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Basic learning principles: - opportunity for a neuron to dominate(abstract): 1). already established large connectivity 2). frequent firing to acquire connectivity 3). neurons can form a cluster that always fire together - opportunity to reconnect: 1). synapse weakens over time - neuron potential/energy 1). collect energy from links, based on link strength; 2). excite state if energy is larger than threshold; 3). available energy to distribute is based on state; 4). distribute available energy to all links 5). initial energy source : - inputs firing : strong - random firing : weak - competition for new links 1). each excited neuron connects to the ones with highest energy from previous firing; 2). then collect/distribute new energy; 3). cool down after new connection of the next round - how to suppress duplicated firing? If a pattern is already recognized, then do not allow new neuron to repeat the same connectivity. Use a look-up table of firing signatures; if same signature exist, higher energy neuron survive.