Esther Mondragón

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Eduardo AlonsoProfessor of Artificial Intelligence; City, University of LondonDirección de correo verificada de city.ac.uk
Robin A. MurphyUniversity of OxfordDirección de correo verificada de psy.ox.ac.uk
Geoffrey HallUniversity of YorkDirección de correo verificada de york.ac.uk
c bonardiDirección de correo verificada de psychology.nottingham.ac.uk
Domhnall JenningsQueen's University BelfastDirección de correo verificada de qub.ac.uk
Jonathan GrayFlowminder FoundationDirección de correo verificada de soton.ac.uk
Alberto Fernandez GilUniversidad Rey Juan CarlosDirección de correo verificada de urjc.es
André LuzardoPostdoctoral Researcher, Boston UniversityDirección de correo verificada de bu.edu
Frédéric Vallée-TourangeauProfessor of Psychology, Kingston UniversityDirección de correo verificada de kingston.ac.uk
Ben BrilotHartpury UniversityDirección de correo verificada de hartpury.ac.uk
Michael FairbankUniversity of EssexDirección de correo verificada de essex.ac.uk
Shu K. E. TAMUniversity of OxfordDirección de correo verificada de ndcn.ox.ac.uk
Timothy CheungNew York UniversityDirección de correo verificada de nyulangone.org
Kiran IkramCity, University of LondonDirección de correo verificada de city.ac.uk
Corina Catarau-CotutiuCity, University of LondonDirección de correo verificada de city.ac.uk

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Esther Mondragón

City, University of London -- CitAI -- Centre for Computational and Animal Learning Research

Dirección de correo verificada de city.ac.uk - Página principal

Associative Learning Computational Models Artificial Intelligence Behavioural Neuroscience


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Rule learning by rats RA Murphy, E Mondragón, VA Murphy Science 319 (5871), 1849, 2008	216	2008
Contextual control as occasion setting G Hall, E Mondragón Occasion setting: Associative learning and cognition in animals, 199-222, 1998	149*	1998
A Rescorla-Wagner Drift-Diffusion Model of Conditioning and Timing A Luzardo, E Alonso, E Mondragon PLoS Comput Biol. 13 (11), e1005796, 2017	68	2017
Analysis of the perceptual learning effect in flavour aversion learning: Evidence for stimulus differentiation E Mondragón, G Hall The Quarterly Journal of Experimental Psychology: Section B 55 (2), 153-169, 2002	60	2002
Making the illusory correlation effect appear and then disappear: The effects of increased learning RA Murphy, S Schmeer, F Vallée-Tourangeau, E Mondragón, D Hilton The Quarterly Journal of Experimental Psychology 64 (1), 24-40, 2011	48	2011
A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions E Alonso, E Mondragón, A Fernández Computer Methods and Programs in Biomedicine 108 (1), 346-355, 2012	20	2012
Perceptual learning in an appetitive Pavlovian procedure: Analysis of the effectiveness of the common element E Mondragón, RA Murphy Behavioural Processes 83 (3), 247-256, 2010	20	2010
Associative learning should go deep E Mondragón, E Alonso, N Kokkola Trends in Cognitive Sciences 21 (11), 822-825, 2017	17	2017
The effect of stimulus distribution form on the acquisition and rate of conditioned responding: Implications for theory. DJ Jennings, E Alonso, E Mondragón, M Franssen, C Bonardi Journal of Experimental Psychology: Animal Behavior Processes 39 (3), 233, 2013	17	2013
An extension of the Rescorla and Wagner Simulator for context conditioning E Mondragón, E Alonso, A Fernández, J Gray Computer Methods and Programs in Biomedicine 110 (2), 226-230, 2013	13	2013
SSCC TD: A Serial and Simultaneous Configural-Cue Compound Stimuli Representation for Temporal Difference Learning E Mondragón, J Gray, E Alonso, C Bonardi, DJ Jennings PLoS ONE 9 (7), e102469, 2014	12	2014
Serial order of conditional stimuli as a discriminative cue for Pavlovian conditioning RA Murphy, E Mondragón, VA Murphy, N Fouquet Behavioural processes 67 (2), 303-311, 2004	12	2004
Agency, learning and animal-based reinforcement learning E Alonso, E Mondragon Agents and Computational Autonomy, 309-321, 2004	12	2004
A double error dynamic asymptote model of associative learning. NH Kokkola, E Mondragón, E Alonso Psychological review 126 (4), 506, 2019	10	2019
Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications E Alonso, E Mondragón IGI Global, 2011	10*	2011
Rats do learn XYX rules E Mondragón, RA Murphy, VA Murphy Animal Behaviour 78 (4), e3-e4, 2009	10	2009
A complete serial compound temporal difference simulator for compound stimuli, configural cues and context representation E Mondragón, J Gray, E Alonso Neuroinformatics 11, 259-261, 2013	7	2013
Associative Learning for Reinforcement Learning: where animal learning and machine learning meet E Alonso, E Mondragón Proceedings of the 5th symposium on adaptive agents and multi-agent systems, 2006	7	2006
Overshadowing by fixed-and variable-duration stimuli C Bonardi, E Mondragón, B Brilot, DJ Jennings Quarterly Journal of Experimental Psychology 68 (3), 523-542, 2015	6	2015
Temporal difference simulator© v. 1 [Computer software] J Gray, E Alonso, E Mondragón, A Fernández London, UK: CAL-R, 2012	5	2012

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