Predicting Neuron Cell Types from Whole-Brain Connectivity

Asks how much of a neuron's identity is recoverable from wiring alone: 139,246 FlyWire v783 neurons are classified into their super-class from 171 features - partner and synapse counts, cell size, the neurotransmitter mix of the outputs, and the fraction of input and output synapses in each of 79 neuropils. The split is stratified 70/15/15, every model choice is made on the validation set, and the test set is read once at the end. The very skewed class balance is published up front, with optic at 55.9% and endocrine at 0.06%.

Official site ↗

#flywire#machine-learning#cell-types#neuropil#class-imbalance