Literature DB >> 28262485

Recent Visual Experience Shapes Visual Processing in Rats through Stimulus-Specific Adaptation and Response Enhancement.

Kasper Vinken1, Rufin Vogels2, Hans Op de Beeck3.   

Abstract

From an ecological point of view, it is generally suggested that the main goal of vision in rats and mice is navigation and (aerial) predator evasion [1-3]. The latter requires fast and accurate detection of a change in the visual environment. An outstanding question is whether there are mechanisms in the rodent visual system that would support and facilitate visual change detection. An experimental protocol frequently used to investigate change detection in humans is the oddball paradigm, in which a rare, unexpected stimulus is presented in a train of stimulus repetitions [4]. A popular "predictive coding" theory of cortical responses states that neural responses should decrease for expected sensory input and increase for unexpected input [5, 6]. Despite evidence for response suppression and enhancement in noninvasive scalp recordings in humans with this paradigm [7, 8], it has proven challenging to observe both phenomena in invasive action potential recordings in other animals [9-11]. During a visual oddball experiment, we recorded multi-unit spiking activity in rat primary visual cortex (V1) and latero-intermediate area (LI), which is a higher area of the rodent ventral visual stream. In rat V1, there was only evidence for response suppression related to stimulus-specific adaptation, and not for response enhancement. However, higher up in area LI, spiking activity showed clear surprise-based response enhancement in addition to stimulus-specific adaptation. These results show that neural responses along the rat ventral visual stream become increasingly sensitive to changes in the visual environment, suggesting a system specialized in the detection of unexpected events.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  adaptation; change detection; mismatch negativity; oddball; predictive coding; rat; repetition suppression; response enhancement; surprise response; visual cortex

Mesh:

Year:  2017        PMID: 28262485     DOI: 10.1016/j.cub.2017.02.024

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  22 in total

1.  Amplitude modulations of cortical sensory responses in pulsatile evidence accumulation.

Authors:  Sue Ann Koay; Stephan Thiberge; Carlos D Brody; David W Tank
Journal:  Elife       Date:  2020-12-02       Impact factor: 8.140

2.  Oscillatory Encoding of Visual Stimulus Familiarity.

Authors:  Samuel T Kissinger; Alexandr Pak; Yu Tang; Sotiris C Masmanidis; Alexander A Chubykin
Journal:  J Neurosci       Date:  2018-06-18       Impact factor: 6.167

3.  Face Repetition Probability Does Not Affect Repetition Suppression in Macaque Inferotemporal Cortex.

Authors:  Kasper Vinken; Hans P Op de Beeck; Rufin Vogels
Journal:  J Neurosci       Date:  2018-07-20       Impact factor: 6.167

4.  [Effects of auditory response patterns on stimulus-specific adaptation of inferior colliculus neurons in awake mice].

Authors:  Changbao Song; Jinxing Wei; Lv Li; Zhongju Xiao
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-01-30

5.  Hierarchical stimulus processing in rodent primary and lateral visual cortex as assessed through neuronal selectivity and repetition suppression.

Authors:  Dzmitry A Kaliukhovich; Hans Op de Beeck
Journal:  J Neurophysiol       Date:  2018-05-09       Impact factor: 2.714

6.  A passive, camera-based head-tracking system for real-time, three-dimensional estimation of head position and orientation in rodents.

Authors:  Walter Vanzella; Natalia Grion; Daniele Bertolini; Andrea Perissinotto; Marco Gigante; Davide Zoccolan
Journal:  J Neurophysiol       Date:  2019-09-25       Impact factor: 2.714

7.  Synaptic Adaptation Contributes to Stimulus-Specific Adaptation in the Thalamic Reticular Nucleus.

Authors:  Yu-Ying Zhai; Ryszard Auksztulewicz; Pei-Run Song; Zhi-Hai Sun; Yu-Mei Gong; Xin-Yu Du; Jie He; Xiongjie Yu
Journal:  Neurosci Bull       Date:  2020-06-18       Impact factor: 5.203

8.  Prediction error and repetition suppression have distinct effects on neural representations of visual information.

Authors:  Matthew F Tang; Cooper A Smout; Ehsan Arabzadeh; Jason B Mattingley
Journal:  Elife       Date:  2018-12-14       Impact factor: 8.140

9.  Magnitude, time course, and specificity of rapid adaptation across mouse visual areas.

Authors:  Miaomiao Jin; Lindsey L Glickfeld
Journal:  J Neurophysiol       Date:  2020-06-17       Impact factor: 2.714

10.  Sleep Strengthens Predictive Sequence Coding.

Authors:  Nicolas D Lutz; Ines Wolf; Stefanie Hübner; Jan Born; Karsten Rauss
Journal:  J Neurosci       Date:  2018-09-05       Impact factor: 6.167

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