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Rubi Hammer
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Cited by
Year
The development of category learning strategies: What makes the difference?
R Hammer, G Diesendruck, D Weinshall, S Hochstein
Cognition 112 (1), 105-119, 2009
1112009
Mapping the similarity space of children and adults’ artifact categories
G Diesendruck, R Hammer, O Catz
Cognitive Development 18 (2), 217-231, 2003
562003
Comparison processes in category learning: from theory to behavior
R Hammer, A Bar-Hillel, T Hertz, D Weinshall, S Hochstein
Brain Research 1225, 102-118, 2008
522008
The role of dimensional distinctiveness in children's and adults' artifact categorization
R Hammer, G Diesendruck
Psychological Science 16 (2), 137-144, 2005
392005
Functional neuroimaging of visuospatial working memory tasks enables accurate detection of attention deficit and hyperactivity disorder
R Hammer, GE Cooke, MA Stein, JR Booth
NeuroImage: Clinical 9, 244-252, 2015
282015
Differential category learning processes: the neural basis of comparison-based learning and induction
R Hammer, A Brechmann, F Ohl, D Weinshall, S Hochstein
Neuroimage 52 (2), 699-709, 2010
242010
Category learning from equivalence constraints
R Hammer, T Hertz, S Hochstein, D Weinshall
Cognitive Processing 10 (3), 211-232, 2009
232009
Feedback associated with expectation for larger-reward improves visuospatial working memory performances in children with ADHD
R Hammer, M Tennekoon, GE Cooke, J Gayda, MA Stein, JR Booth
Developmental Cognitive Neuroscience 14, 38-49, 2015
222015
Feature saliency and feedback information interactively impact visual category learning
R Hammer, V Sloutsky, K Grill-Spector
Frontiers in Psychology 6 (74), 2015
192015
Individual Differences in Analogical Reasoning Revealed by Multivariate Task-Based Functional Brain Imaging
R Hammer, EJ Paul, CH Hillman, AF Kramer, NJ Cohen, AK Barbey
NeuroImage, 2019
182019
Impact of Feature Saliency on Visual Category Learning
R Hammer
Frontiers in Psychology 6 (451), 2015
182015
The Interplay between Feature-Saliency and Feedback Information in Visual Category Learning Tasks
R Hammer, V Sloutsky, K Grill-Spector
102012
Classification with positive and negative equivalence constraints: theory, computation and human experiments
R Hammer, T Hertz, S Hochstein, D Weinshall
International Symposium on Brain, Vision, and Artificial Intelligence, 264-276, 2007
102007
Category learning from equivalence constraints
R Hammer, T Hertz, S Hochstein, D Weinshall
XXVII Conference of Cognitive Science Society (CogSci2005), 2005
82005
Advances in Brain, Vision, and Artificial Intelligence: Second International Symposium, BVAI 2007, Naples, Italy, October 10-12, 2007, Proceedings
F Mele, G Ramella, S Santillo, F Ventriglia
Springer, 2007
7*2007
A neuroimaging dataset on working memory and reward processing in children with and without ADHD
M Lytle, R Hammer, J Booth
Data in Brief 105801, 2020
62020
PATTERN ANALYSIS BASED ON fMRI DATA COLLECTED WHILE SUBJECTS PERFORM WORKING MEMORY TASKS ALLOWING HIGH-PRECISION DIAGNOSIS OF ADHD
R Hammer, JR Booth, R Borhani, AK Katsaggelos
US Patent App. 15/317,724, 2014
5*2014
Visual category learning results in rapid changes in brain activation reflecting sensitivity to the category relation between perceived objects and to decision correctness
R Hammer, V Sloutsky
Journal of cognitive neuroscience 28 (11), 1804-1819, 2016
32016
Risk Assessment Under Perceptual Ambiguity and its Impact on Category Learning
R Hammer, M Cerf
PsyArXiv, 2019
2019
Developmental changes between childhood and adulthood in passive observational and interactive feedback‐based categorization rule learning
R Hammer, J Kloet, JR Booth
Developmental Science, 2016
2016
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Articles 1–20