Topic: ground truth datasets

Calcium imaging is a key method to record from identified neurons in the living brain. To infer spiking activity from neuronal calcium signals, we have previously developed CASCADE, a method based on supervised deep learning1. To train the algorithm, we assembled a database of simultaneous calcium and electrophysiological recordings from the same neurons in several brain regions in mouse and zebrafish1. Here, we provide additional datasets and analyses. First, we now include ground truth datasets recorded from excitatory and inhibitory neurons of mouse spinal cord. A CASCADE model for spike in