In this work, we introduce new phenomenological neuronal models (eLIF and mAdExp) that account for energy supply and demand in the cell as well as the inactivation of spike generation how these interact with subthreshold and spiking dynamics. Including these constraints, the new models reproduce a broad range of biologically-relevant behaviors that are identified to be crucial in many neurological disorders, but were not captured by commonly used phenomenological models. Because of their low dimensionality eLIF and mAdExp open the possibility of future large-scale simulations for more realistic studies of brain circuits involved in neuronal disorders. The new models enable both more accurate modeling and the possibility to study energy-associated disorders over the whole time-course of disease progression instead of only comparing the initially healthy status with the final diseased state. These models, therefore, provide new theoretical and computational methods to assess the opportunities of early diagnostics and the potential of energy-centered approaches to improve therapies.

在这项工作中，我们介绍了新的现象学神经元模型（e LIF和mAdExp），这些模型说明了细胞中的能量供需，以及使尖峰生成失活，这些尖峰生成如何与阈值下限和尖峰动态相互作用。包括这些限制在内，新模型重现了广泛的生物学相关行为，这些行为在许多神经系统疾病中被认为是至关重要的，但未被常用的现象学模型捕获。由于尺寸低eLIF和mAdExp为未来更大规模的模拟研究提供了可能性，以便对涉及神经元疾病的大脑回路进行更现实的研究。新的模型不仅可以进行更准确的建模，而且还可以在疾病发展的整个过程中研究与能量有关的疾病，而不仅仅是将最初的健康状态与最终的疾病状态进行比较。因此，这些模型提供了新的理论和计算方法，以评估早期诊断的机会以及以能量为中心的方法改善疗法的潜力。