@article{d67d46519dea456090f37d92d805c64d,
title = "Distinct ventral stream and prefrontal cortex representational dynamics during sustained conscious visual perception",
abstract = "Instances of sustained stationary sensory input are ubiquitous. However, previous work focused almost exclusively on transient onset responses. This presents a critical challenge for neural theories of consciousness, which should account for the full temporal extent of experience. To address this question, we use intracranial recordings from ten human patients with epilepsy to view diverse images of multiple durations. We reveal that, in sensory regions, despite dramatic changes in activation magnitude, the distributed representation of categories and exemplars remains sustained and stable. In contrast, in frontoparietal regions, we find transient content representation at stimulus onset. Our results highlight the connection between the anatomical and temporal correlates of experience. To the extent perception is sustained, it may rely on sensory representations and to the extent perception is discrete, centered on perceptual updating, it may rely on frontoparietal representations.",
keywords = "CP: Neuroscience, discrete perception, distributed coding, neural adaptation, neural correlates of consciousness, perceptual awareness, representation, representational drift, time-consciousness, visual perception",
author = "Gal Vishne and Gerber, {Edden M.} and Knight, {Robert T.} and Deouell, {Leon Y.}",
note = "Funding Information: We are grateful to members of the Human Cognitive Neuroscience Laboratory (HCNL) and to A.N. Landau and members of the Brain, Attention, & Time Lab for insight and support throughout the study; R. Malach and R. Broday-Dvir for helpful discussions; and H.T. Vishne for multiple late nights of assistance with figures. We thank patients who participated in the experiment and J. Parvizi, R.A. Kuperman, K.I. Auguste, P. Weber, K. Laxer, D. King-Stephens, and E.F. Chang for enabling data collection from their patients. This work is dedicated to the memory of Mrs. Lily Safra, a great supporter of brain research. G.V. is supported by the Azrieli Foundation graduate fellowship. L.Y.D. is supported by the Jack H. Skirball research fund. This study was supported by US-Israel Binational Science Foundation grant 2013070 (awarded to L.Y.D. and R.T.K.) and National Institute of Neurological Disorders and Stroke grant 2 R01 NS021135 (R.T.K.). Funding Information: We are grateful to members of the Human Cognitive Neuroscience Laboratory (HCNL) and to A.N. Landau and members of the Brain, Attention, & Time Lab for insight and support throughout the study; R. Malach and R. Broday-Dvir for helpful discussions; and H.T. Vishne for multiple late nights of assistance with figures. We thank patients who participated in the experiment and J. Parvizi, R.A. Kuperman, K.I. Auguste, P. Weber, K. Laxer, D. King-Stephens, and E.F. Chang for enabling data collection from their patients. This work is dedicated to the memory of Mrs. Lily Safra, a great supporter of brain research. G.V. is supported by the Azrieli Foundation graduate fellowship. L.Y.D. is supported by the Jack H. Skirball research fund. This study was supported by US-Israel Binational Science Foundation grant 2013070 (awarded to L.Y.D. and R.T.K.) and National Institute of Neurological Disorders and Stroke grant 2 R01 NS021135 (R.T.K.). G.V. and L.Y.D. conceptualized and designed the study and methodology. L.Y.D. and E.M.G. designed the experiment. L.Y.D. E.M.G. and R.T.K. collected and curated the data. G.V. performed formal analysis, model development, programming, and visualization. G.V. and L.Y.D. wrote the manuscript, and R.T.K. reviewed it. L.Y.D. and R.T.K. provided funding for the study. L.Y.D. supervised the study. L.Y.D. is the co-founder and shareholder of, and receives compensation for consultation from Innereye, Ltd. a startup neurotech company. The company business is not related to the current study. L.Y.D. is the co-inventor of Israel patent no. 256068 (2018), US patent no. 10,948,990 (2021), and US patent no. 10,694,968 (2021). The patents are not related to the current study. Publisher Copyright: {\textcopyright} 2023 The Author(s)",
year = "2023",
month = jul,
day = "25",
doi = "https://doi.org/10.1016/j.celrep.2023.112752",
language = "English",
volume = "42",
journal = "Cell Reports",
issn = "2211-1247",
publisher = "Cell Press",
number = "7",
}