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Quantifying Excitation-Inhibition Harmony and Its Breakdown during Epileptogenesis in a Spiking Neural Network of the Hippocampal CA1
bioRxiv · · Preprint · Open access
Kim, Lim
Abstract ↗AI summary
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Competitive excitation–inhibition harmony in a spiking neural network of hippocampal CA1 breaks during epileptogenesis, with Cd jumping from ~2.6 to ~60 at the HP→IIP transition.
- Why it matters: Quantitative measures of excitation–inhibition disruption are limited, yet earlier diagnosis and targeted treatment depend on tracking how E–I balance degrades across epileptogenic state transitions.
- What they did: A biologically grounded CA1 spiking network modeled PC axonal sprouting and inhibitory interneuron loss, and quantified input-side competitive E–I balance using Cd (= SE/SI) and output-side hyperexcitability using PC population-averaged mean firing rate.
- The result: At the HP→IIP transition, PC mean firing rate abruptly increases from ~4 to ~200 Hz, and the linked Cd and firing-rate changes support Cd as a potential quantitative biomarker of E–I harmony breakdown.
The findingWhy it mattersWhat they didThe result
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