ArticleThe European journal of neuroscience2026
Learning Dynamics in Biophysical Spiking Network Models Are Shaped by KCC2/NKCC1 Cotransporter Stoichiometry.
Article in The European journal of neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Learning Dynamics in Biophysical Spiking Network Models Are Shaped by KCC2/NKCC1 Cotransporter Stoichiometry.The European journal of neuroscience · 2026Article
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Authors and funding
4 authors.
Funding
Abstract
Neuronal chloride homeostasis, governed by the opposing actions of the KCC2 exporter and NKCC1 importer, plays a critical role in regulating excitability and plasticity. While their individual functions are well characterized, the quantitative impact of their combined dynamics on learning processes remains poorly understood. In this computational study, we systematically varied KCC2 and NKCC1 activity levels within a biologically grounded realistic spiking neural network (RSNN) model to examine their influence on learning performance. Simulations were conducted with 441 combinations of parameters, under two different NKCC1 stoichiometries: the canonical 1 Na
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