A cerebellar internal model calibrates a feedback controller involved in sensorimotor control

This upload contains datasets from the manuscript by Markov et al., 2021 "A cerebellar internal model calibrates a feedback controller involved in sensorimotor control" (preprint here; the code used to acquire and process these data can be found here). The datasets are organized in the following zip folders: <strong>behavioral_data.zip</strong> contains data from acute reaction and long-term adaptation experiments for wild-type control, treatment control, and Purkinje-cell-ablated zebrafish larvae <strong>feedback_control_model.zip</strong> contains parameters of the model after fitting it to the data acquired during the acute reaction experiment. <strong>PC_ablation_quantification.zip</strong> contains confocal images of the cerebella of zebrafish larvae before and after pharmaco-genetic ablation of Purkinje cells. <strong>reference_brain_stacks.zip</strong> contains z-stacks used for anatomical registration of the functional imaging data <strong>whole_brain_imaging_inetgrators.zip</strong> contains whole-brain light-sheet data acquired while zebrafish larvae were performing optomotor response to forward moving grating. This dataset was used to identify sensory integrators in the larval zebrafish brain <strong>PC_imaging_long_term_adaptation.zip</strong> contains light-sheet recordings of Purkinje cell activity acquired during long-term adaptation to lagged visual feedback. This dataset was used to identify signatures of internal models in the Purkinje cell activity. <strong>whole_brain_imaging_long_term_adaptation.zip</strong> contains whole-brain light-sheet recordings during long-term adaptation to lagged visual feedback. This dataset was used to study correlates of the long-term adaptation in the entire brain (such as change in sensory integration time constants). For any question about the data, please write at [e-mail] or [e-mail].