Daniel Stainhauser

Learn More
We consider a randomly connected neural network with linear threshold elements which update in discrete time steps. The two main features of the network are: 1) equally distributed and purely excitatory connections and 2) synaptic depression after repetitive ring. We focus on the time evolution of the expected network activity. The 4 types of qualitative(More)
  • 1