Literature DB >> 12726834

Synaptic energy efficiency in retinal processing.

Benjamin T Vincent1, Roland J Baddeley.   

Abstract

Recent work suggests that the visual system may represent early visual information in an energy efficient manner [Nature 381 (1996); Nature, 381 (1996) 607; Neural Comput. 3 (2001) 799; Curr. Opin. Neurobiol. 11 (2001) 475]. This paper applies the idea of energy efficient representations to understand retinal processing, and provides evidence that centre surround processing observed is efficient in terms of minimizing synaptic activity. In particular, it is shown that receptive fields at different retinal eccentricities and at different levels of noise, can be understood in terms of maximizing the transmission of visual information given a constraint on total synaptic strengths and hence energy consumption.

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Year:  2003        PMID: 12726834     DOI: 10.1016/s0042-6989(03)00096-8

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  15 in total

1.  Can the theory of "whitening" explain the center-surround properties of retinal ganglion cell receptive fields?

Authors:  Daniel J Graham; Damon M Chandler; David J Field
Journal:  Vision Res       Date:  2006-06-16       Impact factor: 1.886

2.  Design of a neuronal array.

Authors:  Bart G Borghuis; Charles P Ratliff; Robert G Smith; Peter Sterling; Vijay Balasubramanian
Journal:  J Neurosci       Date:  2008-03-19       Impact factor: 6.167

3.  The cost of linearization.

Authors:  Danielle Morel; William Levy
Journal:  J Comput Neurosci       Date:  2009-04-03       Impact factor: 1.621

4.  Robustness of neural codes and its implication on natural image processing.

Authors:  Sheng Li; Si Wu
Journal:  Cogn Neurodyn       Date:  2007-07-12       Impact factor: 5.082

5.  Linearization of excitatory synaptic integration at no extra cost.

Authors:  Danielle Morel; Chandan Singh; William B Levy
Journal:  J Comput Neurosci       Date:  2018-01-25       Impact factor: 1.621

6.  Ideal observer analysis of signal quality in retinal circuits.

Authors:  Robert G Smith; Narender K Dhingra
Journal:  Prog Retin Eye Res       Date:  2009-05-13       Impact factor: 21.198

7.  Uniform signal redundancy of parasol and midget ganglion cells in primate retina.

Authors:  Jeffrey L Gauthier; Greg D Field; Alexander Sher; Jonathon Shlens; Martin Greschner; Alan M Litke; E J Chichilnisky
Journal:  J Neurosci       Date:  2009-04-08       Impact factor: 6.167

Review 8.  Stimulus- and goal-oriented frameworks for understanding natural vision.

Authors:  Maxwell H Turner; Luis Gonzalo Sanchez Giraldo; Odelia Schwartz; Fred Rieke
Journal:  Nat Neurosci       Date:  2018-12-10       Impact factor: 24.884

9.  Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons.

Authors:  Yan Karklin; Eero P Simoncelli
Journal:  Adv Neural Inf Process Syst       Date:  2011-12

10.  Efficient coding of spatial information in the primate retina.

Authors:  Eizaburo Doi; Jeffrey L Gauthier; Greg D Field; Jonathon Shlens; Alexander Sher; Martin Greschner; Timothy A Machado; Lauren H Jepson; Keith Mathieson; Deborah E Gunning; Alan M Litke; Liam Paninski; E J Chichilnisky; Eero P Simoncelli
Journal:  J Neurosci       Date:  2012-11-14       Impact factor: 6.167

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