Certain aspects of the present disclosure support a technique for efficient implementation of neural population diversity in neural systems. A set of parameters for each class of artificial neurons of a plurality of classes can be stored in a storage medium. A generator can be configured to obtain noise parameters for each class of artificial neurons in the neural system. After that, the noise parameters can be combined with the set of parameters for each class of artificial neurons to obtain a dithered set of parameters for each class of artificial neurons. The dithered set of parameters can be stored for each class of artificial neurons to be used for a neuron model for the artificial neurons that emulates behavior of the artificial neurons in the neural system.
EFFICIENT IMPLEMENTATION OF NEURAL POPULATION DIVERSITY IN NEURAL SYSTEM