A Stochastic Resonance Memory Mechanism of Hippocampus

Abstract

Using the hippocampal cell channel model, the transmission features of hippocampal system are under the research. The process of memory is simulated by stochastic resonance. By synaptic model, the hippocampus model is constructed, which analyzes the summation of postsynaptic currents in the network. The strong capacity of spatiotemporal encoding in the network indicates the features of CA3 network during the information transmission process in the hippocampus. Analyzing the memory expression in CA1 under PP signal from entorhinal cortex or SC postsynaptic current respectively, results show that the reason is that single subthreshold signal cannot cause memory and stochastic resonance of them. The modeling result with time delay of the synaptic transmission is in accordance with the experimental phenomena of action potential in the hippocampus.