Data and models for : Shared latent representation enables cross-individual translation of spontaneous brain activity

This repository contains data and model files used in the article Shared latent representation enables cross-individual translation of spontaneous brain activity. You can find the code to create those files and use them to produce the article figures here. Whole‑brain Single‑Cell Datasets WBSC.zip Archive of recorded whole‑brain single‑neuron binarized spike trains and 3D neuron coordinates. Each file is the form DATA_<FishName>.h5. Voxelized Datasets Voxelized.zip Voxelized brain‑activity datasets (various resolutions). Voxelgrids.zip Corresponding voxel‑grid geometry files used to map activity onto brain volumes. Pretrained Voxelized RBMs vRBMr_multivoxelized_6fish_20.0vox_M40_l2l10.1.h5 Main pretrained RBM for the multi‑fish voxelized dataset (20μm voxels). CrossValidation.zip RBMs trained for cross‑validation experiments on voxelized data from 1 fish. Repeats.zip Multiple training repeats of voxelized RBMs to assess variability. Pretrained Single‑Cell RBMs bRBMs.zip Trained RBMs for individual fish using whole‑brain single‑cell data (teachers). biRBMs.zip Trained LaRBMs (students). biRBMs_before_training.zip Initialized but untrained student LaRBMs. Repeats.zip Repeated training runs of single‑cell RBMs. Precomputed Analysis WeightDist_6fish_WBSC_M100_l10.02_l2l10_sigma4_epsilon1.0e-5.h5 Spatial weight‑distribution metrics for whole-brain single-cell RBMs. DeepFakeFreeEnergy_6fish_WBSC_M100_l10.02_l2l10.h5 Free‑energy evaluations of translated neuronal configurations generated from the teacher and student RBMs. DeepFakeTransferMethods_6fish_WBSC_M100_l10.02_l2l10.h5 Analysis of different compute methods to translate neuronal configurations between brains. DeepFakeStats_6fish_WBSC_M100_l10.02_l2l10.h5 Summary statistics for translation analyses. DeepFakeActivityDistance_6fish_WBSC_M100_l10.02_l2l10.h5 Spatial distance metrics between translated neuronal activities.