Java: Data Science Made Easy

Holographic associative memory

Holographic Associative Memory (HAM) is a special type of complex neural network. This is a specialized type of network related to natural human memory and visual analysis. This network is especially useful for pattern recognition and associative memory tasks and can be applied to optical computations.

HAM attempts to closely mimic human visualization and pattern recognition. In this network, stimulus-response patterns are learned without iteration and backpropagation of errors is not required. Unlike other networks discussed in this chapter, HAM does not exhibit the same type of connected behaviour. Instead, the stimulus-response patterns can be stored within a single neuron.