Abstract task representations for inference and control

Published on April 23, 2022

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!

Behavioral flexibility depends on our capacity to build and leverage abstract knowledge about tasks. Recently, two separate lines of research have implicated distinct brain networks in representing abstract task information: a frontoparietal cortical network, and a network involving the medial temporal lobe (MTL), medial prefrontal, and orbitofrontal cortex (OMPFC). These observations have mostly been made in parallel, with little attempt to understand their relationship. Here, we hypothesize that abstract task representations in these networks differ primarily in format, not content.

Read Full Article (External Site)

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes:

<a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>