Literature DB >> 11698538

Shape representation in area V4: position-specific tuning for boundary conformation.

A Pasupathy1, C E Connor.   

Abstract

Visual shape recognition in primates depends on a multi-stage pathway running from primary visual cortex (V1) to inferotemporal cortex (IT). The mechanisms by which local shape signals from V1 are transformed into selectivity for abstract object categories in IT are unknown. One approach to this issue is to investigate shape representation at intermediate stages in the pathway, such as area V4. We studied 109 V4 cells that appeared sensitive to complex shape in preliminary tests. To achieve a more complete picture of shape representation in V4, we tested each cell with a set of 366 stimuli, constructed by systematically combining convex and concave boundary elements into closed shapes. Using this large, diverse stimulus set, we found that all the cells in our sample responded to a wide variety of shapes and did not appear to encode any single type of global shape. However, for most cells the shapes evoking strongest responses were characterized by a consistent type of boundary conformation at a specific position within the stimulus. For example, a given cell might be tuned for shapes containing concave curvature at the right, with other parts of the shape having little or no effect on responses. Many cells were tuned for more complex boundary configurations (e.g., a convex angle adjacent to a concave curve). We quantified this kind of shape tuning with Gaussian functions on a curvature x position domain. These tuning functions fit the neural responses much better than tuning functions based on edge or axis orientation. Thus individual V4 cells appear to encode moderately complex boundary information at specific locations within larger shapes. This finding suggests that, at intermediate stages in the V1-IT transformation, complex objects are represented at least partly in terms of the configurations and positions of their contour components.

Mesh:

Year:  2001        PMID: 11698538     DOI: 10.1152/jn.2001.86.5.2505

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  115 in total

1.  Local sensitivity to stimulus orientation and spatial frequency within the receptive fields of neurons in visual area 2 of macaque monkeys.

Authors:  X Tao; B Zhang; E L Smith; S Nishimoto; I Ohzawa; Y M Chino
Journal:  J Neurophysiol       Date:  2011-11-23       Impact factor: 2.714

2.  Hierarchical processing of complex motion along the primate dorsal visual pathway.

Authors:  Patrick J Mineault; Farhan A Khawaja; Daniel A Butts; Christopher C Pack
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-31       Impact factor: 11.205

3.  Curvature processing dynamics in macaque area V4.

Authors:  Jeffrey M Yau; Anitha Pasupathy; Scott L Brincat; Charles E Connor
Journal:  Cereb Cortex       Date:  2012-01-31       Impact factor: 5.357

4.  Shape encoding consistency across colors in primate V4.

Authors:  Brittany N Bushnell; Anitha Pasupathy
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

5.  Characterizing responses of translation-invariant neurons to natural stimuli: maximally informative invariant dimensions.

Authors:  Michael Eickenberg; Ryan J Rowekamp; Minjoon Kouh; Tatyana O Sharpee
Journal:  Neural Comput       Date:  2012-06-26       Impact factor: 2.026

Review 6.  Uncovering the visual "alphabet": advances in our understanding of object perception.

Authors:  Leslie G Ungerleider; Andrew H Bell
Journal:  Vision Res       Date:  2010-10-28       Impact factor: 1.886

7.  Internal curvature signal and noise in low- and high-level vision.

Authors:  Timothy D Sweeny; Marcia Grabowecky; Yee Joon Kim; Satoru Suzuki
Journal:  J Neurophysiol       Date:  2011-01-05       Impact factor: 2.714

8.  Medial axis shape coding in macaque inferotemporal cortex.

Authors:  Chia-Chun Hung; Eric T Carlson; Charles E Connor
Journal:  Neuron       Date:  2012-06-21       Impact factor: 17.173

9.  Multimap formation in visual cortex.

Authors:  Rishabh Jain; Rachel Millin; Bartlett W Mel
Journal:  J Vis       Date:  2015       Impact factor: 2.240

10.  Selective mechanisms for simple contours revealed by compound adaptation.

Authors:  Sarah Hancock; Jonathan W Peirce
Journal:  J Vis       Date:  2008-06-03       Impact factor: 2.240

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