Andy J. Wills - RankMe

23 papers B 17Journal 6

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Reward Count(s): Negative Recency in Probabilistic Experience-Based Learning. CogSci René Schlegelmilch, Andy J. Wills, Bettina von Helversen
2023	B	`conf`	A Comparison of Human and Machine Performance in Object Recognition Using The ObjectNet Image Set. CogSci Gokcek Kul, Andy J. Wills
2023	B	`conf`	Errorless irrationality: removing error-driven components from the inverse base-rate effect paradigm. CogSci Lenard Dome, Andy J. Wills
2021	B	`conf`	SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task. CogSci Lenard Dome, Charlotte Edmunds, Andy J. Wills
2018	B	`conf`	CALM - A Process Model of Category Generalization, Abstraction and Structuring. CogSci René Schlegelmilch, Andy J. Wills, Bettina von Helversen
2018	J	`jnl`	Model-free and model-based reward prediction errors in EEG. NeuroImage Thomas D. Sambrook, Ben Hardwick, Andy J. Wills, Jeremy Goslin
2017	B	`conf`	Due process in dual process: A model-recovery analysis of Smith et al. (2014). CogSci Charlotte Edmunds, Andy J. Wills, Fraser Milton
2017	J	`jnl`	The Neural Correlates of Similarity- and Rule-based Generalization. J. Cogn. Neurosci. Fraser Milton, Pippa Bealing, Kathryn L. Carpenter, Abdelmalek Bennattayallah, Andy J. Wills
2016	B	`conf`	Memory for exemplars in category learning. CogSci Charlotte Edmunds, Andy J. Wills, Fraser Milton
2016	B	`conf`	Modeling category learning using a dual-system approach: A simulation of Shepard, Hovalnd and Jenkins (1961) by COVIS. CogSci Charlotte Edmunds, Andy J. Wills
2015	J	`jnl`	State-Trace Analysis: Dissociable Processes in a Connectionist Network? Cogn. Sci. Fayme Yeates, Andy J. Wills, Fergal W. Jones, Ian P. L. McLaren
2014	J	`jnl`	Attention, predictive learning, and the inverse base-rate effect: Evidence from event-related potentials. NeuroImage Andy J. Wills, Aureliu Lavric, Yvonne Hemmings, Ed Surrey
2014	B	`conf`	Does incidental training increase the prevalence of overall similarity classification? A re-examination of kemler Nelson (1984). CogSci Angus Inkster, Fraser Milton, Andy J. Wills
2014	B	`conf`	Machine learning of visual object categorization: an application of the SUSTAIN model. CogSci Giovanni Sirio Carmantini, Angelo Cangelosi, Andy J. Wills
2014	B	`conf`	The effect of pre-exposure on family resemblance categorization for stimuli of varying levels of perceptual difficulty. CogSci Fraser Milton, Edward Copestake, David Satherley, Tobias Stevens, Andy J. Wills
2013	B	`conf`	Implicit learning: A demonstration and a revision to a novel SRT paradigm. CogSci Fayme Yeates, Fergal W. Jones, Andy J. Wills, M. R. F. Aitken, Ian P. L. McLaren
2013	B	`conf`	Impulsivity and Overall Similarity Classification. CogSci Andy J. Wills, Chris Longmore, Fraser Milton
2012	B	`conf`	Implicit Learning: A Demonstration and a Novel SRT Paradigm. CogSci Fayme Yeates, Fergal W. Jones, Andy J. Wills, Mike Aitken, Ian P. L. McLaren
2012	B	`conf`	State-Trace Analysis of Sequence Learning by Simple Recurrent Networks. CogSci Fayme Yeates, Fergal W. Jones, Andy J. Wills, Ian P. L. McLaren
2011	B	`conf`	The effect of time pressure and the spatial integration of the stimulus dimensions on overall similarity categorization. CogSci Fraser Milton, Lotta Viika, Holly Henderson, Andy J. Wills
2011	B	`conf`	Working Memory Capacity and Generalization in Predictive Learning. CogSci Andy J. Wills, Thomas Barrasin, Ian P. L. McLaren
2009	J	`jnl`	The neural basis of overall similarity and single-dimension sorting. NeuroImage Fraser Milton, Andy J. Wills, Timothy L. Hodgson
2007	J	`jnl`	Predictive Learning, Prediction Errors, and Attention: Evidence from Event-related Potentials and Eye Tracking. J. Cogn. Neurosci. Andy J. Wills, Aureliu Lavric, G. S. Croft, Timothy L. Hodgson