Publications

Ogmen H., Shibata K., and Yazdanbakhsh A. (2020). Perception, Cognition, and Action in Hyperspaces: Implications on Brain Plasticity, Learning, and Cognition. Front. Psychol. 10:3000. doi: 10.3389/fpsyg.2019.03000

Yazdanbakhsh A., Mingolla E. (2019) Figure-Ground Segregation, Computational Neural Models of. In: Jaeger D., Jung R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY

Cao B., Mingolla E., Yazdanbakhsh A. (2015). Tuning properties of MT and MSTd and divisive interactions for eye-movement compensation, PLOS ONE, 10(11): e0142964. doi:10.1371/journal. pone.0142964

Qian J. and Yazdanbakhsh A. (2015). A neural model of distance-dependent percept of object size constancy. PLOS ONE, 10(7): e0129377. doi: 10.1371/journal.pone.0129377

Layton OW., and Yazdanbakhsh A. (2015). A neural model of border-ownership from kinetic occlusion, Vision Research, 106: 64-80 

Layton OW., Mingolla E., and Yazdanbakhsh A. (2014). Dynamics of multi-scale shape integration and detection in the primate ventral stream, Frontiers in Psychology, 5 (972): 1-20

Sherbakov LO., and Yazdanbakhsh A. (2013). Multiscale sampling model for motion integration, Journal of Vision, 13(11):18, 1–14

Wurbs J., Mingolla E., and Yazdanbakhsh A. (2013). Modeling a space-variant cortical representation for apparent motion, Journal of Vision, 13(10): 2, 1–17

Cao B., Mingolla, E., and Yazdanbakhsh A. (2012). A computational study of brightness-related responses in visual cortex, Journal of Vision, 13(1): 8, 1–15

Layton OW., Mingolla, E., and Yazdanbakhsh A. (2012). Dynamic coding of border-ownership in visual cortex, Journal of Vision, 12(13):8, 1–21

Yazdanbakhsh A. and Gori S. (2011). Mathematical analysis of the Accordion Grating illusion: A differential geometry approach to introduce the 3D aperture problem, Neural Networks, 24(2011): 1093-1101 

Grossberg S., Srinivasan K., and Yazdanbakhsh A. (2011). On the road to invariant object recognition: How cortical area V2 transforms absolute to relative disparity during 3D vision, Neural Networks, 24(7): 686-92

Grossberg S., Yazdanbakhsh A., Cao Y., and Swaminathan G. (2008). How does binocular rivalry emerge from cortical mechanisms of 3-D vision? Vision Research, 48: 2232–2250

Yazdanbakhsh, A. and S. Grossberg, (2005) Laminar cortical dynamics of binocular rivalry. Journal of Vision, 5(8): p.1046

Yazdanbakhsh, A. and S. Grossberg, Fast synchronization of perceptual grouping in laminar visual cortical circuits. Neural Netw, 2004. 17(5-6): p. 707

Grossberg, S. and A. Yazdanbakhsh, Laminar cortical dynamics of 3D surface perception: stratification, transparency, and neon color spreading. Vision Res, 2005. 45(13): p. 1725 

Grossberg and Yazdanbakhsh, Laminar cortical dynamics of 3-D surface stratification, transparency, and neon spreading. Journal of Vision, 2003. 3(9): p. 247

Yazdanbakhsh and Grossberg, How does perceptual grouping synchronize quickly under realistic neural constraints? Journal of Vision, 2003. 3(9): p. 757

Yazdanbakhsh, A., et al., New attractor states for synchronous activity in synfire chains with excitatory and inhibitory coupling. Biol Cybern, 2002. 86(5): p. 367

Díaz-Santos M., Mauro S., Cao B., Yazdanbakhsh A., Neargarder S., and Cronin-Golomb A. (2016). Bistable perception in normal aging: perceptual reversibility and its relation to cognition. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn., 26:1-20.

Diaz-Santos M, Cao B, Yazdanbakhsh A, Norton DJ, Neargarder S, Cronin-Golomb A. (2015). Perceptual, cognitive, and personality rigidity in Parkinson’s disease, Neuropsychologia, 69:183-93

Diaz-Santos M, Cao B, Mauro SA, Yazdanbakhsh A, Neargarder S, Cronin-Golomb A. (2015). Effect of Visual Cues on the Resolution of Perceptual Ambiguity in Parkinson’s Disease and Normal Aging, Journal of the International Neuropsychological Society, 21: 1–10 

Vinke, L. N., & Yazdanbakhsh, A. (2020). Lightness induction enhancements and limitations at low frequency modulations across a variety of stimulus contexts. PeerJ, 8, e8918. https://doi.org/10.7717/peerj.8918

