Abstract
The magnitude of neuronal activation is commonly considered a critical factor for conscious perception of visual content. However, this dogma contrasts with the phenomenon of rapid adaptation, in which the magnitude of neuronal activation drops dramatically in a rapid manner while the visual stimulus and the conscious experience it elicits remain stable. Here, we report that the profiles of multi-site activation patterns and their relational geometry—i.e., the similarity distances between activation patterns, as revealed using intracranial electroencephalographic (iEEG) recordings—are sustained during extended visual stimulation despite the major magnitude decrease. These results are compatible with the hypothesis that conscious perceptual content is associated with the neuronal pattern profiles and their similarity distances, rather than the overall activation magnitude, in human visual cortex.
Original language | English |
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Article number | 112614 |
Number of pages | 20 |
Journal | Cell Reports |
Volume | 42 |
Issue number | 6 |
DOIs | |
Publication status | Published - 27 Jun 2023 |
Bibliographical note
Funding Information:We are grateful to the patients for their kind cooperation. This work was supported by the US-Israel Binational Foundation grant 2017015 (R.M. and A.D.M.) and the CIFAR Tanenbaum Fellowship (R.M.).
Funding Information:
We are grateful to the patients for their kind cooperation. This work was supported by the US-Israel BinationalFoundation grant 2017015 (R.M. and A.D.M.) and the CIFAR Tanenbaum Fellowship (R.M.). R.M. and R.B.-D. conceived the study. R.M. and Y.N. designed the experiment. R.B.-D. analyzed the data. R.M. supervised the analysis. A.D.M. performed the surgeries and supervised the experiments and all aspects of data collection. Y.N. preprocessed the data. M.H. contributed to electrode localization. R.M. and R.B.-D. wrote and edited the paper. The authors declare no competing interests. We support inclusive, diverse, and equitable conduct of research.
Publisher Copyright:
© 2023 The Author(s)
All Science Journal Classification (ASJC) codes
- General Biochemistry,Genetics and Molecular Biology