#spatialcoding — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #spatialcoding, aggregated by home.social.
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New paper from the Poirazi lab, together w Losonczy and Polleux labs:
See how much #dendritic geometry matters for #SpatialCoding: Clustered excitatory inputs on #CA1 #dendrites can support stable #PlaceFields with fewer active #synapses, by engaging local dendritic nonlinearities and Ca2+ signaling.
📄 https://www.cell.com/cell-reports/fulltext/S2211-1247(26)00871-5
Nice example of #DendriticComputing: not just which synapses are active, but where they are placed along the dendritic tree, shapes #NeuronalComputation.
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New paper from the Poirazi lab, together w Losonczy and Polleux labs:
See how much #dendritic geometry matters for #SpatialCoding: Clustered excitatory inputs on #CA1 #dendrites can support stable #PlaceFields with fewer active #synapses, by engaging local dendritic nonlinearities and Ca2+ signaling.
📄 https://www.cell.com/cell-reports/fulltext/S2211-1247(26)00871-5
Nice example of #DendriticComputing: not just which synapses are active, but where they are placed along the dendritic tree, shapes #NeuronalComputation.
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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.
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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.