Hello list, I have an idea for evolving neural networks that are good at learning spatial and temporal patterns. However, to implement it, I need a model for a spiking neural net, such that each neuron has several different parameters affecting its operation (I will then use genetic algorithms to modify these parameters). The richer the behaviour of the neurons the better. Can someone direct me to a suitable resource? I would be pleased to provide more details if anyone's interested - my goal is to create networks which can learn more than one sort of information (say, visual and audio) at once, and even do some form of induction on this information.
Nathan Cook ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?list_id=303
