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Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.

, и . UniReps, том 243 из Proceedings of Machine Learning Research, стр. 326-341. PMLR, (2023)

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Meenakshi Mishra

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Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models., , , и . NeurIPS, (2022)NeuroGen: Activation optimized image synthesis for discovery neuroscience., , , , , , , , , и . NeuroImage, (2022)NeuroGen: activation optimized image synthesis for discovery neuroscience., , , , , , , , и . CoRR, (2021)Neural encoding with visual attention., , , , и . NeurIPS, (2020)Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach., , , и . MLMI@MICCAI, том 11861 из Lecture Notes in Computer Science, стр. 301-309. Springer, (2019)Soft Matching Distance: A metric on neural representations that captures single-neuron tuning., и . UniReps, том 243 из Proceedings of Machine Learning Research, стр. 326-341. PMLR, (2023)3D Convolutional Neural Networks for Classification of Functional Connectomes., , , и . DLMIA/ML-CDS@MICCAI, том 11045 из Lecture Notes in Computer Science, стр. 137-145. Springer, (2018)A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response., , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 539-548. Springer, (2020)From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity., , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 62-71. Springer, (2020)