Abstract task representations for inference and control

Just as different languages have their own unique grammatical structures and vocabulary, our brains have distinct networks for representing abstract task information. Recent research has uncovered two separate networks involved in this process: a frontoparietal cortical network and a network including the medial temporal lobe (MTL), medial prefrontal cortex, and orbitofrontal cortex (OMPFC). These networks have been studied independently, but now scientists are starting to unravel how they work together. The fascinating hypothesis is that these networks differ in the way they format task representations, rather than the content they hold. Think of it like two people each having a different method for organizing a set of instructions – they may have different formats, but both can ultimately achieve the same goal. Understanding the intricate workings of these networks could shed light on how our brains adapt and flexibly navigate various tasks. To dive deeper into this captivating research, check out the full article!