Oscillatory Encoding of Visual Stimulus Familiarity
- Samuel T. Kissinger1,*,
- Alexandr Pak1,*,
- Yu Tang1,
- Sotiris C. Masmanidis2, and
- Alexander A. Chubykin1
- 1Department of Biological Sciences, Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, Indiana 47907 and
- 2Department of Neurobiology, David Geffen School of Medicine, California Nanoscience Institute, University of California, Los Angeles, Los Angeles, California 90095
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Author contributions: S.T.K., A.P., and A.A.C. designed research; S.T.K., A.P., and Y.T. performed research; S.C.M. contributed unpublished reagents/analytic tools; S.T.K., A.P., Y.T., and A.A.C. analyzed data; S.T.K., A.P., and A.A.C. wrote the paper.
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↵*S.T.K. and A.P. contributed equally to this study as co-first authors.
Abstract
Familiarity of the environment changes the way we perceive and encode incoming information. However, the neural substrates underlying this phenomenon are poorly understood. Here we describe a new form of experience-dependent low-frequency oscillations in the primary visual cortex (V1) of awake adult male mice. The oscillations emerged in visually evoked potentials and single-unit activity following repeated visual stimulation. The oscillations were sensitive to the spatial frequency content of a visual stimulus and required the mAChRs for their induction and expression. Finally, ongoing visually evoked θ (4–8 Hz) oscillations boost the visually evoked potential amplitude of incoming visual stimuli if the stimuli are presented at the high excitability phase of the oscillations. Our results demonstrate that an oscillatory code can be used to encode familiarity and serves as a gate for oncoming sensory inputs.
SIGNIFICANCE STATEMENT Previous experience can influence the processing of incoming sensory information by the brain and alter perception. However, the mechanistic understanding of how this process takes place is lacking. We have discovered that persistent low-frequency oscillations in the primary visual cortex encode information about familiarity and the spatial frequency of the stimulus. These familiarity evoked oscillations influence neuronal responses to the oncoming stimuli in a way that depends on the oscillation phase. Our work demonstrates a new mechanism of visual stimulus feature detection and learning.
- Received December 28, 2017.
- Revision received June 2, 2018.
- Accepted June 4, 2018.
- Copyright © 2018 the authors 0270-6474/18/386223-18$15.00/0





