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Visual Perception of 3D Space and Shape in Time - Part III 2D Shape Recognition by Log-Scaling

View ORCID ProfileBrian Ta, View ORCID ProfileMaria E. M. M. Silva, View ORCID ProfileKelly Bartlett, View ORCID ProfileUmaima Afifa, View ORCID ProfileAnnie Agazaryan, View ORCID ProfileRicardo Canela, View ORCID ProfileJavier Carmona, View ORCID ProfileEmmanuel John L. De Leon, View ORCID ProfileAlyssa Drost, View ORCID ProfileDiego Espino, View ORCID ProfileGuadalupe Espinoza, View ORCID ProfileKyleigh Follis, View ORCID ProfilePaul Gan, View ORCID ProfileLauren Ho, View ORCID ProfileChristina Honoré, View ORCID ProfileEmily Huang, View ORCID ProfileLuis Ibarra, View ORCID ProfileTessa Jackson, View ORCID ProfileMira Khosla, View ORCID ProfileCaominh Le, View ORCID ProfileVictor Li, View ORCID ProfileTrevor McCarthy, View ORCID ProfileElizabeth Mills, View ORCID ProfileSukanya Mohapatra, View ORCID ProfileYuuki Morishige, View ORCID ProfileNancy Nguyen, View ORCID ProfileZiyan Peng, View ORCID ProfileKimya Peyvan, View ORCID ProfileMichael Phipps, View ORCID ProfileIsabella Poschl, View ORCID ProfileJagannathan Rangarajan, View ORCID ProfileCharÿsa Santos, View ORCID ProfileLeonard Schummer, View ORCID ProfileSky Shi, View ORCID ProfileNatalie Smale, View ORCID ProfileApril Smith, View ORCID ProfileDivya Sood, View ORCID ProfileCindy Ta, View ORCID ProfileAnna Tran, View ORCID ProfileMichelle Tran, View ORCID ProfileRui Wang, View ORCID ProfilePatrick Wilson, View ORCID ProfileNicole L. Yang, View ORCID ProfileMegan Yu, View ORCID ProfileSelena Yu, View ORCID ProfileAaron P. Blaisdell, View ORCID ProfileKatsushi Arisaka
doi: https://doi.org/10.1101/2022.03.01.482004
Brian Ta
Department of Physics and Astronomy, University of California, Los Angeles
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Maria E. M. M. Silva
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Kelly Bartlett
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Umaima Afifa
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Annie Agazaryan
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Ricardo Canela
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Javier Carmona
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Emmanuel John L. De Leon
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Alyssa Drost
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Diego Espino
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Guadalupe Espinoza
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Kyleigh Follis
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Paul Gan
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Lauren Ho
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Christina Honoré
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Emily Huang
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Luis Ibarra
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Tessa Jackson
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Mira Khosla
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Caominh Le
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Victor Li
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Trevor McCarthy
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Elizabeth Mills
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Sukanya Mohapatra
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Yuuki Morishige
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Nancy Nguyen
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Ziyan Peng
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Kimya Peyvan
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Michael Phipps
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Isabella Poschl
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Jagannathan Rangarajan
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Charÿsa Santos
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Leonard Schummer
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Sky Shi
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Natalie Smale
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April Smith
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Divya Sood
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Cindy Ta
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Anna Tran
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Michelle Tran
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Rui Wang
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Patrick Wilson
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Nicole L. Yang
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Megan Yu
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Selena Yu
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Aaron P. Blaisdell
*Department of Psychology, UCLA Brain Research Institute, 475 Portola Plaza, Los Angeles, CA 90095, USA
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Katsushi Arisaka
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  • For correspondence: arisaka@physics.ucla.edu
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Abstract

Human vision has a remarkable ability to recognize complex 3D objects such as faces that appear with any size and 3D orientations at any 3D location. If we initially memorize a face only with a normalized size and viewed from directly head on, the direct comparison between the one-sized memory and a new incoming image would demand tremendous mental frame translations in 7D. How can we perform such a demanding task so promptly and reliably as we experience the objects in the world around us?