Ogmen H., Shibata K., and Yazdanbakhsh A. (2020). Perception, Cognition, and Action in Hyperspaces: Implications on Brain Plasticity, Learning, and Cognition. Front. Psychol. 10:3000. doi: 10.3389/fpsyg.2019.03000

Zaric G., Yazdanbakhsh A., Nishina S., De Weerd P., and Watanabe T. (2015). Temporal Asynchrony between Sinusoidally Modulated Luminance and Depth, Journal of Vision, 15(15):13, 1–11

Leveille J., Myers E., and Yazdanbakhsh A. (2014). Object-centered reference frames in depth as revealed by induced motion, Journal of Vision, 14(3):15, 1–11

Gori, S., Giora, E., Yazdanbakhsh, A., & Mingolla, E. (2012). The novelty of Grating Illusion, Neural Networks, doi:10.1016/j.neunet.2012.07.008

Cao B., Yazdanbakhsh A., Mingolla E. (2011). The effect of contrast intensity and polarity in the achromatic watercolor effect, Journal of Vision, 11(3):18, 1–8

Livitz G., Yazdanbakhsh A., Eskew RT., and Mingolla E. (2011). Perceiving Opponent Hues in Color Induction Displays, Seeing and Perceiving, 24: 1–17 

Leveille J., Yazdanbakhsh A. (2010). Speed, more than depth, determines the strength of induced motion, Journal of Vision, 10(6):10, 1-9

Li A., Tavantzis MJ., and Yazdanbakhsh A. (2009). Lightness of Munker-White illusion and Simultaneous-Contrast illusion: Establishing an ordinal lightness relation among minimum and split-frame presentations, Review of Psychology, 16(1): 3-8

Gori S., Giora E., Yazdanbakhsh A., and Mingolla E. (2011). A new motion illusion based on competition between two kinds of motion processing units: The Accordion Grating, Neural Networks, 24(2011): 1082-1092

Yazdanbakhsh A. and Gori, S. (2008) A new psychophysical estimation of the receptive field size, Neuroscience Letters, 438(2): 246-251.

Gori, S. and A. Yazdanbakhsh (2008) The Riddle of the Rotating Tilted Lines Illusion. Perception, 37(4): 631-635.

Nishina, S., A. Yazdanbakhsh, et al. (2007). “Depth propagation across an illusory surface.” J Opt Soc Am A Opt Image Sci Vis 24(4): 905-10.

Yazdanbakhsh, A. and T. Watanabe, Asymmetry between horizontal and vertical illusory lines in determining the depth of their embedded surface. Vision Res, 2004. 44(22): p. 2621

Yazdanbakhsh, A. and T. Watanabe, Horizontal and vertical illusory lines are different in determining the depth of their embedded surface. Journal of Vision, 2004. 4(8): p. 476

Yazdanbakhsh, A., et al., Munker-White-like illusions without T-junctions. Perception, 2002. 31(6): p. 711

 

Yazdanbakhsh, A. and M. S. Livingstone (2006). “End stopping in V1 is sensitive to contrast.” Nature Neurosci 9(5): p.697-702.

Yazdanbakhsh A. and M Livingstone, (2006) Contrast-sign selectivity of End-stopping and Length-summation, Journal of Vision, 6(6): p.687

Livingstone M., A Yazdanbakhsh (2006) A fresh look at receptive-field size and illusory contour detection. Journal of vision 6(6): p.686

Conway BR , Kitaoka A, Yazdanbakhsh A, Pack CC, Livingstone MS, Neural basis for a powerful static motion illusion. J Neurosci, 2005. 25(23): p. 5651

Clayton K., Swaminathan J., Yazdanbakhsh A., Zuk J., Patel A., and Kidd G. (2016). Executive function, visual attention and the cocktail party problem in musicians and non-musicians, PLOS ONE, Jul 6;11(7):e0157638. doi: 10.1371

 

Ogmen H., Shibata K., and Yazdanbakhsh A. (2020). Perception, Cognition, and Action in Hyperspaces: Implications on Brain Plasticity, Learning, and Cognition. Front. Psychol. 10:3000. doi: 10.3389/fpsyg.2019.03000

Yazdanbakhsh A., Mingolla E. (2019) Figure-Ground Segregation, Computational Neural Models of. In: Jaeger D., Jung R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY

Neumann, H., A. Yazdanbakhsh, and Mingolla (2007). “Seeing surfaces: The brains vision of the world.” Physics of Life reviews 4: 189-222.