Table 1.

Datasets provided in the Neural Connectomics Challenge. Each dataset contains three types of information: 1. neuronal activity in the form of Ca fluorescence signals, 2. the ground truth connectome structure, and 3. the spatial coordinates of neurons.

Networks	# of Neurons	Description
small (6 datasets)	100	six connectomes with 100 neurons
normal (4 datasets)	1000	four connectomes with 1000 neurons
normal3-highrate	1000	normal-3 connectome with a higher neuronal firing frequency
normal4-lownoise	1000	normal-4 connectome with a higher signal-to-noise ratio
highcc	1000	a connectome of 1000 neurons with a higher clustering coefficient
lowcc	1000	a connectome of 1000 neurons with a lower clustering coefficient
highcon	1000	a connectome of 1000 neurons with a higher average connectivity
lowcon	1000	a connectome of 1000 neurons with a lower average connectivity