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ORCIDAndy J. Wills
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2020 – today
- 2023
[c16]Lenard Dome, Andy J. Wills:
Errorless irrationality: removing error-driven components from the inverse base-rate effect paradigm. CogSci 2023- [c15]Gokcek Kul, Andy J. Wills:
A Comparison of Human and Machine Performance in Object Recognition Using The ObjectNet Image Set. CogSci 2023 - 2021
- [c14]Lenard Dome
, Charlotte Edmunds, Andy J. Wills:
SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task. CogSci 2021
2010 – 2019
- 2018
- [j6]Thomas D. Sambrook, Ben Hardwick, Andy J. Wills, Jeremy Goslin:
Model-free and model-based reward prediction errors in EEG. NeuroImage 178: 162-171 (2018) - [c13]Rene Schlegelmilch, Andy J. Wills, Bettina von Helversen:
CALM - A Process Model of Category Generalization, Abstraction and Structuring. CogSci 2018 - 2017
- [j5]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): 150-166 (2017) - [c12]Charlotte Edmunds, Andy J. Wills, Fraser Milton:
Due process in dual process: A model-recovery analysis of Smith et al. (2014). CogSci 2017 - 2016
- [c11]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 - [c10]Charlotte Edmunds, Andy J. Wills, Fraser Milton:
Memory for exemplars in category learning. CogSci 2016 - 2015
- [j4]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): 1047-1061 (2015) - 2014
- [j3]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: 61-71 (2014) - [c9]Giovanni Sirio Carmantini, Angelo Cangelosi, Andy J. Wills:
Machine learning of visual object categorization: an application of the SUSTAIN model. CogSci 2014 - [c8]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 - [c7]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 - 2013
- [c6]Andy J. Wills, Chris Longmore, Fraser Milton:
Impulsivity and Overall Similarity Classification. CogSci 2013 - [c5]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 - 2012
- [c4]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 - [c3]Fayme Yeates, Fergal W. Jones, Andy J. Wills, Ian P. L. McLaren:
State-Trace Analysis of Sequence Learning by Simple Recurrent Networks. CogSci 2012 - 2011
- [c2]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 - [c1]Andy J. Wills, Thomas Barrasin, Ian P. L. McLaren:
Working Memory Capacity and Generalization in Predictive Learning. CogSci 2011
2000 – 2009
- 2009
- [j2]Fraser Milton, Andy J. Wills, Timothy L. Hodgson:
The neural basis of overall similarity and single-dimension sorting. NeuroImage 46(1): 319-326 (2009) - 2007
- [j1]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): 843-854 (2007)
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