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Early Visual Cortex as a Multiscale Cognitive Blackboard
2016
Annual Review of Vision Science
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The architecture also has distinct advantages for the processing of visual routines that rely on a number of sequentially executed processing steps. ...
The modulatory influences allow the early visual cortex to act as a multiscale cognitive blackboard for read and write operations by higher visual areas, which can thereby efficiently exchange information ...
In all these cases, perceptual grouping is accompanied by the labeling of the to-be-grouped image elements in the visual cortex with enhanced neuronal activity (the precise relationship between object-based ...
doi:10.1146/annurev-vision-111815-114443
pmid:28532363
fatcat:2cxrryn4mvfnxdu3d5st6a7nam
New light from the dark
2011
Current Opinion in Neurology
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Purpose of review In this review, we discuss findings from some recent brain imaging studies that shed new light on our understanding of the role of visual experience on the development of the brain morphological ...
The study of the blind brain is a very powerful approach to understanding not only the cross-modal plastic, adaptative modifications that occur in the 'visual' regions but primarily the functional architecture ...
Acknowledgements We would like to thank the fellows and the colleagues who have collaborated to many of the research projects reviewed in this study, including Tomaso Vecchi, Daniela Bonino, James V. ...
doi:10.1097/wco.0b013e328348bdbf
pmid:21677583
fatcat:5dzeibrkrjcdrgjekbu4xl3d6a
Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision
2016
Computer Vision and Image Understanding
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To this extent, this paper provides new insights and a starting point for investigators interested in the design of biology-based computer vision algorithms and pave a way for much needed interaction between ...
Based on this comparative analysis of computer and biological vision, we present some recent models in biological vision and highlight a few models that we think are promising for future investigations ...
H N acknowledges support from DFG in the SFB/TRR 'A Companion Technology for Cognitive Technical Systems. P K acknowledges support from the EC IP project FP7-ICT-2011-9 no. 600847 (RENVISION). ...
doi:10.1016/j.cviu.2016.04.009
fatcat:lad5bwlqgbb5nhgtnxj6d32mc4
Coarse-grain parallel computing for very large scale neural simulations in the NEXUS simulation environment
1997
Computers in Biology and Medicine
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We describe a neural simulator designed for simulating very large scale models of cortical architectures. ...
Coarse-grain parallel computing offers natural advantages in simulating functionally segregated neural processes. ...
Acknowledgments This work was supported by grants from The Office of Naval Research (N00014-93-1-0681), The Whitaker Foundation, and The McDonnell-Pew Program in Cognitive Neuroscience. ...
doi:10.1016/s0010-4825(96)00029-7
pmid:9303264
fatcat:cmr5qqwqtrbxzdtjsjxkho5oku
Feed-Forward Segmentation of Figure-Ground and Assignment of Border-Ownership
2010
PLoS ONE
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On the contrary, a role of feedforward projections in figure-ground segmentation is unknown. ...
Two main processes herein are boundary assignment and surface segregation, which rely on the integration of global scene information. ...
Jehee for her contributions during the initial start of the project.
Author Contributions Conceived and designed the experiments: HS. Performed the experiments: HS AR. Analyzed the data: HS. ...
doi:10.1371/journal.pone.0010705
pmid:20502718
pmcid:PMC2873306
fatcat:3gobbvqndfb3zlylbz5nulbvmy
Recurrent dynamics in the cerebral cortex: Integration of sensory evidence with stored knowledge
2021
Proceedings of the National Academy of Sciences of the United States of America
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Current concepts of sensory processing in the cerebral cortex emphasize serial extraction and recombination of features in hierarchically structured feed-forward networks in order to capture the relations ...
Here a concept is proposed that assigns specific functions to the dynamics of cortical networks and combines, in a unifying approach, the respective advantages of recurrent and feed-forward processing. ...
Grouping criteria based on higher-order statistics of natural scenes are, in all likelihood, stored in the functional architecture of downstream areas. ...
doi:10.1073/pnas.2101043118
pmid:34362837
pmcid:PMC8379985
fatcat:yr3fcieveffzjezsq2vpbbwcqa
The implementation of visual routines
2000
Vision Research
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Examples of such elemental operations are visual search, texture segregation and contour grouping. Here we attempt to delineate how such elemental operations are implemented in the visual brain. ...
Moreover, they permit transfer of information from one operator to the next, which allows flexibility in the sequencing of operations. ...
Acknowledgements The research of P.R. and V.L. has been made possible by a fellowship of the Royal Netherlands Academy of Arts and Sciences. ...
doi:10.1016/s0042-6989(00)00004-3
pmid:10788648
fatcat:a2e2a5xmwzfndixxm7bu7lvhsu
Solutions to the Binding Problem
1999
Neuron
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How are the correct relaso far has focused on the problem of binding in visual tions specified between the bound elements within a perception. How does the brain segregate the correct single object? ...
