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Meenakshi Khosla

Showing results (1-10 of 14) with videos related to

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Nature Communications|June 12, 2026
Higher visual areas act like domain-general filters with strong selectivity and functional specializationMeenakshi Khosla, Leila Wehbe
Trends in Neurosciences|January 19, 2023
Using artificial neural networks to ask 'why' questions of minds and brainsNancy Kanwisher, Meenakshi Khosla, Katharina Dobs
Scientific Reports|June 1, 2018
Polarons Explain Luminescence Behavior of Colloidal Quantum Dots at Low TemperatureMeenakshi Khosla, Sravya Rao, Shilpi Gupta
Current Biology : CB|August 26, 2022
A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decompositionMeenakshi Khosla, N Apurva Ratan Murty, Nancy Kanwisher
Neuroimage|June 21, 2019
Ensemble learning with 3D convolutional neural networks for functional connectome-based predictionMeenakshi Khosla, Keith Jamison, Amy Kuceyeski, et al.
BMJ (Clinical Research Ed.)|April 23, 2002
Global alliance on vaccines and immunizations. Vaccine promotion is circumventing market forcesR K Ojha, Jacob Abraham, Meenakshi Khosla, et al.
Journal of Religion and Health|November 20, 2016
Revalidation of the Sat-Chit-Ananda ScaleKamlesh Singh, Pulkit Khanna, Meenakshi Khosla, et al.
Neuroimage|December 29, 2021
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional networkGia H Ngo, Meenakshi Khosla, Keith Jamison, et al.
Magnetic Resonance Imaging|June 8, 2019
Machine learning in resting-state fMRI analysisMeenakshi Khosla, Keith Jamison, Gia H Ngo, et al.
Science Advances|May 29, 2021
Cortical response to naturalistic stimuli is largely predictable with deep neural networksMeenakshi Khosla, Gia H Ngo, Keith Jamison, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Nature Communications|June 12, 2026
Higher visual areas act like domain-general filters with strong selectivity and functional specializationMeenakshi Khosla, Leila Wehbe
Trends in Neurosciences|January 19, 2023
Using artificial neural networks to ask 'why' questions of minds and brainsNancy Kanwisher, Meenakshi Khosla, Katharina Dobs
Scientific Reports|June 1, 2018
Polarons Explain Luminescence Behavior of Colloidal Quantum Dots at Low TemperatureMeenakshi Khosla, Sravya Rao, Shilpi Gupta
Current Biology : CB|August 26, 2022
A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decompositionMeenakshi Khosla, N Apurva Ratan Murty, Nancy Kanwisher
Neuroimage|June 21, 2019
Ensemble learning with 3D convolutional neural networks for functional connectome-based predictionMeenakshi Khosla, Keith Jamison, Amy Kuceyeski, et al.
BMJ (Clinical Research Ed.)|April 23, 2002
Global alliance on vaccines and immunizations. Vaccine promotion is circumventing market forcesR K Ojha, Jacob Abraham, Meenakshi Khosla, et al.
Journal of Religion and Health|November 20, 2016
Revalidation of the Sat-Chit-Ananda ScaleKamlesh Singh, Pulkit Khanna, Meenakshi Khosla, et al.
Neuroimage|December 29, 2021
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional networkGia H Ngo, Meenakshi Khosla, Keith Jamison, et al.
Magnetic Resonance Imaging|June 8, 2019
Machine learning in resting-state fMRI analysisMeenakshi Khosla, Keith Jamison, Gia H Ngo, et al.
Science Advances|May 29, 2021
Cortical response to naturalistic stimuli is largely predictable with deep neural networksMeenakshi Khosla, Gia H Ngo, Keith Jamison, et al.
Pageof 2