Before revision:  Thereby, we enable the neuroscientist user to study the learned association of the LSTM between the data and the cognitive state of the individual. We demonstrate the versatility of DLight by applying it to a large fMRI dataset of the Human Connectome Project.
After revision:  Thereby, decomposing its decoding decision into the contributions of the single input voxels to this decision. Importantly, the decomposition is performed on the level of single fMRI volumes, enabling DeepLight to study the associations between cognitive state and brain activity on several levels of data granularity, from the level of the group down to the level of single time points. To demonstrate the versatility of DLight by applying it to a large fMRI dataset of the Human Connectome Project.