Підписатись
Gennady Erlikhman
Gennady Erlikhman
Підтверджена електронна адреса в ucla.edu - Домашня сторінка
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Посилання
Посилання
Рік
Deep convolutional networks do not classify based on global object shape
N Baker, H Lu, G Erlikhman, PJ Kellman
PLoS computational biology 14 (12), e1006613, 2018
4142018
Local features and global shape information in object classification by deep convolutional neural networks
N Baker, H Lu, G Erlikhman, PJ Kellman
Vision research 172, 46-61, 2020
872020
Semantic cuing and the scale insensitivity of recency and contiguity.
SM Polyn, G Erlikhman, MJ Kahana
Journal of Experimental Psychology: Learning, Memory, and Cognition 37 (3), 766, 2011
692011
Forensic comparison and matching of fingerprints: using quantitative image measures for estimating error rates through understanding and predicting difficulty
PJ Kellman, JL Mnookin, G Erlikhman, P Garrigan, T Ghose, E Mettler, ...
PloS one 9 (5), e94617, 2014
662014
Automatic feature-based grouping during multiple object tracking.
G Erlikhman, BP Keane, E Mettler, TS Horowitz, PJ Kellman
Journal of Experimental Psychology: Human Perception and Performance 39 (6 …, 2013
512013
Decoding information about dynamically occluded objects in visual cortex
G Erlikhman, GP Caplovitz
NeuroImage 146, 778-788, 2017
382017
Towards a unified perspective of object shape and motion processing in human dorsal cortex
G Erlikhman, GP Caplovitz, G Gurariy, J Medina, JC Snow
Consciousness and Cognition 64, 106-120, 2018
352018
Deep convolutional networks do not perceive illusory contours
N Baker, G Erlikhman, P Kellman, H Lu
Proceedings of the Annual Meeting of the Cognitive Science Society 40, 2018
282018
Multiple forms of contour grouping deficits in schizophrenia: what is the role of spatial frequency?
BP Keane, G Erlikhman, S Kastner, D Paterno, SM Silverstein
Neuropsychologia 65, 221-233, 2014
252014
The neural representation of objects formed through the spatiotemporal integration of visual transients
G Erlikhman, G Gurariy, REB Mruczek, GP Caplovitz
NeuroImage 142, 67-78, 2016
232016
Challenges in understanding visual shape perception and representation: Bridging subsymbolic and symbolic coding
PJ Kellman, P Garrigan, G Erlikhman
Shape perception in human and computer vision: An interdisciplinary …, 2013
162013
On the legibility of mirror-reflected and rotated text
G Erlikhman, L Strother, I Barzakov, GP Caplovitz
Symmetry 9 (3), 28, 2017
152017
Error rates for latent fingerprinting as a function of visual complexity and cognitive difficulty
J Mnookin, PJ Kellman, I Dror, G Erlikhman, P Garrigan, T Ghose, ...
Report. NIJ Award, 2009
152009
Modeling spatiotemporal boundary formation
G Erlikhman, PJ Kellman
Vision research 126, 131-142, 2016
122016
Object-based attention generalizes to multisurface objects
G Erlikhman, T Lytchenko, NH Heller, MR Maechler, GP Caplovitz
Attention, Perception, & Psychophysics 82, 1599-1612, 2020
82020
From flashes to edges to objects: recovery of local edge fragments initiates spatiotemporal boundary formation
G Erlikhman, PJ Kellman
Frontiers in Psychology 7, 910, 2016
82016
Interactions of flicker and motion
G Erlikhman, S Gutentag, CD Blair, GP Caplovitz
Vision research 155, 24-34, 2019
72019
The maintenance and updating of representations of no longer visible objects and their parts
JD McCarthy, G Erlikhman, GP Caplovitz
Progress in brain research 236, 163-192, 2017
72017
Linguistic empathy: Behavioral measures, neurophysiological correlates, and correlation with psychological empathy
T Kann, S Berman, MS Cohen, E Goldknopf, M Gülser, G Erlikhman, ...
Neuropsychologia 191, 108650, 2023
62023
Classification images reveal that deep learning networks fail to perceive illusory contours
P Kellman, N Baker, G Erlikhman, H Lu
Journal of vision 17 (10), 569-569, 2017
62017
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