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Simple molecular properties such as the polarity of membranes determine the initial neurological connections. Neurons usually end up being near clusters of neurons with similar functions, and this strongly increases the computational power of the neurons. The neurons have multiple connections to different networks and each neuron can process a lot of information. The changing of connections appears to have a major correlation with learning. It is unclear exactly how they become clustered, and if they become clustered immediately or if they have a more random arrangement at first. Before the eye opens a lot of neural clusters are formed, and the clustering is usually complete in mice before the eyes open(as in the context of development). Due to the connections becoming more uniform over time, the older mice had connections that appeared more random than the younger mice. The synapses organized into domains appeared to be the most in sync with their neighbors. There can be around 10 total connections per neuron. 

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