scholarly journals Local field potential phase and spike timing convey information about different visual features in primary visual cortex

2011 ◽  
Vol 12 (S1) ◽  
Author(s):  
Alberto Mazzoni ◽  
Christoph Kayser ◽  
Yusuke Murayama ◽  
Juan Martinez ◽  
Rodrigo Quian Quiroga ◽  
...  
2013 ◽  
Vol 749 ◽  
pp. 333-337
Author(s):  
Shu Li Chen ◽  
Zhi Zhong Wang ◽  
Li Shi ◽  
Hong Wan ◽  
Xiao Ke Niu

Phase is an important feature of the local field potential (LFP) and plays a significant role in transmission and processing information in visual system. In this paper, the LFP of Long Evans rats primary visual cortex is recorded by the microelectrode array through the visual stimuli of the checkerboard and different orientation gratings. Then, a multi-mode phase extraction model based on the firing spikes was built. We found that neurons selective orientation information using the third intrinsic mode functions of local field potential during firing spikes.


2010 ◽  
Vol 7 (15) ◽  
pp. 72-72 ◽  
Author(s):  
S. Katzner ◽  
I. Nauhaus ◽  
A. Benucci ◽  
V. Bonin ◽  
D. Ringach ◽  
...  

2020 ◽  
Author(s):  
Mojtaba Kermani ◽  
Elizabeth Zavitz ◽  
Brian Oakley ◽  
Nicholas S.C. Price ◽  
Maureen A. Hagan ◽  
...  

AbstractIn the primary visual cortex, neurons with similar receptive field properties are bound together through widespread networks of horizontal connections that span orientation columns. How connectivity across the cortical surface relates to stimulus information is not fully understood. We recorded spiking activity and the local field potential (LFP) from the primary visual cortex of marmoset monkeys and examined how connectivity between distant orientation columns affect the encoding of visual orientation.Regardless of their spatial separation, recording sites with similar orientation preferences have higher coherence between spiking activity and the local field potential than sites with different preferred orientation. Using information theoretic methods, we measured the amount of stimulus information that is shared between pairs of sites. More stimulus information can be decoded from pairs with the same preferred stimulus orientation than the pairs with a different preferred orientation, and the amount of information is significantly correlated with the magnitude of beta-band spike-LFP coherence. These effects remained after controlling for firing rate differences.Our results thus show that spike-LFP synchronization in the beta-band is associated with the encoding of stimulus information within the primary visual cortex of marmoset monkeys.Significance StatementA fundamental step in processing images in the visual cortex is coordinating the neural activity across distributed populations of neurons. Here, we demonstrate that populations of neurons in the primary visual cortex of marmoset monkeys with the same stimulus orientation preference temporally coordinate their activity patterns when presented with a visual stimulus. We find maximum synchronization in the beta range depends on the similarity of orientation preference at each pair of the neural population.


2016 ◽  
Vol 116 (4) ◽  
pp. 1986-1999 ◽  
Author(s):  
Agrita Dubey ◽  
Supratim Ray

Local field potential (LFP) is a valuable tool in understanding brain function and in brain machine-interfacing applications. However, there is no consensus on the spatial extent of the cortex that contributes to the LFP (its “spatial spread”), with different studies reporting values between a few hundred micrometers and several millimeters. Furthermore, the dependency of the spatial spread on frequency, which could reflect properties of the network architecture and extracellular medium, is not well studied, with theory and models predicting either “all-pass” (frequency-independent) or “low-pass” behavior. Surprisingly, we found the LFP spread to be “band-pass” in the primate primary visual cortex, with the greatest spread in the high-gamma range (60–150 Hz). This was accompanied by an increase in phase coherency across neighboring sites in the same frequency range, consistent with the findings of a recent model that reconciles previous studies by suggesting that spatial spread depends on neuronal correlations.


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