Correction for Richter and Schneidman, Building the connectome of a small brain with a simple stochastic developmental generative model

Key Points

• The connectome of the small brain is analyzed, revealing intricate neural pathways critical for functionality.
• Key evidence shows that the model explains variations in neuronal connections across different scenarios.
• This observational analysis employs a stochastic developmental generative model to simulate brain connectivity.
• These findings highlight the potential for enhanced understanding of neural networks, though applicability in larger brains remains uncertain.