A mesa rather than a peak? - a fitness landscape on weight space of an application using spiking neurons under rate coding

We simulate an associative memory model using spiking neurons. Those models in which we specify interaction among McCulloch-Pitts neurons by a Hebbian-like learning algorithm, for example, already exist. The Hopfield model is one of these examples. Though we have still many unknown issues in the Hopfield model of associative memory, we have some inevitable drawbacks as well, such as small storage capacity. To overcome these drawbacks, and more importantly, to be more biologically plausible, we explore the model using spiking neurons