Literature DB >> 30349110

Natural image and receptive field statistics predict saccade sizes.

Jason M Samonds1,2,3, Wilson S Geisler4,5,6, Nicholas J Priebe4,5,7.   

Abstract

Humans and other primates sample the visual environment using saccadic eye movements that shift a high-resolution fovea toward regions of interest to create a clear perception of a scene across fixations. Many mammals, however, like mice, lack a fovea, which raises the question of why they make saccades. Here we describe and test the hypothesis that saccades are matched to natural scene statistics and to the receptive field sizes and adaptive properties of neural populations. Specifically, we determined the minimum amplitude of saccades in natural scenes necessary to provide uncorrelated inputs to model neural populations. This analysis predicts the distributions of observed saccade sizes during passive viewing for nonhuman primates, cats, and mice. Furthermore, disrupting the development of receptive field properties by monocular deprivation changed saccade sizes consistent with this hypothesis. Therefore, natural-scene statistics and the neural representation of natural images appear to be critical factors guiding saccadic eye movements.

Entities:  

Mesh:

Year:  2018        PMID: 30349110      PMCID: PMC6824909          DOI: 10.1038/s41593-018-0255-5

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  76 in total

1.  Edge co-occurrence in natural images predicts contour grouping performance.

Authors:  W S Geisler; J S Perry; B J Super; D P Gallogly
Journal:  Vision Res       Date:  2001-03       Impact factor: 1.886

2.  Statistics of natural images: Scaling in the woods.

Authors: 
Journal:  Phys Rev Lett       Date:  1994-08-08       Impact factor: 9.161

3.  Variability of eye movements when viewing dynamic natural scenes.

Authors:  Michael Dorr; Thomas Martinetz; Karl R Gegenfurtner; Erhardt Barth
Journal:  J Vis       Date:  2010-08-26       Impact factor: 2.240

4.  A quantitative study of the projection area of the central and the paracentral visual field in area 17 of the cat. II. The spatial organization of the orientation domain.

Authors:  K Albus
Journal:  Exp Brain Res       Date:  1975-12-22       Impact factor: 1.972

5.  The major cell populations of the mouse retina.

Authors:  C J Jeon; E Strettoi; R H Masland
Journal:  J Neurosci       Date:  1998-11-01       Impact factor: 6.167

6.  Effects of saccades on the activity of neurons in the cat lateral geniculate nucleus.

Authors:  D Lee; J G Malpeli
Journal:  J Neurophysiol       Date:  1998-02       Impact factor: 2.714

7.  Contralateral Bias of High Spatial Frequency Tuning and Cardinal Direction Selectivity in Mouse Visual Cortex.

Authors:  Kirstie J Salinas; Dario X Figueroa Velez; Jack H Zeitoun; Hyungtae Kim; Sunil P Gandhi
Journal:  J Neurosci       Date:  2017-09-18       Impact factor: 6.167

8.  Orientation specificity of contrast adaptation in mouse primary visual cortex.

Authors:  Aaron C Stroud; Emily E Ledue; Nathan A Crowder
Journal:  J Neurophysiol       Date:  2012-06-13       Impact factor: 2.714

9.  Orientation-tuned surround suppression in mouse visual cortex.

Authors:  Matthew W Self; Jeannette A M Lorteije; Joris Vangeneugden; Enny H van Beest; Mihaela E Grigore; Christiaan N Levelt; J Alexander Heimel; Pieter R Roelfsema
Journal:  J Neurosci       Date:  2014-07-09       Impact factor: 6.167

10.  Standard anatomical and visual space for the mouse retina: computational reconstruction and transformation of flattened retinae with the Retistruct package.

Authors:  David C Sterratt; Daniel Lyngholm; David J Willshaw; Ian D Thompson
Journal:  PLoS Comput Biol       Date:  2013-02-28       Impact factor: 4.475

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  13 in total

1.  Interocular velocity cues elicit vergence eye movements in mice.

Authors:  Veronica Choi; Nicholas J Priebe
Journal:  J Neurophysiol       Date:  2020-07-29       Impact factor: 2.714

2.  Mice Discriminate Stereoscopic Surfaces Without Fixating in Depth.

Authors:  Jason M Samonds; Veronica Choi; Nicholas J Priebe
Journal:  J Neurosci       Date:  2019-08-28       Impact factor: 6.167

3.  Evaluating Visual Cues Modulates Their Representation in Mouse Visual and Cingulate Cortex.

Authors:  Alexandra Wal; Frederike Johanna Klein; Gregory Born; Laura Busse; Steffen Katzner
Journal:  J Neurosci       Date:  2021-03-09       Impact factor: 6.167

4.  Superior colliculus drives stimulus-evoked directionally biased saccades and attempted head movements in head-fixed mice.

Authors:  Sebastian H Zahler; David E Taylor; Joey Y Wong; Julia M Adams; Evan H Feinberg
Journal:  Elife       Date:  2021-12-31       Impact factor: 8.140

5.  Disparity Sensitivity and Binocular Integration in Mouse Visual Cortex Areas.

Authors:  Alessandro La Chioma; Tobias Bonhoeffer; Mark Hübener
Journal:  J Neurosci       Date:  2020-10-13       Impact factor: 6.167

Review 6.  Understanding the retinal basis of vision across species.

Authors:  Tom Baden; Thomas Euler; Philipp Berens
Journal:  Nat Rev Neurosci       Date:  2019-11-28       Impact factor: 34.870

7.  Dynamics of gaze control during prey capture in freely moving mice.

Authors:  Angie M Michaiel; Elliott Tt Abe; Cristopher M Niell
Journal:  Elife       Date:  2020-07-24       Impact factor: 8.140

8.  Motion Discrimination and the Motion Aftereffect in Mouse Vision.

Authors:  Jason M Samonds; Sarina Lieberman; Nicholas J Priebe
Journal:  eNeuro       Date:  2018-12-21

9.  A Computational Model of Visual Recognition Memory via Grid Cells.

Authors:  Andrej Bicanski; Neil Burgess
Journal:  Curr Biol       Date:  2019-03-07       Impact factor: 10.834

10.  Mouse visual cortex contains a region of enhanced spatial resolution.

Authors:  Enny H van Beest; Sreedeep Mukherjee; Lisa Kirchberger; Ulf H Schnabel; Chris van der Togt; Rob R M Teeuwen; Areg Barsegyan; Arne F Meyer; Jasper Poort; Pieter R Roelfsema; Matthew W Self
Journal:  Nat Commun       Date:  2021-06-29       Impact factor: 14.919

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