Decoding of Attentional State Using High-Frequency Local Field Potential Is As Accurate As Using Spikes
| Autor: | Surya S Prakash, J. Patrick Mayo, Sidrat Tasawoor Kanth, Supratim Ray, Aritra Das |
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| Rok vydání: | 2021 |
| Předmět: |
Male
genetic structures Computer science Cognitive Neuroscience Population Action Potentials Local field potential Cellular and Molecular Neuroscience Modulation (music) medicine Psychophysics Animals Attention education Visual Cortex Cued speech education.field_of_study Macaca mulatta Visual cortex medicine.anatomical_structure Receptive field Original Article Neural coding Neuroscience Photic Stimulation Decoding methods |
| Zdroj: | Cereb Cortex |
| ISSN: | 1460-2199 1047-3211 |
| Popis: | Local field potentials (LFPs) in visual cortex are reliably modulated when the subject’s focus of attention is cued into versus out of the receptive field of the recorded sites, similar to modulation of spikes. However, human psychophysics studies have used an additional attention condition, neutral cueing, for decades. The effect of neutral cueing on spikes was examined recently and found to be intermediate between cued and uncued conditions. However, whether LFPs are also precise enough to represent graded states of attention is unknown. We found in rhesus monkeys that LFPs during neutral cueing were also intermediate between cued and uncued conditions. For a single electrode, attention was more discriminable using high frequency (>30 Hz) LFP power than spikes, which is expected because LFP represents a population signal and therefore is expected to be less noisy than spikes. However, previous studies have shown that when multiple electrodes are used, spikes can outperform LFPs. Surprisingly, in our study, spikes did not outperform LFPs when discriminability was computed using multiple electrodes, even though the LFP activity was highly correlated across electrodes compared with spikes. These results constrain the spatial scale over which attention operates and highlight the usefulness of LFPs in studying attention. |
| Databáze: | OpenAIRE |
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