Multimodal integration for the representation Beck, J. (1967). Perceptual grouping produced by line figures. Perof space in the posterior parietal cortex. Philos. Trans. R. Soc. Lond. cep. ...
A neural network Bruce, C., Desimone, R., and Gross, C. (1981). Visual properties of for invariant pattern recognition. Europhys. ...
doi:10.1016/s0896-6273(00)80826-0
pmid:10677031
fatcat:egeleazdefhmtpa2kiqhlsno2y
Beyond the classical receptive field: The effect of contextual stimuli
2015
Journal of Vision
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The neurophysiology of figureground segregation in primary visual cortex. ...
Receptive field dynamics in adult primary visual cortex. Nature, 356, 150-152.) Hypothetical wiring diagram for the perceptual filling in of the blind spot. ...
doi:10.1167/15.9.7
pmid:26200888
fatcat:egcns6swt5bktlqy5lxnkfmkva
The Time Dimension for Scene Analysis
2005
IEEE Transactions on Neural Networks
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We survey a variety of studies that address the scene analysis problem, and the results of these studies have substantially advanced the capability of neural networks for figure-ground separation. ...
A fundamental issue in neural computation is the binding problem, which refers to how sensory elements in a scene organize into perceived objects, or percepts. ...
Robertson for very helpful discussions concerning the Appendix, and G.J. Brown and C. von der Malsburg for insightful comments on an earlier draft. I also thank G. Hu and Y. ...
doi:10.1109/tnn.2005.852235
pmid:16342484
fatcat:36wrmgjbzvfb5ccrihz5ncrvfi
Neural correlates of sparse coding and dimensionality reduction
2019
PLoS Computational Biology
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Although NSC might not apply to all brain areas (for example, motor or executive function areas) the success of NSC-based models, especially in sensory areas, warrants further investigation for neural ...
In addition, NSC might provide a useful theoretical framework under which to understand the often complex and nonintuitive response properties of neurons in other brain areas. ...
Because of its roots in efficient coding theories of natural image processing, there is a large body of research highlighting the role of NSC in visual cortex function (e.g., [24, 35, 41, 45, 46] ). ...
doi:10.1371/journal.pcbi.1006908
pmid:31246948
pmcid:PMC6597036
fatcat:llm2wwvr6jdlphqgjx6gt7ikv4
A neural theory of attentive visual search: Interactions of boundary, surface, spatial, and object representations
1994
Psychological review
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Visual search data are given a unified quantitative explanation by a model of how spatial maps in the parietal cortex and object recognition categories in the inferotemporal cortex deploy attentional resources ...
as they reciprocally interact with visual representations in the prestriate cortex, The model visual representations are organized into mUltiple boundary and surface representations, Visual search in ...
explain search data in Section 6, is based on three types of neural network models that have been undergoing development for some time: models of 3-D visual boundary and surface representation; models ...
doi:10.1037//0033-295x.101.3.470
fatcat:3lwju2m7rneplc2dhegrauy3z4
A neural theory of attentive visual search: Interactions of boundary, surface, spatial, and object representations
1994
Psychological review
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Visual search data are given a unified quantitative explanation by a model of how spatial maps in the parietal cortex and object recognition categories in the inferotemporal cortex deploy attentional resources ...
as they reciprocally interact with visual representations in the prestriate cortex, The model visual representations are organized into mUltiple boundary and surface representations, Visual search in ...
explain search data in Section 6, is based on three types of neural network models that have been undergoing development for some time: models of 3-D visual boundary and surface representation; models ...
doi:10.1037/0033-295x.101.3.470
pmid:7938340
fatcat:v2k5jfd7yfbwhjs3dkvq4wgzem
Extraction of Surface-Related Features in a Recurrent Model of V1-V2 Interactions
2009
PLoS ONE
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The approach is based on feedforward and feedback mechanisms found in visual cortical areas V1 and V2. ...
One way for the human visual system to infer monocular depth cues could be to extract and interpret occlusions. ...
Biological Plausibility Our model architecture is inspired by biological mechanisms and is based on neural representations of early visual cortex. ...
doi:10.1371/journal.pone.0005909
pmid:19526061
pmcid:PMC2691604
fatcat:ein3tfiffrec5alpvuw7mrhcu4
Number As a Primary Perceptual Attribute: A Review
2015
Perception
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But provided the elements are not too crowded (less than about two items per square degree in central vision, less in the periphery), there is little evidence that estimation of numerosity depends on mechanisms ...
In this review, we examine more recent evidence suggesting a further division, between sets of items greater than the subitizing range, but sparse enough to be individuated as single items; and densely ...
Interestingly, a recent neural model of numerosity investigates which neural architectures subserve the mapping of visual numerosities into numerical categories (numbers). ...
doi:10.1177/0301006615602599
pmid:26562858
pmcid:PMC5040510
fatcat:qpkudlayu5darbyvzz4paro5di
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