27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Dynamic representation of partially occluded objects in primate prefrontal and visual cortex

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Successful recognition of partially occluded objects is presumed to involve dynamic interactions between brain areas responsible for vision and cognition, but neurophysiological evidence for the involvement of feedback signals is lacking. Here, we demonstrate that neurons in the ventrolateral prefrontal cortex (vlPFC) of monkeys performing a shape discrimination task respond more strongly to occluded than unoccluded stimuli. In contrast, neurons in visual area V4 respond more strongly to unoccluded stimuli. Analyses of V4 response dynamics reveal that many neurons exhibit two transient response peaks, the second of which emerges after vlPFC response onset and displays stronger selectivity for occluded shapes. We replicate these findings using a model of V4/vlPFC interactions in which occlusion-sensitive vlPFC neurons feed back to shape-selective V4 neurons, thereby enhancing V4 responses and selectivity to occluded shapes. These results reveal how signals from frontal and visual cortex could interact to facilitate object recognition under occlusion.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: found
          • Article: not found

          The distinct modes of vision offered by feedforward and recurrent processing.

          An analysis of response latencies shows that when an image is presented to the visual system, neuronal activity is rapidly routed to a large number of visual areas. However, the activity of cortical neurons is not determined by this feedforward sweep alone. Horizontal connections within areas, and higher areas providing feedback, result in dynamic changes in tuning. The differences between feedforward and recurrent processing could prove pivotal in understanding the distinctions between attentive and pre-attentive vision as well as between conscious and unconscious vision. The feedforward sweep rapidly groups feature constellations that are hardwired in the visual brain, yet is probably incapable of yielding visual awareness; in many cases, recurrent processing is necessary before the features of an object are attentively grouped and the stimulus can enter consciousness.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Top-down influences on visual processing.

            Re-entrant or feedback pathways between cortical areas carry rich and varied information about behavioural context, including attention, expectation, perceptual tasks, working memory and motor commands. Neurons receiving such inputs effectively function as adaptive processors that are able to assume different functional states according to the task being executed. Recent data suggest that the selection of particular inputs, representing different components of an association field, enable neurons to take on different functional roles. In this Review, we discuss the various top-down influences exerted on the visual cortical pathways and highlight the dynamic nature of the receptive field, which allows neurons to carry information that is relevant to the current perceptual demands.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Fast readout of object identity from macaque inferior temporal cortex.

              Understanding the brain computations leading to object recognition requires quantitative characterization of the information represented in inferior temporal (IT) cortex. We used a biologically plausible, classifier-based readout technique to investigate the neural coding of selectivity and invariance at the IT population level. The activity of small neuronal populations (approximately 100 randomly selected cells) over very short time intervals (as small as 12.5 milliseconds) contained unexpectedly accurate and robust information about both object "identity" and "category." This information generalized over a range of object positions and scales, even for novel objects. Coarse information about position and scale could also be read out from the same population.
                Bookmark

                Author and article information

                Contributors
                Role: Reviewing Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                19 September 2017
                2017
                : 6
                : e25784
                Affiliations
                [1 ]deptDepartment of BIological Structure, Washington National Primate Research Center University of Washington SeattleUnited States
                [2 ]deptPhysiology and Biophysics, Washington National Primate Research Center University of Washington SeattleUnited States
                [3 ]deptApplied Mathematics, University of Washington Institute for Neuroengineering University of Washington SeattleUnited States
                [4 ]deptDepartment of Applied Mathematics University of Washington SeattleUnited States
                [5 ]deptDepartment of BIological Structure University of Washington SeattleUnited States
                University of Pennsylvania United States
                University of Pennsylvania United States
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-5396-2823
                https://orcid.org/0000-0002-8192-1121
                http://orcid.org/0000-0003-3808-8063
                Article
                25784
                10.7554/eLife.25784
                5605274
                28925354
                fd2e16c5-dd97-492e-96ea-9e4d2082a3f8
                © 2017, Fyall et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 19 February 2017
                : 24 August 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100001906, Washington Research Foundation;
                Award ID: Innovation Postdoctoral Fellowship in Neuroengineering
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DMS-1056125
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000053, National Eye Institute;
                Award ID: R01EY018839
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: OD010425
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000053, National Eye Institute;
                Award ID: P30EY01730
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Neuroscience
                Custom metadata
                Complementary neural codes in frontal and visual cortex support a role for feedback signals in the representation and recognition of partially occluded objects.

                Life sciences
                neurophysiology,object representation and recognition,feedback signals,prefrontal cortex,visual area v4,partial occlusion,rhesus macaque

                Comments

                Comment on this article