Intriguingly, our primary visual cortex exhibits a 2D retinotopy with a log-polar coordinate system, where scaling up/down of shape is converted to linear frame translation. As a result, mental scaling can be performed by linearly translating the memory or the perceptual image until they overlap with each other. According to our new model of NHT (Neural Holography Tomography), alpha brainwaves traveling at a constant speed can conduct this linear translation. With this scheme, every scaling up/down by a factor of two should take the same amount of extra mental time to recognize a smaller/larger face.

To test this hypothesis, we designed a reaction time (RT) experiment, where participants were first asked to memorize sets of unfamiliar faces with a given specific size (4° or 8°). Following the memorization phase, similar stimuli with a wide range of sizes (from 1° to 32°) were presented, and RTs were recorded. As predicted, the increase in RT was proportional to the scaling factor in the log scale. Furthermore, we observed that RTs were fastest for 8° faces even if the memorized face was 4°. This supports our hypothesis that we always memorize faces at the exact size of ~8 °. To our surprise, the increases in RT were also consistent with the mentally-estimated depth sensation, which indicates that the apparent size of the recognized face can create a proper depth sensation.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/brianta1/ScalingRT

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Visual Perception of 3D Space and Shape in Time - Part III 2D Shape Recognition by Log-Scaling
Brian Ta, Maria E. M. M. Silva, Kelly Bartlett, Umaima Afifa, Annie Agazaryan, Ricardo Canela, Javier Carmona, Emmanuel John L. De Leon, Alyssa Drost, Diego Espino, Guadalupe Espinoza, Kyleigh Follis, Paul Gan, Lauren Ho, Christina Honoré, Emily Huang, Luis Ibarra, Tessa Jackson, Mira Khosla, Caominh Le, Victor Li, Trevor McCarthy, Elizabeth Mills, Sukanya Mohapatra, Yuuki Morishige, Nancy Nguyen, Ziyan Peng, Kimya Peyvan, Michael Phipps, Isabella Poschl, Jagannathan Rangarajan, Charÿsa Santos, Leonard Schummer, Sky Shi, Natalie Smale, April Smith, Divya Sood, Cindy Ta, Anna Tran, Michelle Tran, Rui Wang, Patrick Wilson, Nicole L. Yang, Megan Yu, Selena Yu, Aaron P. Blaisdell, Katsushi Arisaka
bioRxiv 2022.03.01.482004; doi: https://doi.org/10.1101/2022.03.01.482004
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Visual Perception of 3D Space and Shape in Time - Part III 2D Shape Recognition by Log-Scaling
Brian Ta, Maria E. M. M. Silva, Kelly Bartlett, Umaima Afifa, Annie Agazaryan, Ricardo Canela, Javier Carmona, Emmanuel John L. De Leon, Alyssa Drost, Diego Espino, Guadalupe Espinoza, Kyleigh Follis, Paul Gan, Lauren Ho, Christina Honoré, Emily Huang, Luis Ibarra, Tessa Jackson, Mira Khosla, Caominh Le, Victor Li, Trevor McCarthy, Elizabeth Mills, Sukanya Mohapatra, Yuuki Morishige, Nancy Nguyen, Ziyan Peng, Kimya Peyvan, Michael Phipps, Isabella Poschl, Jagannathan Rangarajan, Charÿsa Santos, Leonard Schummer, Sky Shi, Natalie Smale, April Smith, Divya Sood, Cindy Ta, Anna Tran, Michelle Tran, Rui Wang, Patrick Wilson, Nicole L. Yang, Megan Yu, Selena Yu, Aaron P. Blaisdell, Katsushi Arisaka
bioRxiv 2022.03.01.482004; doi: https://doi.org/10.1101/2022.03.01.482004

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