Abstract Abstract: To understand the underlying mechanism of reliable neural information processing in noise, the neuronal model was adopted to build neuronal network and its activities of synchronized firing and characteristics of antiinference were analyzed. The degree of synchronization and ability of antiinterference were quantified and the relation between them was discussed. The simulation results show that the scales of neuronal network and strength of coupling have remarkable effects both on synchronization and antiinterference; under some conditions, the ability of antiinference is almost linear with the degree of neuronal synchronization. Therefore, it is concluded that neuronal synchronization can reduce noise and execute reliable information coding and processing in the brain.
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