Literature DB >> 30291205

Temporal Contingencies Determine Whether Adaptation Strengthens or Weakens Normalization.

Amir Aschner1, Samuel G Solomon2, Michael S Landy3, David J Heeger3, Adam Kohn4,5,6.   

Abstract

A fundamental and nearly ubiquitous feature of sensory encoding is that neuronal responses are strongly influenced by recent experience, or adaptation. Theoretical and computational studies have proposed that many adaptation effects may result in part from changes in the strength of normalization signals. Normalization is a "canonical" computation in which a neuron's response is modulated (normalized) by the pooled activity of other neurons. Here, we test whether adaptation can alter the strength of cross-orientation suppression, or masking, a paradigmatic form of normalization evident in primary visual cortex (V1). We made extracellular recordings of V1 neurons in anesthetized male macaques and measured responses to plaid stimuli composed of two overlapping, orthogonal gratings before and after prolonged exposure to two distinct adapters. The first adapter was a plaid consisting of orthogonal gratings and led to stronger masking. The second adapter presented the same orthogonal gratings in an interleaved manner and led to weaker masking. The strength of adaptation's effects on masking depended on the orientation of the test stimuli relative to the orientation of the adapters, but was independent of neuronal orientation preference. Changes in masking could not be explained by altered neuronal responsivity. Our results suggest that normalization signals can be strengthened or weakened by adaptation depending on the temporal contingencies of the adapting stimuli. Our findings reveal an interplay between two widespread computations in cortical circuits, adaptation and normalization, that enables flexible adjustments to the structure of the environment, including the temporal relationships among sensory stimuli.SIGNIFICANCE STATEMENT Two fundamental features of sensory responses are that they are influenced by adaptation and that they are modulated by the activity of other nearby neurons via normalization. Our findings reveal a strong interaction between these two aspects of cortical computation. Specifically, we show that cross-orientation masking, a form of normalization, can be strengthened or weakened by adaptation depending on the temporal contingencies between sensory inputs. Our findings support theoretical proposals that some adaptation effects may involve altered normalization and offer a network-based explanation for how cortex adjusts to current sensory demands.
Copyright © 2018 the authors 0270-6474/18/3810129-14$15.00/0.

Entities:  

Keywords:  V1; adaptation; cross-orientation suppression; macaque

Mesh:

Year:  2018        PMID: 30291205      PMCID: PMC6246879          DOI: 10.1523/JNEUROSCI.1131-18.2018

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


  79 in total

1.  Cellular mechanisms of long-lasting adaptation in visual cortical neurons in vitro.

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

2.  Statistical learning of visual transitions in monkey inferotemporal cortex.

Authors:  Travis Meyer; Carl R Olson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-14       Impact factor: 11.205

3.  Cross-orientation suppression: monoptic and dichoptic mechanisms are different.

Authors:  Baowang Li; Matthew R Peterson; Jeffrey K Thompson; Thang Duong; Ralph D Freeman
Journal:  J Neurophysiol       Date:  2005-04-20       Impact factor: 2.714

4.  Relationship between contrast adaptation and orientation tuning in V1 and V2 of cat visual cortex.

Authors:  N A Crowder; N S C Price; M A Hietanen; B Dreher; C W G Clifford; M R Ibbotson
Journal:  J Neurophysiol       Date:  2005-09-28       Impact factor: 2.714

5.  Early and late mechanisms of surround suppression in striate cortex of macaque.

Authors:  Ben S Webb; Neel T Dhruv; Samuel G Solomon; Chris Tailby; Peter Lennie
Journal:  J Neurosci       Date:  2005-12-14       Impact factor: 6.167

Review 6.  Visual adaptation: physiology, mechanisms, and functional benefits.

Authors:  Adam Kohn
Journal:  J Neurophysiol       Date:  2007-03-07       Impact factor: 2.714

7.  Adaptable mechanisms that regulate the contrast response of neurons in the primate lateral geniculate nucleus.

Authors:  Aaron J Camp; Chris Tailby; Samuel G Solomon
Journal:  J Neurosci       Date:  2009-04-15       Impact factor: 6.167

8.  Similar adaptation effects in primary visual cortex and area MT of the macaque monkey under matched stimulus conditions.

Authors:  Carlyn A Patterson; Jacob Duijnhouwer; Stephanie C Wissig; Bart Krekelberg; Adam Kohn
Journal:  J Neurophysiol       Date:  2013-12-26       Impact factor: 2.714

9.  Motion perception: a color-contingent aftereffect.

Authors:  O E Favreau; V F Emerson; M C Corballis
Journal:  Science       Date:  1972-04-07       Impact factor: 47.728

10.  Adaptation maintains population homeostasis in primary visual cortex.

Authors:  Andrea Benucci; Aman B Saleem; Matteo Carandini
Journal:  Nat Neurosci       Date:  2013-04-21       Impact factor: 24.884

View more
  6 in total

1.  Relating Divisive Normalization to Neuronal Response Variability.

Authors:  Ruben Coen-Cagli; Selina S Solomon
Journal:  J Neurosci       Date:  2019-08-06       Impact factor: 6.167

2.  Contingent adaptation in masking and surround suppression.

Authors:  Hörmet Yiltiz; David J Heeger; Michael S Landy
Journal:  Vision Res       Date:  2019-12-17       Impact factor: 1.886

3.  Modelling the neural code in large populations of correlated neurons.

Authors:  Sacha Sokoloski; Amir Aschner; Ruben Coen-Cagli
Journal:  Elife       Date:  2021-10-05       Impact factor: 8.140

4.  Steady-state measures of visual suppression.

Authors:  Daniel H Baker; Greta Vilidaite; Alex R Wade
Journal:  PLoS Comput Biol       Date:  2021-10-13       Impact factor: 4.475

5.  Explaining Orientation Adaptation in V1 by Updating the State of a Spatial Model.

Authors:  Shaobing Gao; Xiao Liu
Journal:  Front Comput Neurosci       Date:  2022-02-18       Impact factor: 2.380

6.  Interaction between steady-state visually evoked potentials at nearby flicker frequencies.

Authors:  Siddhesh Salelkar; Supratim Ray
Journal:  Sci Rep       Date:  2020-03-24       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.