Holographic memory, required for complex artificial general intelligence (AGI) data handling, enables advanced perception of multidimensional information. This paper proposes a brain-inspired ‘holographic’ memory system that reliably processes raw pixels inputs. By mimicking neural microcircuits, it achieves energy efficiency and employs a self-regulating process for low-power operation. Trained with cutting-edge learning methods, it shows a capacity for strategic planning and prediction. This allows a robot with an incorporated ‘holographic mind’ to process live visual input, perceive dimensional information and respond with human-like look ahead capacity in dynamic game situations.