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Capacity of Spiking Neural Networks

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If you have a question about this talk, please contact Emli-Mari Nel.

This work-in-progress talk will look at the information capacity of a spiking neural network. Information is coded using small patterns of spikes. The patterns are stored in the network using transmission delays.

We use a neural model which emphasizes simplicity over biological realism as this allows the relationships of the different parameters to be explored.

This talk is part of the Inference Group series.

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