The invention discloses a digital-analog hybrid neural network chip architecture. The architecture comprises a two-dimensional SRAM module, an analog synaptic circuit, a nerve cell circuit, an AER communication module, and a master control digital unit. The two-dimensional SRAM module is taken as a storage unit of neural network connection relation and a synaptic weight value. The analog synaptic circuit and the nerve cell circuit respectively consist of an MOSFET circuit working in a subthreshold section. The AER communication module serves as the input and output interfaces of a chip, and employs an AER protocol for communication. All control circuits in the architecture are synchronous digital circuits. The architecture is low in power consumption, is high in degree of parallelism, and can achieve a neural network algorithm in a reasonable chip area, wherein the neural network algorithm is more complex in nerve cell functions, is larger in network scale, and is more flexible in connection.