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October 3, 2025Open Access

Fitting bifurcation structure, not voltage traces: A biophysically inspired derivation of reduced neuron models exemplified by potassium dynamics

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Authors

LLLouisiane LemaireMBMahraz BehboodJSJan‐Hendrik Schleimer

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Overview

This research demonstrates the impact of bifurcation structure on neuron models' dynamics and potassium's role in excitability.

Key Points

  • Bifurcation structure fitting captures complex dynamics, influencing neuron excitability and network synchronization.
  • The methodology derived a new model that incorporates extracellular potassium effects, enhancing voltage dynamics.
  • Applying the systematic reduction to the Wang-Buzsáki model yields results comparable in dynamics and behavior.
  • Implications reveal that variations in potassium concentration significantly affect neural network synchronization.

Cite This Study

Lemaire et al. (2025) studied this question.

synapsesocial.com/papers/68e02f40f0e39f13e7fa285ehttps://doi.org/10.7554/elife.108270.1
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