Holographic associative memory can be considered as a type of artifical neural network, which is having close association with the family of analog, correlation-based, stimulus-responsive memories. In Holographic associative memory, the information is mapped on to the phase orientation of complex numbers operating. The ability of holographs in carrying out effective associative memory tasks, generalization and pattern recognition with changeable attention has given holographic memory the cutting edge over others. Natural memory has the capacity for dynamic search localization. As an example if we take the human visual perception, we the humans always have the tendency to focus on specific objects in pattern, that too we can do it with changing the focus from object to object. The computational model also does the same as the human does it, where the heart of this memory has a novel bi-model representation of pattern and a hologram like complex spherical weight state space. The advantage of this model is unlimited compared to its fast optical realization and underlying hyper-spherical computations.