The invention discloses a neuromorphic calculation circuit based on a multi-bit parallel binary
synapse array. The neuromorphic calculation circuit comprises a neural
axon module, the multi-bit parallel binary RRAM
synapse array, a time division
multiplexer, a plurality of integrators and a shared successive approximation analog-to-
digital converter, wherein the neural
axon module comprises two basic units, namely a
time sequence scheduler and an
adder, and the
time sequence scheduler is used for arranging the
time sequence of signals, so that input signals are sequentially input into a multi-bit parallel binary RRAM
synapse array by adopting a dendritic priority strategy; the
adder is used for expanding the array scale, and when the configured neural network input layer is greater than the input of one RRAM array, the
adder is used for adding the calculation results of the plurality of arrays to obtain the output of the
network layer. Compared with the current
system, the method has the advantages of high precision and low
power consumption, can be configured into most deep neural network applications, and is particularly suitable for being deployed in
edge computing equipment with
high energy consumption requirements.