Literature DB >> 16306891

A natural approach to studying vision.

Gidon Felsen1, Yang Dan.   

Abstract

An ultimate goal of systems neuroscience is to understand how sensory stimuli encountered in the natural environment are processed by neural circuits. Achieving this goal requires knowledge of both the characteristics of natural stimuli and the response properties of sensory neurons under natural stimulation. Most of our current notions of sensory processing have come from experiments using simple, parametric stimulus sets. However, a growing number of researchers have begun to question whether this approach alone is sufficient for understanding the real-life sensory tasks performed by the organism. Here, focusing on the early visual pathway, we argue that the use of natural stimuli is vital for advancing our understanding of sensory processing.

Mesh:

Year:  2005        PMID: 16306891     DOI: 10.1038/nn1608

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


  94 in total

1.  Rapid discrimination of visual scene content in the human brain.

Authors:  Andrey P Anokhin; Simon Golosheykin; Erik Sirevaag; Sean Kristjansson; John W Rohrbaugh; Andrew C Heath
Journal:  Brain Res       Date:  2006-05-18       Impact factor: 3.252

2.  Robust coding of flow-field parameters by axo-axonal gap junctions between fly visual interneurons.

Authors:  Hermann Cuntz; Juergen Haag; Friedrich Forstner; Idan Segev; Alexander Borst
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-05       Impact factor: 11.205

3.  On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli.

Authors:  Tatyana O Sharpee; Kenneth D Miller; Michael P Stryker
Journal:  J Neurophysiol       Date:  2008-03-19       Impact factor: 2.714

4.  Adapting to altered image statistics using processed video.

Authors:  Michael Falconbridge; David Wozny; Ladan Shams; Stephen A Engel
Journal:  Vision Res       Date:  2009-04-11       Impact factor: 1.886

Review 5.  Computational identification of receptive fields.

Authors:  Tatyana O Sharpee
Journal:  Annu Rev Neurosci       Date:  2013-07-08       Impact factor: 12.449

6.  Invariance and sensitivity to intensity in neural discrimination of natural sounds.

Authors:  Cyrus P Billimoria; Benjamin J Kraus; Rajiv Narayan; Ross K Maddox; Kamal Sen
Journal:  J Neurosci       Date:  2008-06-18       Impact factor: 6.167

7.  Peri-saccadic natural vision.

Authors:  Michael Dorr; Peter J Bex
Journal:  J Neurosci       Date:  2013-01-16       Impact factor: 6.167

8.  Frequency-band signatures of visual responses to naturalistic input in ferret primary visual cortex during free viewing.

Authors:  Kristin K Sellers; Davis V Bennett; Flavio Fröhlich
Journal:  Brain Res       Date:  2014-12-12       Impact factor: 3.252

9.  Differential responses to high-frequency electrical stimulation in ON and OFF retinal ganglion cells.

Authors:  Perry Twyford; Changsi Cai; Shelley Fried
Journal:  J Neural Eng       Date:  2014-02-21       Impact factor: 5.379

10.  Reliability of cortical activity during natural stimulation.

Authors:  Uri Hasson; Rafael Malach; David J Heeger
Journal:  Trends Cogn Sci       Date:  2009-12-11       Impact factor: 20.229

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