U
Uri Hasson
Researcher at Princeton University
Publications - 221
Citations - 21236
Uri Hasson is an academic researcher from Princeton University. The author has contributed to research in topics: Computer science & Recall. The author has an hindex of 61, co-authored 203 publications receiving 16982 citations. Previous affiliations of Uri Hasson include Weizmann Institute of Science & University of Trento.
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Intersubject Synchronization of Cortical Activity During Natural Vision
TL;DR: A striking level of voxel-by-voxel synchronization between individuals is found, not only in primary and secondary visual and auditory areas but also in association cortices, which reveals a surprising tendency of individual brains to “tick collectively” during natural vision.
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Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex
TL;DR: In this paper, single unit activity and local field potentials in auditory cortex of two neurosurgical patients and compared them with the fMRI signals of 11 healthy subjects during presentation of an identical movie segment.
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Brain-to-Brain coupling: A mechanism for creating and sharing a social world
Uri Hasson,Asif A. Ghazanfar,Bruno Galantucci,Bruno Galantucci,Simon Garrod,Simon Garrod,Christian Keysers,Christian Keysers +7 more
TL;DR: It is argued that in many cases the neural processes in one brain are coupled to the neural Processes in another brain via the transmission of a signal through the environment, leading to complex joint behaviors that could not have emerged in isolation.
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Speaker–listener neural coupling underlies successful communication
TL;DR: This paper used fMRI to record brain activity from both speakers and listeners during natural verbal communication and found that the speaker's activity is spatially and temporally coupled with the listener's activity.
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A Hierarchy of Temporal Receptive Windows in Human Cortex
TL;DR: There is a hierarchy of progressively longer temporal receptive windows in the human brain, similar to the known cortical hierarchy of spatial receptive fields, which identifies brain regions responsive to sensory information accumulated over different time scales.