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A simplified computational memory model from information processing
2016
Scientific Reports
This paper is intended to propose a computational model for memory from the view of information processing. The model, called simplified memory information retrieval network (SMIRN), is a bimodular hierarchical functional memory network by abstracting memory function and simulating memory information processing. At first meta-memory is defined to express the neuron or brain cortices based on the biology and graph theories, and we develop an intra-modular network with the modeling algorithm by
doi:10.1038/srep37470
pmid:27876847
pmcid:PMC5120294
fatcat:uvp6nvmnw5cjfdpzej2z2zko3e