Meenakshi Khosla

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Functional Connectivity

Granger Causality

Unsupervised Learning

Top Venues

Publications

Meenakshi Khosla, Alex H. Williams
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning. UniReps (2023)
Meenakshi Khosla, Alex H. Williams
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning. CoRR (2023)
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network. NeuroImage 248 (2022)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models. NeurIPS (2022)
Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski
NeuroGen: Activation optimized image synthesis for discovery neuroscience. NeuroImage 247 (2022)
Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski
NeuroGen: activation optimized image synthesis for discovery neuroscience. CoRR (2021)
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity. CoRR (2020)
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity. MICCAI (7) (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
A shared neural encoding model for the prediction of subject-specific fMRI response. CoRR (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response. MICCAI (7) (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Neural encoding with visual attention. NeurIPS (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Neural encoding with visual attention. CoRR (2020)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction. NeuroImage 199 (2019)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach. MLMI@MICCAI (2019)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. CoRR (2019)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
3D Convolutional Neural Networks for Classification of Functional Connectomes. DLMIA/ML-CDS@MICCAI (2018)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
3D Convolutional Neural Networks for Classification of Functional Connectomes. CoRR (2018)
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu
Machine learning in resting-state fMRI analysis. CoRR (2018)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Ensemble learning with 3D convolutional neural networks for connectome-based prediction. CoRR (2018)