Publications

Meenakshi Khosla, Alex Williams (2023). Soft Matching Distance: A metric on neural representations that captures single-neuron tuning. NeurIPS UniReps.

Meenakshi Khosla, Alex Williams, Josh McDermott, Nancy Kanwisher (2023). Privileged representational axes in biological and artificial neural networks.

Meenakshi Khosla, Leila Wehbe (2023). Higher visual areas act like domain-general filters with strong selectivity and functional specialization.

Nancy Kanwisher, Meenakshi Khosla, Katharina Dobs (2023). Using artificial neural networks to ask ‘why’questions of minds and brains. Trends in Neurosciences.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert Sabuncu (2022). Characterizing the ventral visual stream with response-optimized neural encoding models. In NeurIPS (Oral).

Meenakshi Khosla, N Apurva Ratan Murty, Nancy Kanwisher (2022). A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition. Current Biology.

Gia H Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert Sabuncu (2022). Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network. NeuroImage.

Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick Kay, Mert Sabuncu, Amy Kuceyeski (2022). NeuroGen: Activation optimized image synthesis for discovery neuroscience. NeuroImage.

Meenakshi Khosla, Gia H Ngo, Keith Jamison, Amy Kuceyeski, Mert Sabuncu (2021). Cortical response to naturalistic stimuli is largely predictable with deep neural networks. Science Advances.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert Sabuncu (2020). Neural encoding with visual attention. In NeurIPS (Oral).

Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert Sabuncu (2020). From connectomic to task-evoked fingerprints: Individualized prediction of task contrasts from resting-state functional connectivity. In MICCAI (Oral).

Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert Sabuncu (2020). A shared neural encoding model for the prediction of subject-specific fMRI response. In MICCAI (Oral).

Meenakshi Khosla, Keith Jamison, Gia H Ngo, Amy Kuceyeski, Mert Sabuncu (2019). Machine learning in resting-state fMRI analysis. Magnetic resonance imaging.

Meenakshi Khosla, Keith Jamison, Gia H Ngo, Amy Kuceyeski, Mert Sabuncu (2019). Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction. NeuroImage.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert Sabuncu (2018). 3D convolutional neural networks for classification of functional connectomes. In MICCAI DLMIA workshop.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert Sabuncu (0001). Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. In MICCAI MLMI workshop.