University of Cambridge > > Inference Group > Capacity of Spiking Neural Networks

Capacity of Spiking Neural Networks

Add to your list(s) Download to your calendar using vCal

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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity