Abstract

Stimulus-dependence of gamma oscillations (GAMMA, 30–90 Hz) has not been fully understood, but it is important for revealing neural mechanisms and functions of GAMMA. Here, we recorded spiking activity (MUA) and the local field potential (LFP), driven by a variety of plaids (generated by two superimposed gratings orthogonal to each other and with different contrast combinations), in the primary visual cortex of anesthetized cats. We found two distinct narrow-band GAMMAs in the LFPs and a variety of response patterns to plaids. Similar to MUA, most response patterns showed that the second grating suppressed GAMMAs driven by the first one. However, there is only a weak site-by-site correlation between cross-orientation interactions in GAMMAs and those in MUAs. We developed a normalization model that could unify the response patterns of both GAMMAs and MUAs. Interestingly, compared with MUAs, the GAMMAs demonstrated a wider range of model parameters and more diverse response patterns to plaids. Further analysis revealed that normalization parameters for high GAMMA, but not those for low GAMMA, were significantly correlated with the discrepancy of spatial frequency between stimulus and sites’ preferences. Consistent with these findings, normalization parameters and diversity of high GAMMA exhibited a clear transition trend and region difference between area 17 to 18. Our results show that GAMMAs are also regulated in the form of normalization, but that the neural mechanisms for these normalizations might differ from those of spiking activity. Normalizations in different brain signals could be due to interactions of excitation and inhibitions at multiple stages in the visual system.

Details

Title
Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex
Author
Wang, Bin 1 ; Han Chuanliang 1 ; Wang, Tian 1 ; Dai Weifeng 1 ; Yang, Li 1 ; Yang, Yi 1 ; Yang Guanzhong 1 ; Zhong Lvyan 1 ; Zhang, Yange 1 ; Wu, Yujie 1 ; Wang, Gang 2 ; Yu, Hongbo 3 ; Xing Dajun 1 

 Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing, China (GRID:grid.20513.35) (ISNI:0000 0004 1789 9964) 
 Beijing Institute of Basic Medical Sciences, Center of Brain Sciences, Beijing, China (GRID:grid.410318.f) (ISNI:0000 0004 0632 3409) 
 Fudan University, Vision Research Laboratory, Center for Brain Science Research and School of Life Sciences, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2495181779
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.