the "Robots, Brains, and the Human Mind" course at NYU.- 5.23.2013 (Todd)

Richard Feynman on the value of incremental science and the dangers of "Cargo Cult Science" - 3.26.2013 (Todd)

Amazon's Mechanical Turk (AMT) now has a official blog that publishes information relevant to academic researchers (e.g., how to improve data quality). (RT experimentalturk)- 9.5.2012 (Todd)

Software to watch: the Julia Language. A high-level, high-performance dynamic programming language for technical computing. (via Nathaniel Daw)- 7.15.2012 (Todd)

Interview with the lead developer of OpenSesame a graphic Python-based system for designing psychology experiments.- 7.12.2012 (Todd)

Great (older) article in Scientific American on the science of scientific writing.- 3.20.2012 (Todd)

Happening live! 50 blog posts in 50 days on influential learning theorists (from Socrates to Skinner to Bruner to Schank).- 3.18.2012 (Todd)

When does a rational model “fit”?

Rational models of cognition are an important theoretical tool for describing and explaining human learning, judgment, and inference. However, when does one conclude that a rational model provides a good/great/excellent fit to behavior (and therefore that people are "rational")? Read our recent thinking on this.

Live in NYC, go to grad school, & discover awesome stuff with us!

Graduate admissions are right around the corner, and my lab is looking for exceptional candidates interested in computational modeling and higher-level cognition. Read on to learn more about the lab.

Congrats to Doug and Erica!

Doug got married. Some of us grew a mustache to celebrate.

Teaching human psychology using open-source robotics

What can you learn about psychology from a robot? Click here to find out!