A Theory of Local Learning, the Learning Channel, and the Optimality of Backpropagation

22 Jun 2015Pierre BaldiPeter Sadowski

In a physical neural system, where storage and processing are intimately intertwined, the rules for adjusting the synaptic weights can only depend on variables that are available locally, such as the activity of the pre- and post-synaptic neurons, resulting in local learning rules. A systematic framework for studying the space of local learning rules is obtained by first specifying the nature of the local variables, and then the functional form that ties them together into each learning rule... (read more)

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