Periodic Reporting for period 3 - ContentMAP (Contentotopic mapping: the topographical organization of object knowledge in the brain)
Okres sprawozdawczy: 2022-02-01 do 2023-07-31
Our preliminary data suggests that 1) our object-related dimensions are used as organizing principles for neural data, in that decoding of object-specific neural patterns is influenced by object-specific score in these dimensions; and that 2) these dimensions drive a topography organization of information - what we call contentotopy, in that when we use visual mapping techniques such as population receptive field we obtain continuous maps in different areas. We have also developed a parallel (and not originally proposed in the Action) line of research focusing also on the organization of object knowledge in the brain and particularly on the role of connectivity in how conceptual information is processed and organized. Here, we have shown that object-related local computations are shaped by long-range connectivity with regions that share high-level object preferences in order to fulfill particular cognitive demands.