PROBabilities from EXemplars (PROBEX): a "lazy" algorithm for probabilistic inference from generic knowledge. - Peter Juslin; Magnus Persson 002 (Cogn. Sci., 2002)

Is it Possible to Train the Approximate Number System? - Marcus Lindskog; Anders Winman; Peter Juslin (CogSci, 2012)

Is Feedforward Learning more Efficient than Feedback Learning in Smart Meters of Electricity Consumption? - Mona Guath; Peter Juslin; Philip Millroth (CogSci, 2013)

Is it Time Bayes went Fishing? Bayesian Probabilistic Reasoning in a Category Learning Task. - Marcus Lindskog; Anders Winman; Peter Juslin (CogSci, 2013)

Effects of Response and Presentation Format on Measures of Approximate Number System Acuity. - Marcus Lindskog; Anders Winman; Peter Juslin (CogSci, 2013)

Do We Recommend Lower Electricity Consumption after Priming with Pro-social and Intrinsic Values? - Mona Guath; Peter Juslin (CogSci, 2014)

On the Detection of "Alternative Facts" in Environmental Messages: The Effects of a Sequential versus a Simultaneous Presentation Format. - Mona Guath; Peter Juslin (CogSci, 2017)

Unpacking cognitive processes in additive and non-additive multiple-cue tasks. - August Collsiöö; Peter Juslin; Ebba Elwin; Anders Winman (CogSci, 2020)