The brain comprises billions of interconnected neurons that transmit and process information and allow it to act as a highly sophisticated information processing system. To make it as efficient as possible, the brain develops multiple modules tasked with different functions, like perception and body control. Within a single area, neurons form multiple clusters and function as modules—an important trait that has remained essentially unchanged throughout evolution.
Still, many unanswered questions remain regarding how the specific structure of the brain’s network, such as the modular structure, works together with the physical and chemical properties of neurons to process information.
Reservoir computing is a computational model inspired by the brain’s powers, where the reservoir comprises a large number of interconnected nodes that transform input signals into a more complex representation.
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