scholarly journals FEF-Controlled Alpha Delay Activity Precedes Stimulus-Induced Gamma-Band Activity in Visual Cortex

2017 ◽  
Vol 37 (15) ◽  
pp. 4117-4127 ◽  
Author(s):  
Tzvetan Popov ◽  
Sabine Kastner ◽  
Ole Jensen
Keyword(s):  
Visual Cortex ◽  
Gamma Band ◽  
Gamma Band Activity ◽  
Band Activity

scholarly journals Early gamma-band activity as a function of threat processing in the extrastriate visual cortex

2011 ◽  
Vol 3 (1) ◽  
pp. 62-68 ◽  
Author(s):  
Frances A. Maratos ◽  
Carl Senior ◽  
Karin Mogg ◽  
Brendan P. Bradley ◽  
Gina Rippon
Keyword(s):  
Visual Cortex ◽  
Gamma Band ◽  
Threat Processing ◽  
Extrastriate Visual Cortex ◽  
Gamma Band Activity ◽  
Band Activity

scholarly journals Stochastic Generation of Gamma-Band Activity in Primary Visual Cortex of Awake and Anesthetized Monkeys

2012 ◽  
Vol 32 (40) ◽  
pp. 13873-13880a ◽  
Author(s):  
D. Xing ◽  
Y. Shen ◽  
S. Burns ◽  
C.-I. Yeh ◽  
R. Shapley ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Gamma Band ◽  
Stochastic Generation ◽  
Gamma Band Activity ◽  
Band Activity

scholarly journals Image discontinuity changes LFP gamma-band activity in primary visual cortex V1

2010 ◽  
Vol 9 (8) ◽  
pp. 753-753
Author(s):  
D. Xing ◽  
C.-I. Yeh ◽  
P. Williams ◽  
A. Henrie ◽  
R. Shapley
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Gamma Band ◽  
Gamma Band Activity ◽  
Band Activity

scholarly journals Laminar differences in responses to naturalistic texture in macaque V1 and V2

2019 ◽  
Author(s):  
Corey M Ziemba ◽  
Richard K Perez ◽  
Julia Pai ◽  
Luke E Hallum ◽  
Christopher Shooner ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Order Statistics ◽  
Higher Order ◽  
Gamma Band ◽  
Single Units ◽  
Higher Order Statistics ◽  
Image Structure ◽  
Gamma Band Activity ◽  
Granular Layers ◽  
Band Activity

AbstractMost single units recorded from macaque V2 respond with higher firing rates to synthetic texture images containing “naturalistic” higher-order statistics than to spectrally matched “noise” images lacking these statistics. In contrast, few single units in V1 show this property. We explored how the strength and dynamics of response vary across the different layers of visual cortex by recording multiunit and gamma band activity evoked by brief presentations of naturalistic and noise images in V1 and V2 of anesthetized macaque monkeys. As previously reported, recordings in V2 showed consistently stronger responses to naturalistic texture than to spectrally matched noise. In contrast to single unit recordings, V1 multiunit activity showed some preference for images with naturalistic statistics, and in gamma band activity this preference was comparable across V1 and V2. Sensitivity to naturalistic image structure was strongest in the supragranular and infragranular layers of V1, but weak in granular layers, suggesting that it might reflect feedback from V2. Response timing was consistent with this idea. Visual responses appeared first in V1, followed by V2. Sensitivity to naturalistic texture emerged first in V2, followed by the supragranular and infragranular layers of V1, and finally in the granular layers of V1. Our results demonstrate laminar differences in the encoding of higher-order statistics of natural texture, and suggest that this sensitivity first arises in V2 and is fed back to modulate activity in V1.Significance StatementThe circuit mechanisms responsible for visual representations of intermediate complexity are largely unknown. We used a well-validated set of synthetic texture stimuli to probe the temporal and laminar profile of sensitivity to the higher-order statistical structure of natural images. We found that this sensitivity emerges first and most strongly in V2 but soon after in V1. However, sensitivity in V1 is higher in the laminae (extragranular) and recording modalities (local field potential) most likely affected by V2 connections, suggesting a feedback origin. Our results show how sensitivity to naturalistic image structure emerges across time and circuitry in the early visual cortex.

scholarly journals Stimulus-specific plasticity in human visual gamma-band activity and functional connectivity

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Benjamin J Stauch ◽  
Alina Peter ◽  
Heike Schuler ◽  
Pascal Fries
Keyword(s):  
Visual Cortex ◽  
Human Subjects ◽  
Gamma Band ◽  
Stimulus Repetition ◽  
Oscillatory Dynamics ◽  
Early Visual Cortex ◽  
Neuronal Processing ◽  
Plastic Changes ◽  
Gamma Band Activity ◽  
Band Activity

Under natural conditions, the visual system often sees a given input repeatedly. This provides an opportunity to optimize processing of the repeated stimuli. Stimulus repetition has been shown to strongly modulate neuronal-gamma band synchronization, yet crucial questions remained open. Here we used magnetoencephalography in 30 human subjects and find that gamma decreases across ≈10 repetitions and then increases across further repetitions, revealing plastic changes of the activated neuronal circuits. Crucially, increases induced by one stimulus did not affect responses to other stimuli, demonstrating stimulus specificity. Changes partially persisted when the inducing stimulus was repeated after 25 minutes of intervening stimuli. They were strongest in early visual cortex and increased interareal feedforward influences. Our results suggest that early visual cortex gamma synchronization enables adaptive neuronal processing of recurring stimuli. These and previously reported changes might be due to an interaction of oscillatory dynamics with established synaptic plasticity mechanisms.

scholarly journals Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Ilya Kuzovkin ◽  
Raul Vicente ◽  
Mathilde Petton ◽  
Jean-Philippe Lachaux ◽  
Monica Baciu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Visual Cortex ◽  
Convolutional Neural Networks ◽  
Gamma Band ◽  
Deep Convolutional Neural Networks ◽  
Human Visual Cortex ◽  
Gamma Band Activity ◽  
Band Activity

Gamma band activity in an auditory oddball paradigm studied with the wavelet transform

2001 ◽  
Vol 112 (7) ◽  
pp. 1219-1228 ◽  
Author(s):  
I.G Gurtubay ◽  
M Alegre ◽  
A Labarga ◽  
A Malanda ◽  
J Iriarte ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Gamma Band ◽  
Oddball Paradigm ◽  
Auditory Oddball ◽  
Gamma Band Activity ◽  
Auditory Oddball Paradigm ◽  
Band Activity
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