Neuromorphic processor and operating method thereof

An operating method of a neuromorphic processor which processes data based on a neural network including a first layer including axons and a second layer including neurons, the method comprising:

• by one or more processors of the neuromorphic processor:
• receiving synaptic weights between the first layer and the second layer;
• decomposing the synaptic weights into presynaptic weights and postsynaptic weights, a number of the presynaptic weights is identical to a number of the axons, and a number of the postsynaptic weights is identical to a number of the synaptic weights;
• and
• storing, in a synapse memory storage, the presynaptic weights and the postsynaptic weights,
• wherein a precision of each of the synaptic weights is a first number of bits, a precision of each of the presynaptic weights is a second number of bits, and a precision of each of the postsynaptic weights is a third number of bits, and
• wherein the third number of the bits is smaller than the first number of the bits.