scholarly journals Gamma rhythms in the visual cortex: functions and mechanisms

Author(s):  
Chuanliang Han ◽  
Robert Shapley ◽  
Dajun Xing

AbstractGamma-band activity, peaking around 30–100 Hz in the local field potential's power spectrum, has been found and intensively studied in many brain regions. Although gamma is thought to play a critical role in processing neural information in the brain, its cognitive functions and neural mechanisms remain unclear or debatable. Experimental studies showed that gamma rhythms are stochastic in time and vary with visual stimuli. Recent studies further showed that multiple rhythms coexist in V1 with distinct origins in different species. While all these experimental facts are a challenge for understanding the functions of gamma in the visual cortex, there are many signs of progress in computational studies. This review summarizes and discusses studies on gamma in the visual cortex from multiple perspectives and concludes that gamma rhythms are still a mystery. Combining experimental and computational studies seems the best way forward in the future.

2011 ◽  
Vol 3 (1) ◽  
pp. 62-68 ◽  
Author(s):  
Frances A. Maratos ◽  
Carl Senior ◽  
Karin Mogg ◽  
Brendan P. Bradley ◽  
Gina Rippon

2012 ◽  
Vol 32 (40) ◽  
pp. 13873-13880a ◽  
Author(s):  
D. Xing ◽  
Y. Shen ◽  
S. Burns ◽  
C.-I. Yeh ◽  
R. Shapley ◽  
...  

2010 ◽  
Vol 9 (8) ◽  
pp. 753-753
Author(s):  
D. Xing ◽  
C.-I. Yeh ◽  
P. Williams ◽  
A. Henrie ◽  
R. Shapley

2019 ◽  
Author(s):  
Corey M Ziemba ◽  
Richard K Perez ◽  
Julia Pai ◽  
Luke E Hallum ◽  
Christopher Shooner ◽  
...  

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.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Benjamin J Stauch ◽  
Alina Peter ◽  
Heike Schuler ◽  
Pascal Fries

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.


PLoS Biology ◽  
2021 ◽  
Vol 19 (12) ◽  
pp. e3001466
Author(s):  
Chuanliang Han ◽  
Tian Wang ◽  
Yi Yang ◽  
Yujie Wu ◽  
Yang Li ◽  
...  

Gamma rhythms in many brain regions, including the primary visual cortex (V1), are thought to play a role in information processing. Here, we report a surprising finding of 3 narrowband gamma rhythms in V1 that processed distinct spatial frequency (SF) signals and had different neural origins. The low gamma (LG; 25 to 40 Hz) rhythm was generated at the V1 superficial layer and preferred a higher SF compared with spike activity, whereas both the medium gamma (MG; 40 to 65 Hz), generated at the cortical level, and the high gamma HG; (65 to 85 Hz), originated precortically, preferred lower SF information. Furthermore, compared with the rates of spike activity, the powers of the 3 gammas had better performance in discriminating the edge and surface of simple objects. These findings suggest that gamma rhythms reflect the neural dynamics of neural circuitries that process different SF information in the visual system, which may be crucial for multiplexing SF information and synchronizing different features of an object.


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