Perceptual Representation

Perceptual representation research focuses on how sensory information is encoded and processed to enable perception and cognition, aiming to build artificial systems that mirror this ability. Current efforts concentrate on developing efficient algorithms and hardware architectures, such as those leveraging holographic representations and in-memory computing, to handle the high dimensionality and complexity of sensory data. These advancements are driven by the need for energy-efficient and scalable solutions for applications like visual processing in edge devices and improved reinforcement learning, where disentangling relevant features from raw sensory input is crucial for effective learning and generalization. The ultimate goal is to create more robust and human-like artificial intelligence systems.