Andy J. Wills

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 10

Top Topics

Visual Object Categorization

Grassmann Manifold

Top Venues

J. Cogn. Neurosci.

Publications

Lenard Dome, Andy J. Wills
Errorless irrationality: removing error-driven components from the inverse base-rate effect paradigm. CogSci (2023)
Gokcek Kul, Andy J. Wills
A Comparison of Human and Machine Performance in Object Recognition Using The ObjectNet Image Set. CogSci (2023)
Lenard Dome, Charlotte Edmunds, Andy J. Wills
SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task. CogSci (2021)
Rene Schlegelmilch, Andy J. Wills, Bettina von Helversen
CALM - A Process Model of Category Generalization, Abstraction and Structuring. CogSci (2018)
Thomas D. Sambrook, Ben Hardwick, Andy J. Wills, Jeremy Goslin
Model-free and model-based reward prediction errors in EEG. NeuroImage 178 (2018)
Fraser Milton, Pippa Bealing, Kathryn L. Carpenter, Abdelmalek Bennattayallah, Andy J. Wills
The Neural Correlates of Similarity- and Rule-based Generalization. J. Cogn. Neurosci. 29 (1) (2017)
Charlotte Edmunds, Andy J. Wills, Fraser Milton
Due process in dual process: A model-recovery analysis of Smith et al. (2014). CogSci (2017)
Charlotte Edmunds, Andy J. Wills, Fraser Milton
Memory for exemplars in category learning. CogSci (2016)
Charlotte Edmunds, Andy J. Wills
Modeling category learning using a dual-system approach: A simulation of Shepard, Hovalnd and Jenkins (1961) by COVIS. CogSci (2016)
Fayme Yeates, Andy J. Wills, Fergal W. Jones, Ian P. L. McLaren
State-Trace Analysis: Dissociable Processes in a Connectionist Network? Cogn. Sci. 39 (5) (2015)
Andy J. Wills, Aureliu Lavric, Yvonne Hemmings, Ed Surrey
Attention, predictive learning, and the inverse base-rate effect: Evidence from event-related potentials. NeuroImage 87 (2014)
Giovanni Sirio Carmantini, Angelo Cangelosi, Andy J. Wills
Machine learning of visual object categorization: an application of the SUSTAIN model. CogSci (2014)
Angus Inkster, Fraser Milton, Andy J. Wills
Does incidental training increase the prevalence of overall similarity classification? A re-examination of kemler Nelson (1984). CogSci (2014)
Fraser Milton, Edward Copestake, David Satherley, Tobias Stevens, Andy J. Wills
The effect of pre-exposure on family resemblance categorization for stimuli of varying levels of perceptual difficulty. CogSci (2014)
Andy J. Wills, Chris Longmore, Fraser Milton
Impulsivity and Overall Similarity Classification. CogSci (2013)
Fayme Yeates, Fergal W. Jones, Andy J. Wills, M. R. F. Aitken, Ian P. L. McLaren
Implicit learning: A demonstration and a revision to a novel SRT paradigm. CogSci (2013)
Fayme Yeates, Fergal W. Jones, Andy J. Wills, Ian P. L. McLaren
State-Trace Analysis of Sequence Learning by Simple Recurrent Networks. CogSci (2012)
Fayme Yeates, Fergal W. Jones, Andy J. Wills, Mike Aitken, Ian P. L. McLaren
Implicit Learning: A Demonstration and a Novel SRT Paradigm. CogSci (2012)
Andy J. Wills, Thomas Barrasin, Ian P. L. McLaren
Working Memory Capacity and Generalization in Predictive Learning. CogSci (2011)
Fraser Milton, Lotta Viika, Holly Henderson, Andy J. Wills
The effect of time pressure and the spatial integration of the stimulus dimensions on overall similarity categorization. CogSci (2011)
Fraser Milton, Andy J. Wills, Timothy L. Hodgson
The neural basis of overall similarity and single-dimension sorting. NeuroImage 46 (1) (2009)
Andy J. Wills, Aureliu Lavric, G. S. Croft, Timothy L. Hodgson
Predictive Learning, Prediction Errors, and Attention: Evidence from Event-related Potentials and Eye Tracking. J. Cogn. Neurosci. 19 (5) (2007)