Data from: A map of abstract relational knowledge in the human hippocampal–entorhinal cortex

The hippocampal–entorhinal system encodes a map of space that guides
spatial navigation. Goal-directed behaviour outside of spatial navigation
similarly requires a representation of abstract forms of relational
knowledge. This information relies on the same neural system, but it is
not known whether the organisational principles governing continuous maps
may extend to the implicit encoding of discrete, non-spatial graphs. Here,
we show that the human hippocampal–entorhinal system can represent
relationships between objects using a metric that depends on associative
strength. We reconstruct a map-like knowledge structure directly from a
hippocampal–entorhinal functional magnetic resonance imaging adaptation
signal in a situation where relationships are non-spatial rather than
spatial, discrete rather than continuous, and unavailable to conscious
awareness. Notably, the measure that best predicted a behavioural
signature of implicit knowledge and blood oxygen level-dependent
adaptation was a weighted sum of future states, akin to the successor
representation that has been proposed to account for place and grid-cell
firing patterns.