| Determining the neural substrates of goal-directed learning in the human brain VV Valentin, A Dickinson, JP O'Doherty Journal of Neuroscience 27 (15), 4019-4026, 2007 | 671 | 2007 |
| Prolonged seizures increase proliferating neuroblasts in the adult rat subventricular zone–olfactory bulb pathway JM Parent, VV Valentin, DH Lowenstein Journal of Neuroscience 22 (8), 3174-3188, 2002 | 424 | 2002 |
| The effects of positive affect and arousal on working memory and executive attention: Neurobiology and computational models FG Ashby, VV Valentin, AU Turken Emotional cognition: From brain to behaviour, 245-287, 2008 | 303 | 2008 |
| Multiple systems of perceptual category learning: Theory and cognitive tests FG Ashby, VV Valentin Handbook of categorization in cognitive science, 157-188, 2017 | 241 | 2017 |
| FROST: A distributed neurocomputational model of working memory maintenance FG Ashby, SW Ell, VV Valentin, MB Casale Journal of cognitive neuroscience 17 (11), 1728-1743, 2005 | 170 | 2005 |
| Overlapping prediction errors in dorsal striatum during instrumental learning with juice and money reward in the human brain VV Valentin, JP O'Doherty Journal of neurophysiology 102 (6), 3384-3391, 2009 | 151 | 2009 |
| The neural correlates of grammatical gender decisions in Spanish AE Hernandez, SA Kotz, J Hofmann, VV Valentin, M Dapretto, ... Neuroreport 15 (5), 863-866, 2004 | 88 | 2004 |
| The categorization experiment: Experimental design and data analysis FG Ashby, VV Valentin Stevens’ handbook of experimental psychology and cognitive neuroscience …, 2018 | 38 | 2018 |
| Neural networks underlying the metacognitive uncertainty response EJ Paul, JD Smith, VV Valentin, BO Turner, AK Barbey, FG Ashby Cortex 71, 306-322, 2015 | 33 | 2015 |
| Differential effects of dopamine-directed treatments on cognition FG Ashby, VV Valentin, SS von Meer Neuropsychiatric disease and treatment, 1859-1875, 2015 | 32 | 2015 |
| Handbook of categorization in cognitive science FG Ashby, VV Valentin, H Cohen, C Lefebvre | 31 | 2017 |
| Emotional cognition: From brain to behaviour FG Ashby, VV Valentin, AU Turken John Benjamins Publishing Company, Amsterdam, chapter The effects of …, 2002 | 25 | 2002 |
| A computational model of the temporal dynamics of plasticity in procedural learning: Sensitivity to feedback timing VV Valentin, WT Maddox, FG Ashby Frontiers in Psychology 5, 643, 2014 | 18 | 2014 |
| Computational cognitive neuroscience: Building and testing biologically plausible computational models of neuroscience, neuroimaging, and behavioral data FG Ashby, VV Valentin Statistical and process models for cognitive neuroscience and aging, 15-58, 2007 | 17 | 2007 |
| Dopamine dependence in aggregate feedback learning: A computational cognitive neuroscience approach VV Valentin, WT Maddox, FG Ashby Brain and cognition 109, 1-18, 2016 | 10 | 2016 |
| Modulation of dopamine for adaptive learning: A neurocomputational model JB Inglis, VV Valentin, FG Ashby Computational brain & behavior 4, 34-52, 2021 | 5 | 2021 |
| Biologically plausible models of rule-based and implicit categorization FG Ashby, SW Ell, MB Casale, VV Valentin, E Waterhouse Journal of Cognitive Neuroscience. D 77, 2002 | 2 | 2002 |
| Category learning in Huntington's disease G Ashby, V Valentin, S Johnson, J Stout Journal of Cognitive Neuroscience, 237-237, 2005 | 1 | 2005 |
| Foundations for a neurobiologically plausible model of decision making VV Valentin University of California, Santa Barbara, 2005 | 1 | 2005 |
| wººd wº c08. tex V1-01/02/2018 6: 39 AM Page 307 FG ASHBY, VV VALENTIN Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience …, 2018 | | 2018 |
