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Evidence for Multiscale Multiplexed Representation of Visual Features in EEG.

Authors :
Karimi-Rouzbahani, Hamid
Source :
Neural Computation. Mar2024, Vol. 36 Issue 3, p412-436. 25p.
Publication Year :
2024

Abstract

Distinct neural processes such as sensory and memory processes are often encoded over distinct timescales of neural activations. Animal studies have shown that this multiscale coding strategy is also implemented for individual components of a single process, such as individual features of a multifeature stimulus in sensory coding. However, the generalizability of this encoding strategy to the human brain has remained unclear. We asked if individual features of visual stimuli were encoded over distinct timescales. We applied a multiscale time-resolved decoding method to electroencephalography (EEG) collected from human subjects presented with grating visual stimuli to estimate the timescale of individual stimulus features. We observed that the orientation and color of the stimuli were encoded in shorter timescales, whereas spatial frequency and the contrast of the same stimuli were encoded in longer timescales. The stimulus features appeared in temporally overlapping windows along the trial supporting a multiplexed coding strategy. These results provide evidence for a multiplexed, multiscale coding strategy in the human visual system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08997667
Volume :
36
Issue :
3
Database :
Academic Search Index
Journal :
Neural Computation
Publication Type :
Academic Journal
Accession number :
175495436
Full Text :
https://doi.org/10.1162/neco_a_01649