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Vlad Ayzenberg
Vlad Ayzenberg
Postdoctoral fellow, University of Pennsylvania
Verified email at sas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
Skeletal descriptions of shape provide unique perceptual information for object recognition
V Ayzenberg, SF Lourenco
Scientific Reports 9 (1), 1-13, 2019
692019
A general magnitude system in human adults: Evidence from a subliminal priming paradigm
SF Lourenco, V Ayzenberg, J Lyu
Cortex 81, 93-103, 2016
642016
Does the brain's ventral visual pathway compute object shape?
V Ayzenberg, M Behrmann
Trends in Cognitive Sciences 26 (12), 1119-1132, 2022
452022
Skeletal representations of shape in human vision: Evidence for a pruned medial axis model
V Ayzenberg, Y Chen, SR Yousif, SF Lourenco
Journal of Vision, 2019
382019
The dorsal visual pathway represents object-centered spatial relations for object recognition
V Ayzenberg, M Behrmann
Journal of Neuroscience, 2022
312022
Pupillometry reveals the physiological underpinnings of the aversion to holes
V Ayzenberg, MR Hickey, SF Lourenco
PeerJ 6, e4185, 2018
252018
Perception of an objectís global shape is best described by a model of skeletal structure in human infants
V Ayzenberg, S Lourenco
elife 11, e74943, 2022
24*2022
Skeletal representations of shape in the human visual cortex
V Ayzenberg, FS Kamps, DD Dilks, SF Lourenco
Neuropsychologia 164, 108092, 2022
24*2022
Gamble on gaze: Eye movements reflect the numerical value of blackjack hands
KJ Holmes, V Ayzenberg, SF Lourenco
Psychonomic Bulletin & Review 23, 1974-1981, 2016
172016
Probing the mental number line: A between-task analysis of spatial-numerical associations.
CN Cheung, V Ayzenberg, RFL Diamond, S Yousif, SF Lourenco
CogSci, 2015
102015
Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition
V Ayzenberg, C Simmons, M Behrmann
Cerebral Cortex Communications, 2022.09. 17.508376, 2022
92022
Reply to Goodale & Milner: The where, what, and how of object recognition
V Ayzenberg, M Behrmann
Trends in Cognitive Sciences, 2023
72023
Young children outperform feed-forward and recurrent neural networks on challenging object recognition tasks
V Ayzenberg, S Lourenco
Journal of Vision 20 (11), 310-310, 2020
72020
Differential functional reorganization of ventral and dorsal visual pathways following childhood hemispherectomy
V Ayzenberg, MC Granovetter, S Robert, C Patterson, M Behrmann
Developmental Cognitive Neuroscience 64, 101323, 2023
52023
Evolutionary-based threat modulates perception of looming visual stimuli in human infants
V Ayzenberg, M Longo, S Lourenco
Journal of Vision 15 (12), 797-797, 2015
52015
Development of visual object recognition
V Ayzenberg, M Behrmann
Nature Reviews Psychology 3 (2), 73-90, 2024
4*2024
The relations among navigation, object analysis, and magnitude perception in children: Evidence for a network of Euclidean geometry
V Ayzenberg, SF Lourenco
Cognitive Development 56, 100951, 2020
42020
Commentary: Right idea, wrong magnitude system
S Lourenco, L Aulet, V Ayzenberg, CN Cheung, K Holmes
Behavioral and Brain Sciences 40, 2017
42017
Object geometry serves humansí intuitive physics of stability
Y Liu, V Ayzenberg, SF Lourenco
Scientific Reports 14 (1), 1701, 2024
12024
Using deep neural networks to address the how of object recognition
V Ayzenberg, N Blauch, M Behrmann
PsyArXiv, 2023
12023
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