Yulia Lerner
Affiliations: | New York University, New York, NY, United States |
Area:
Neurobiology, visual systemGoogle:
"Yulia Lerner"Mean distance: 15.61 (cluster 29) | S | N | B | C | P |
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Publications
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Eisenstein T, Giladi N, Hendler T, et al. (2022) Neural Synchrony During Naturalistic Information Processing Is Associated With Aerobically Active Lifestyle and Cardiorespiratory Fitness in Cognitively Intact Older Adults. Frontiers in Human Neuroscience. 16: 906099 |
Lerner Y, Scherf SK, Katkov M, et al. (2021) Changes in Cortical Coherence Supporting Complex Visual and Social Processing in Adolescence. Journal of Cognitive Neuroscience. 1-16 |
Lerner Y, Bleich-Cohen M, Madah W, et al. (2017) Neural modulations in processing of natural information in patients with schizophrenia and their unaffected siblings European Psychiatry. 41: s819-s819 |
Yogev-Seligmann G, Oren N, Ash EL, et al. (2016) Altered Topology in Information Processing of a Narrated Story in Older Adults with Mild Cognitive Impairment. Journal of Alzheimer's Disease : Jad |
Farbood MM, Heeger DJ, Marcus G, et al. (2015) The neural processing of hierarchical structure in music and speech at different timescales. Frontiers in Neuroscience. 9: 157 |
Lerner Y, Honey CJ, Katkov M, et al. (2014) Temporal scaling of neural responses to compressed and dilated natural speech. Journal of Neurophysiology. 111: 2433-44 |
Honey CJ, Thompson CR, Lerner Y, et al. (2012) Not lost in translation: neural responses shared across languages. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 15277-83 |
Ben-Yakov A, Honey CJ, Lerner Y, et al. (2012) Loss of reliable temporal structure in event-related averaging of naturalistic stimuli. Neuroimage. 63: 501-6 |
Lerner Y, Honey CJ, Silbert LJ, et al. (2011) Topographic mapping of a hierarchy of temporal receptive windows using a narrated story. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 2906-15 |
Lerner Y, Epshtein B, Ullman S, et al. (2008) Class information predicts activation by object fragments in human object areas. Journal of Cognitive Neuroscience. 20: 1189-206 |