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Use DNNs to build encoding models of EEG visual responses.
Trained encoding models to generate in silico neural responses for arbitrary stimuli.
Load and model the brain data of the Algonauts Project 2023 Challenge.
Code to reproduce the results from the NSD-synthetic data release paper.
Python code for decoding EEG motor imagery conditions using a convolutional neural network.
Algorithms to investigate (through neural control) the representational relationships between univariate or multivariate in silico fMRI responses of multiple visual areas of the brain.
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