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Neural network learning is typically treated as the problem of setting synaptic connection strengths to better perform a task. This requires supervision. However, anatomical data suggest that direct synaptic modification by such a supervisor circuit would be unfeasible. We investigate supervision at the level of neurons rather than synapses. By modulating the response properties of cells in the network,...
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