Intersubject Synchronization of Cortical Activity During Natural Vision

By Uri Hasson, Yuval Nir, Ifat Levy, Galit Fuhrmann, Rafael Malach. Science, 2004

1,822 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5b81e8d0df6fe264cc36ee469055ab87d1cd08d7

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In Cognitive Neuroscience

Citations in the corpus

Default-Mode Activity during a Passive Sensory Task: Uncoupled from Deactivation but Impacting Activation (2004, neutral): “Greicius and Menon 1485 responses to free-running audiovisual stimuli ( Hasson, Nir, Levy, Fuhrmann, & Malach, 2004 ).”
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? (2016, background): “Another example is given in Hasson et al. (2004), in which subjects viewed a movie during fMRI acquisition.”
Attention During Natural Vision Warps Semantic Representation Across the Human Brain (2013, positive): “To maximize our ability to detect tuning changes in single voxels, we used complex natural movie stimuli containing hundreds of different object and action categories 16,17 .”
A continuous semantic space describes the representation of thousands of object and action categories across the human brain (2012, methodology): “Previous studies have shown that natural movies evoke widespread , robust BOLD activity across much of the cortex (Bartels and Zeki, 2004; Hasson et al., 2004, 2008; Haxby et al., 2011; Nishimoto et al., 2011).”
Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision (2016, methodology): “To address this question, we ﬁ rst mapped the cortical activation with natural vision by evaluating the intra-subject reproducibility of fMRI activity when the subjects watched the training movie for the ﬁ rst versus second time (Hasson et al. 2004; Lu et al. 2016).”
The human visual cortex. (2004, background): “Further, the relationship between these findings under constrained lab conditions and free viewing in a more natural ecological vision is only beginning to be addressed (Hasson et al. 2004).”
Building a Science of Individual Differences from fMRI. (2016, background): “Because all subjects watch the same movie, the timecourse of stimulus-related activity in their brains should look similar [190].”
Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience (2008, neutral): “Time-continuous RSA is attractive for studies of time-continuous perception of stimuli, including complex natural stimuli such as movies (Hasson et al., 2004), and, more generally, for studies of time-continuous interactions, such as playing computer games FIGURE 11 | Design efﬁ ciency as a…”
Data-Efficient Mutual Information Neural Estimator (2019, methodology): “To date, most work has measured brain-to-brain synchrony by locating statistically significant inter-subject correlation (ISC); quantified as the Pearson product-moment correlation coefficient between response time series for corresponding voxels or regions of interest (ROIs) across individuals [24,”