LITcoder introduces a modular open-source library for constructing, benchmarking, and comparing neural encoding models that map continuous stimuli such as stories to fMRI brain data.
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Kay, Thomas Naselaris, Ryan J
2 Pith papers cite this work, alongside 1,377 external citations. Polarity classification is still indexing.
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LITcoder: A General-Purpose Library for Building and Comparing Encoding Models
LITcoder introduces a modular open-source library for constructing, benchmarking, and comparing neural encoding models that map continuous stimuli such as stories to fMRI brain data.
- From Activation to Specificity: Automating Counterfactual Testing of Visual Representations in the Human Brain