A minimal model for synaptic integration in simple neurons

Synaptic integration is a prominent aspect of neuronal information processing. The detailed mechanisms that modulate synaptic inputs determine the computational properties any given neuron. We study simple model for summation excitatory from synapses and illustrate its use by characterizing some functional postsynaptic neurons. In this regard, we response neurons as defined to two well known noise driven processes: stochastic coherence resonance. requires small number parameters especially useful isolate role rely on with little dendritic