Literature DB >> 23415830

Visual cortical networks: of mice and men.

Steffen Katzner1, Sarah Weigelt.   

Abstract

The visual cortical network consists of a number of specialized areas that are connected in a highly structured way. Understanding the function of this network is a milestone goal of visual neuroscience. This goal is pursued at different levels of description, including large-scale neuroanatomical as well as molecular and cellular perspectives. As a consequence, visual cortical networks are studied with a diverse set of methods across the order of mammalian species, ranging from the human all the way down to the mouse. Remarkable progress has been made at both ends of the spectrum. On the basis of work in humans, the last decade has seen ongoing refinements of the intricate functional organization of the cortical visual network. Neuroimaging studies have opened up the possibility to map individual visual areas, characterize their function and, search for an overarching organizational principle. Meanwhile, the mouse has become a valuable model system for early visual processing. A number of studies have demonstrated that basic response properties observed in higher-order mammals are also present in the mouse, making it possible to apply genetic tools to study visual network function. Here, we discuss the progress in these two fields side-by-side. We summarize new findings that have shaped our current understanding of the human cortical network. In addition, we review recent work that has laid the foundation for a mouse model of visual cortical processing. Although their brains are different, the visual cortical networks of mice and men share structural and functional principles.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23415830     DOI: 10.1016/j.conb.2013.01.019

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  12 in total

1.  Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex.

Authors:  Sina Tafazoli; Houman Safaai; Gioia De Franceschi; Federica Bianca Rosselli; Walter Vanzella; Margherita Riggi; Federica Buffolo; Stefano Panzeri; Davide Zoccolan
Journal:  Elife       Date:  2017-04-11       Impact factor: 8.140

Review 2.  The Assessment of Visual Function and Functional Vision.

Authors:  Christopher R Bennett; Peter J Bex; Corinna M Bauer; Lotfi B Merabet
Journal:  Semin Pediatr Neurol       Date:  2019-05-11       Impact factor: 1.636

3.  Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes.

Authors:  Riccardo Caramellino; Eugenio Piasini; Andrea Buccellato; Anna Carboncino; Vijay Balasubramanian; Davide Zoccolan
Journal:  Elife       Date:  2021-12-07       Impact factor: 8.140

4.  Advanced Insights into Functional Brain Connectivity by Combining Tensor Decomposition and Partial Directed Coherence.

Authors:  Britta Pester; Carolin Ligges; Lutz Leistritz; Herbert Witte; Karin Schiecke
Journal:  PLoS One       Date:  2015-06-05       Impact factor: 3.240

5.  Clonal selection versus clonal cooperation: the integrated perception of immune objects.

Authors:  Serge Nataf
Journal:  F1000Res       Date:  2016-09-05

Review 6.  A Laminar Organization for Selective Cortico-Cortical Communication.

Authors:  Rinaldo D D'Souza; Andreas Burkhalter
Journal:  Front Neuroanat       Date:  2017-08-22       Impact factor: 3.856

7.  Plasticity in the Structure of Visual Space.

Authors:  Chen Song; Andrew M Haun; Giulio Tononi
Journal:  eNeuro       Date:  2017-06-23

Review 8.  Multimodal mental imagery.

Authors:  Bence Nanay
Journal:  Cortex       Date:  2017-07-17       Impact factor: 4.027

9.  Accuracy of Rats in Discriminating Visual Objects Is Explained by the Complexity of Their Perceptual Strategy.

Authors:  Vladimir Djurdjevic; Alessio Ansuini; Daniele Bertolini; Jakob H Macke; Davide Zoccolan
Journal:  Curr Biol       Date:  2018-03-15       Impact factor: 10.834

10.  Experimentally derived model shows that adaptation acts as a powerful spatiotemporal filter of visual responses in the rat collicular neurons.

Authors:  Juntaute Bytautiene; Gytis Baranauskas
Journal:  Sci Rep       Date:  2018-06-12       Impact factor: 4.379

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