2019
DOI: 10.1017/s0140525x19002000
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Above and beyond the concrete: The diverse representational substrates of the predictive brain

Abstract: Abstract In recent years, scientists have increasingly taken to investigate the predictive nature of cognition. We argue that prediction relies on abstraction, and thus theories of predictive cognition need an explicit theory of abstract representation. We propose such a theory of the abstract representational capacities that allow humans to transcend the “here-and-now.” Consistent with the predictive cognition literature, we suggest that the representational substrates of t… Show more

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Cited by 105 publications
(88 citation statements)
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References 352 publications
(414 reference statements)
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“…There is some evidence that increasingly abstract language is used to traverse increasingly large spatial and temporal distances: the abstractness of natural language use on Twitter5 increases as a function of the spatial distance between an individual tweeter and a referent location, and as a function of the temporal distance between the present and a referenced point in time (Snefjella & Kuperman, 2015). This accords with work in other domains suggesting that abstraction functions to support "mental travel" across progressively greater spatial and temporal distances (see Gilead et al, 2019;Trope & Liberman, 2010). And if, as we conjecture, the recruitment of top-down control mechanisms in learning and processing abstract concepts has to do, at least in part, with the duration and variability of this spatiotemporal window, then the dynamic activity of the mPFC-HPC network should track a measure of this window in online situated conceptualization-with greater engagement of the network when recognizing a concept whose constituent features are usually more dispersed through space and/or time.…”
Section: Implications For Situated Conceptualizationmentioning
confidence: 62%
“…There is some evidence that increasingly abstract language is used to traverse increasingly large spatial and temporal distances: the abstractness of natural language use on Twitter5 increases as a function of the spatial distance between an individual tweeter and a referent location, and as a function of the temporal distance between the present and a referenced point in time (Snefjella & Kuperman, 2015). This accords with work in other domains suggesting that abstraction functions to support "mental travel" across progressively greater spatial and temporal distances (see Gilead et al, 2019;Trope & Liberman, 2010). And if, as we conjecture, the recruitment of top-down control mechanisms in learning and processing abstract concepts has to do, at least in part, with the duration and variability of this spatiotemporal window, then the dynamic activity of the mPFC-HPC network should track a measure of this window in online situated conceptualization-with greater engagement of the network when recognizing a concept whose constituent features are usually more dispersed through space and/or time.…”
Section: Implications For Situated Conceptualizationmentioning
confidence: 62%
“…More broadly, the analogies between geometric spaces and cognitive ones needs to be explored further, as is beginning to be done via geometric information theory (Balduzzi and Tononi, 2009;Oizumi et al, 2016;Sengupta et al, 2016;Calcagni, 2018). Indeed, the notion of spaces with different geometry has been pursued both in the neuroscience of perception and representation (Zhou et al, 2018b;Gilead et al, 2019) and in developmental biology of patterning (Jaeger et al, 2008;Jaeger and Monk, 2014). It may even be possible to go backwards, asking what cognitive structure accompanies a particular space-time geometry -a concept that might have been presaged by Newton's concept of space being the "Sensorium of God".…”
Section: Predictions and Research Programmentioning
confidence: 99%
“…For our theory, we have chosen the name many-to-one to depict the reduction in counterfactual or temporal depth 1 (Corcoran et al, 2019)-the tendency to abstract away from the present moment (Gilead et al, 2019)-that occurs during meditation. There is widespread agreement that information is represented hierarchically in the brain, with early layers of the hierarchy being more temporally precise and concrete, and higher layers being more temporally thick and abstract (Friston, 2008;Huntenburg et al, 2018).…”
Section: Introductionmentioning
confidence: 99%