Literature DB >> 21840069

What can mice tell us about how vision works?

Andrew D Huberman1, Cristopher M Niell.   

Abstract

Understanding the neural basis of visual perception is a long-standing fundamental goal of neuroscience. Historically, most vision studies were carried out on humans, macaques and cats. Over the past 5 years, however, a growing number of researchers have begun using mice to parse the mechanisms underlying visual processing; the rationale is that, despite having relatively poor acuity, mice are unmatched in terms of the variety and sophistication of tools available to label, monitor and manipulate specific cell types and circuits. In this review, we discuss recent advances in understanding the mouse visual system at the anatomical, receptive field and perceptual level, focusing on the opportunities and constraints those features provide toward the goal of understanding how vision works.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21840069      PMCID: PMC3371366          DOI: 10.1016/j.tins.2011.07.002

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  98 in total

1.  Behavioral assessment of visual acuity in mice and rats.

Authors:  G T Prusky; P W West; R M Douglas
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

2.  Eye and head movements evoked by electrical stimulation of monkey superior colliculus.

Authors:  M P Stryker; P H Schiller
Journal:  Exp Brain Res       Date:  1975-07-11       Impact factor: 1.972

3.  Receptive fields of single cells and topography in mouse visual cortex.

Authors:  U C Dräger
Journal:  J Comp Neurol       Date:  1975-04-01       Impact factor: 3.215

4.  Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN.

Authors:  Dennis M Dacey; Hsi-Wen Liao; Beth B Peterson; Farrel R Robinson; Vivianne C Smith; Joel Pokorny; King-Wai Yau; Paul D Gamlin
Journal:  Nature       Date:  2005-02-17       Impact factor: 49.962

5.  Retinotopic organization of striate and extrastriate visual cortex in the mouse.

Authors:  E Wagor; N J Mangini; A L Pearlman
Journal:  J Comp Neurol       Date:  1980-09-01       Impact factor: 3.215

6.  Modulation of visual responses by behavioral state in mouse visual cortex.

Authors:  Cristopher M Niell; Michael P Stryker
Journal:  Neuron       Date:  2010-02-25       Impact factor: 17.173

7.  Visual receptive field properties of neurons in the superficial superior colliculus of the mouse.

Authors:  Lupeng Wang; Rashmi Sarnaik; Krsna Rangarajan; Xiaorong Liu; Jianhua Cang
Journal:  J Neurosci       Date:  2010-12-08       Impact factor: 6.167

8.  Melanopsin-containing retinal ganglion cells: architecture, projections, and intrinsic photosensitivity.

Authors:  S Hattar; H W Liao; M Takao; D M Berson; K W Yau
Journal:  Science       Date:  2002-02-08       Impact factor: 47.728

9.  Transneuronal tracing of diverse CNS circuits by Cre-mediated induction of wheat germ agglutinin in transgenic mice.

Authors:  Joao M Braz; Beatriz Rico; Allan I Basbaum
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-21       Impact factor: 11.205

10.  Intracellular dynamics of hippocampal place cells during virtual navigation.

Authors:  Christopher D Harvey; Forrest Collman; Daniel A Dombeck; David W Tank
Journal:  Nature       Date:  2009-10-15       Impact factor: 49.962

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  124 in total

1.  Dynamics of spatial frequency tuning in mouse visual cortex.

Authors:  Samme Vreysen; Bin Zhang; Yuzo M Chino; Lutgarde Arckens; Gert Van den Bergh
Journal:  J Neurophysiol       Date:  2012-03-07       Impact factor: 2.714

2.  Target-specific effects of somatostatin-expressing interneurons on neocortical visual processing.

Authors:  James C H Cottam; Spencer L Smith; Michael Häusser
Journal:  J Neurosci       Date:  2013-12-11       Impact factor: 6.167

3.  Large-scale imaging of cortical dynamics during sensory perception and behavior.

Authors:  Joseph B Wekselblatt; Erik D Flister; Denise M Piscopo; Cristopher M Niell
Journal:  J Neurophysiol       Date:  2016-02-24       Impact factor: 2.714

4.  Distinct Circuits for Recovery of Eye Dominance and Acuity in Murine Amblyopia.

Authors:  Céleste-Élise Stephany; Xiaokuang Ma; Hilary M Dorton; Jie Wu; Alexander M Solomon; Michael G Frantz; Shenfeng Qiu; Aaron W McGee
Journal:  Curr Biol       Date:  2018-06-07       Impact factor: 10.834

5.  Photoreceptor cells with profound structural deficits can support useful vision in mice.

Authors:  Stewart Thompson; Frederick R Blodi; Swan Lee; Chris R Welder; Robert F Mullins; Budd A Tucker; Steven F Stasheff; Edwin M Stone
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-03-25       Impact factor: 4.799

Review 6.  The NEWMEDS rodent touchscreen test battery for cognition relevant to schizophrenia.

Authors:  M Hvoslef-Eide; A C Mar; S R O Nilsson; J Alsiö; C J Heath; L M Saksida; T W Robbins; T J Bussey
Journal:  Psychopharmacology (Berl)       Date:  2015-07-24       Impact factor: 4.530

7.  Pathway-Specific Asymmetries between ON and OFF Visual Signals.

Authors:  Sneha Ravi; Daniel Ahn; Martin Greschner; E J Chichilnisky; Greg D Field
Journal:  J Neurosci       Date:  2018-09-24       Impact factor: 6.167

Review 8.  Self-motion processing in visual and entorhinal cortices: inputs, integration, and implications for position coding.

Authors:  Malcolm G Campbell; Lisa M Giocomo
Journal:  J Neurophysiol       Date:  2018-08-08       Impact factor: 2.714

9.  Visual circuits: mouse retina no longer a level playing field.

Authors:  Onkar S Dhande; Andrew D Huberman
Journal:  Curr Biol       Date:  2014-02-17       Impact factor: 10.834

Review 10.  Evaluating retinal ganglion cell loss and dysfunction.

Authors:  Ben Mead; Stanislav Tomarev
Journal:  Exp Eye Res       Date:  2016-08-12       Impact factor: 3.467

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