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#Graphs

2 posts1 participant0 posts today

This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.

🌍 science.org/doi/10.1126/sciadv

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First plague, then war.

“Regardless of which measure you consult, the past year has seen a sharp increase in global #spending on #defence. Budgets totalled $2.7trn in 2024—up by 9.4% from 2023, the biggest jump since at least 1988.

#Military outlays now account for 2.5% of countries’ gdp on average, and 7.1% of government budgets. But the increase is even steeper when adjusted for purchasing power (see chart 1). With help from #PeterRobertson of the #UniversityofWesternAustralia, we estimate that global #defence #spending rose by 10% in real terms.”

What got me to read the article? The notation, “$bn, log scale” graph. #Graphs shown in log #scale.

Meaning the economist pitch to readership is high in statistical education OR it’s from an Academic source.

<archive.md/I8SBL> / <economist.com/graphic-detail/2> (paywall)

Continued thread

🧵 6/8 - #ClimateKG is based at TIB and makes use of the knowledge graph work going on in T&D. TIB is one of the largest science libraries in the world and is a global hub for knowledge graph R&D — service development, and infrastructure provision — especially the Open Research Knowledge Graph (ORKG). orkg.org/ - as an examples ORKG Curation grants orkg.org/page/curation-grants- | AI assisted search ask.orkg.org/ #climatechange #knowledge #graphs ask.orkg.org/s/j5hiede20dy1jni