Literature DB >> 23575837

The role of delayed suppression in slow and fast contrast adaptation in V1 simple cells.

Manuel Levy1, Julien Fournier, Yves Frégnac.   

Abstract

The sensitivity and rate of neural coding along the early visual pathways adapt to changes in contrast of the retinal image caused by external motion or self-generated eye movements. To identify the functional mechanisms of fast and slow contrast adaptation at the level of the visual cortex, we randomly varied, over both short and long timescales, the contrast of optimal sinusoidal gratings flashed in the receptive field of simple cells. We found that fast contrast-dependent suppression lagged excitation by ~11 ms and controlled the spike's temporal precision. During slow adaptation to low contrasts, the gain and latency of excitation increased whereas suppression became less visible, resulting in more sensitive but slower and more variable responses. We conclude that delayed suppression controls the response dynamics during both fast and slow contrast adaptation. More generally, we propose that sensory adaptation trades neuronal sensitivity for processing speed by changing the balance between excitation and delayed inhibition.

Mesh:

Year:  2013        PMID: 23575837      PMCID: PMC6619067          DOI: 10.1523/JNEUROSCI.3609-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  76 in total

1.  Rapid adaptation in visual cortex to the structure of images.

Authors:  J R Müller; A B Metha; J Krauskopf; P Lennie
Journal:  Science       Date:  1999-08-27       Impact factor: 47.728

2.  Membrane mechanisms underlying contrast adaptation in cat area 17 in vivo.

Authors:  M V Sanchez-Vives; L G Nowak; D A McCormick
Journal:  J Neurosci       Date:  2000-06-01       Impact factor: 6.167

3.  Temporal coding of contrast in primary visual cortex: when, what, and why.

Authors:  D S Reich; F Mechler; J D Victor
Journal:  J Neurophysiol       Date:  2001-03       Impact factor: 2.714

4.  Orientation tuning of input conductance, excitation, and inhibition in cat primary visual cortex.

Authors:  J S Anderson; M Carandini; D Ferster
Journal:  J Neurophysiol       Date:  2000-08       Impact factor: 2.714

5.  Efficiency and ambiguity in an adaptive neural code.

Authors:  A L Fairhall; G D Lewen; W Bialek; R R de Ruyter Van Steveninck
Journal:  Nature       Date:  2001-08-23       Impact factor: 49.962

6.  Linear filtering and nonlinear interactions in direction-selective visual cortex neurons: a noise correlation analysis.

Authors:  C L Baker
Journal:  Vis Neurosci       Date:  2001 May-Jun       Impact factor: 3.241

7.  Enforcement of temporal fidelity in pyramidal cells by somatic feed-forward inhibition.

Authors:  F Pouille; M Scanziani
Journal:  Science       Date:  2001-08-10       Impact factor: 47.728

8.  Contrast-dependent nonlinearities arise locally in a model of contrast-invariant orientation tuning.

Authors:  A Kayser; N J Priebe; K D Miller
Journal:  J Neurophysiol       Date:  2001-05       Impact factor: 2.714

9.  Information theoretical evaluation of parametric models of gain control in blowfly photoreceptor cells.

Authors:  J H van Hateren; H P Snippe
Journal:  Vision Res       Date:  2001-06       Impact factor: 1.886

10.  Differential depression at excitatory and inhibitory synapses in visual cortex.

Authors:  J A Varela; S Song; G G Turrigiano; S B Nelson
Journal:  J Neurosci       Date:  1999-06-01       Impact factor: 6.167

View more
  8 in total

1.  Effects of surround suppression on response adaptation of V1 neurons to visual stimuli.

Authors:  Peng Li; Cai-Hong Jin; San Jiang; Miao-Miao Li; Zi-Lu Wang; Hui Zhu; Cui-Yun Chen; Tian-Miao Hua
Journal:  Dongwuxue Yanjiu       Date:  2014-09

2.  Nonlinear computations shaping temporal processing of precortical vision.

Authors:  Daniel A Butts; Yuwei Cui; Alexander R R Casti
Journal:  J Neurophysiol       Date:  2016-06-22       Impact factor: 2.714

Review 3.  The divisive normalization model of V1 neurons: a comprehensive comparison of physiological data and model predictions.

Authors:  Tadamasa Sawada; Alexander A Petrov
Journal:  J Neurophysiol       Date:  2017-08-23       Impact factor: 2.714

4.  Animation of natural scene by virtual eye-movements evokes high precision and low noise in V1 neurons.

Authors:  Pierre Baudot; Manuel Levy; Olivier Marre; Cyril Monier; Marc Pananceau; Yves Frégnac
Journal:  Front Neural Circuits       Date:  2013-12-27       Impact factor: 3.492

5.  Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1.

Authors:  Jens Kremkow; Laurent U Perrinet; Cyril Monier; Jose-Manuel Alonso; Ad Aertsen; Yves Frégnac; Guillaume S Masson
Journal:  Front Neural Circuits       Date:  2016-05-11       Impact factor: 3.492

6.  Rapid face adaptation distributes representation in inferior-temporal cortex across time and neuronal dimensions.

Authors:  Abdol-Hossein Vahabie; Mohammad-Reza A Dehaqani; Majid Nili Ahmadabadi; Babak Nadjar Araabi; Hossein Esteky
Journal:  Sci Rep       Date:  2017-05-10       Impact factor: 4.379

7.  Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.

Authors:  Jian K Liu; Tim Gollisch
Journal:  PLoS Comput Biol       Date:  2015-07-31       Impact factor: 4.475

8.  Diversity in spatial scope of contrast adaptation among mouse retinal ganglion cells.

Authors:  Mohammad Hossein Khani; Tim Gollisch
Journal:  J Neurophysiol       Date:  2017-09-13       Impact factor: 2.714

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.