Predictive Learning, Prediction Errors, and Attention: Evidence from Event-related Potentials and Eye Tracking. - Andy J. Wills; Aureliu Lavric; G. S. Croft; Timothy L. Hodgson (J. Cogn. Neurosci., 2007)

The neural basis of overall similarity and single-dimension sorting. - Fraser Milton; Andy J. Wills; Timothy L. Hodgson (NeuroImage, 2009)

The effect of time pressure and the spatial integration of the stimulus dimensions on overall similarity categorization. - Fraser Milton; Lotta Viika; Holly Henderson; Andy J. Wills (CogSci, 2011)

Working Memory Capacity and Generalization in Predictive Learning. - Andy J. Wills; Thomas Barrasin; Ian P. L. McLaren (CogSci, 2011)

Implicit Learning: A Demonstration and a Novel SRT Paradigm. - Fayme Yeates; Fergal W. Jones; Andy J. Wills; Mike Aitken; Ian P. L. McLaren (CogSci, 2012)

State-Trace Analysis of Sequence Learning by Simple Recurrent Networks. - Fayme Yeates; Fergal W. Jones; Andy J. Wills; Ian P. L. McLaren (CogSci, 2012)

Impulsivity and Overall Similarity Classification. - Andy J. Wills; Chris Longmore; Fraser Milton (CogSci, 2013)

Implicit learning: A demonstration and a revision to a novel SRT paradigm. - Fayme Yeates; Fergal W. Jones; Andy J. Wills; M. R. F. Aitken; Ian P. L. McLaren (CogSci, 2013)

Machine learning of visual object categorization: an application of the SUSTAIN model. - Giovanni Sirio Carmantini; Angelo Cangelosi; Andy J. Wills (CogSci, 2014)

Does incidental training increase the prevalence of overall similarity classification? A re-examination of kemler Nelson (1984). - Angus Inkster; Fraser Milton; Andy J. Wills (CogSci, 2014)

The effect of pre-exposure on family resemblance categorization for stimuli of varying levels of perceptual difficulty. - Fraser Milton; Edward Copestake; David Satherley; Tobias Stevens; Andy J. Wills (CogSci, 2014)

Attention, predictive learning, and the inverse base-rate effect: Evidence from event-related potentials. - Andy J. Wills; Aureliu Lavric; Yvonne Hemmings; Ed Surrey (NeuroImage, 2014)

State-Trace Analysis: Dissociable Processes in a Connectionist Network? - Fayme Yeates; Andy J. Wills; Fergal W. Jones; Ian P. L. McLaren (Cogn. Sci., 2015)

Modeling category learning using a dual-system approach: A simulation of Shepard, Hovalnd and Jenkins (1961) by COVIS. - Charlotte Edmunds; Andy J. Wills (CogSci, 2016)

Memory for exemplars in category learning. - Charlotte Edmunds; Andy J. Wills; Fraser Milton (CogSci, 2016)

Due process in dual process: A model-recovery analysis of Smith et al. (2014). - Charlotte Edmunds; Andy J. Wills; Fraser Milton (CogSci, 2017)

The Neural Correlates of Similarity- and Rule-based Generalization. - Fraser Milton; Pippa Bealing; Kathryn L. Carpenter; Abdelmalek Bennattayallah; Andy J. Wills (J. Cogn. Neurosci., 2017)

CALM - A Process Model of Category Generalization, Abstraction and Structuring. - Rene Schlegelmilch; Andy J. Wills; Bettina von Helversen (CogSci, 2018)

Model-free and model-based reward prediction errors in EEG. - Thomas D. Sambrook; Ben Hardwick; Andy J. Wills; Jeremy Goslin (NeuroImage, 2018)

SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task. - Lenard Dome; Charlotte Edmunds; Andy J. Wills (CogSci, 2021)

Errorless irrationality: removing error-driven components from the inverse base-rate effect paradigm. - Lenard Dome; Andy J. Wills (CogSci, 2023)

A Comparison of Human and Machine Performance in Object Recognition Using The ObjectNet Image Set. - Gokcek Kul; Andy J. Wills (CogSci, 2023)