Literature DB >> 30188780

Spatial Frequency Tolerant Visual Object Representations in the Human Ventral and Dorsal Visual Processing Pathways.

Maryam Vaziri-Pashkam1,2, JohnMark Taylor1, Yaoda Xu1,3.   

Abstract

Primate ventral and dorsal visual pathways both contain visual object representations. Dorsal regions receive more input from magnocellular system while ventral regions receive inputs from both magnocellular and parvocellular systems. Due to potential differences in the spatial sensitivites of manocellular and parvocellular systems, object representations in ventral and dorsal regions may differ in how they represent visual input from different spatial scales. To test this prediction, we asked observers to view blocks of images from six object categories, shown in full spectrum, high spatial frequency (SF), or low SF. We found robust object category decoding in all SF conditions as well as SF decoding in nearly all the early visual, ventral, and dorsal regions examined. Cross-SF decoding further revealed that object category representations in all regions exhibited substantial tolerance across the SF components. No difference between ventral and dorsal regions was found in their preference for the different SF components. Further comparisons revealed that, whereas differences in the SF component separated object category representations in early visual areas, such a separation was much smaller in downstream ventral and dorsal regions. In those regions, variations among the object categories played a more significant role in shaping the visual representational structures. Our findings show that ventral and dorsal regions are similar in how they represent visual input from different spatial scales and argue against a dissociation of these regions based on differential sensitivity to different SFs.

Entities:  

Year:  2018        PMID: 30188780     DOI: 10.1162/jocn_a_01335

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  8 in total

1.  Examining the Coding Strength of Object Identity and Nonidentity Features in Human Occipito-Temporal Cortex and Convolutional Neural Networks.

Authors:  Yaoda Xu; Maryam Vaziri-Pashkam
Journal:  J Neurosci       Date:  2021-03-31       Impact factor: 6.167

2.  Task modulation of the 2-pathway characterization of occipitotemporal and posterior parietal visual object representations.

Authors:  Yaoda Xu; Maryam Vaziri-Pashkam
Journal:  Neuropsychologia       Date:  2019-07-10       Impact factor: 3.139

3.  Predicting Identity-Preserving Object Transformations across the Human Ventral Visual Stream.

Authors:  Viola Mocz; Maryam Vaziri-Pashkam; Marvin M Chun; Yaoda Xu
Journal:  J Neurosci       Date:  2021-07-12       Impact factor: 6.167

4.  Revisit once more the sensory storage account of visual working memory.

Authors:  Yaoda Xu
Journal:  Vis cogn       Date:  2020-09-20

5.  Roles of Category, Shape, and Spatial Frequency in Shaping Animal and Tool Selectivity in the Occipitotemporal Cortex.

Authors:  Chenxi He; Shao-Chin Hung; Olivia S Cheung
Journal:  J Neurosci       Date:  2020-06-11       Impact factor: 6.167

6.  Limits to visual representational correspondence between convolutional neural networks and the human brain.

Authors:  Yaoda Xu; Maryam Vaziri-Pashkam
Journal:  Nat Commun       Date:  2021-04-06       Impact factor: 14.919

Review 7.  Early-stage visual perception impairment in schizophrenia, bottom-up and back again.

Authors:  Petr Adámek; Veronika Langová; Jiří Horáček
Journal:  Schizophrenia (Heidelb)       Date:  2022-03-21

8.  Representation of color, form, and their conjunction across the human ventral visual pathway.

Authors:  JohnMark Taylor; Yaoda Xu
Journal:  Neuroimage       Date:  2022-02-02       Impact factor: 7.400

  8 in total

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