InfoMax Theory

InfoMax Theory is a principle in information theory suggesting that systems, such as neural networks or biological brains, aim to transmit or maximize the amount of useful information they process. Essentially, these systems are organized to handle the most relevant and diverse data possible, enhancing learning and adaptation. By prioritizing the maximization of information, they become more efficient at understanding complex inputs, leading to better decision-making, recognition, or perception. This concept helps explain how natural and artificial systems optimize their internal processes to manage and interpret vast amounts of data effectively.