The principle of stationary action in neural systems

التفاصيل البيبلوغرافية
العنوان: The principle of stationary action in neural systems
المؤلفون: Fagerholm, Erik D., Friston, Karl J., Moran, Rosalyn J., Leech, Robert
سنة النشر: 2020
المجموعة: Physics (Other)
Quantitative Biology
مصطلحات موضوعية: Quantitative Biology - Neurons and Cognition, Physics - Classical Physics
الوصف: The principle of stationary action is a cornerstone of modern physics, providing a powerful framework for investigating dynamical systems found in classical mechanics through to quantum field theory. However, computational neuroscience, despite its heavy reliance on concepts in physics, is anomalous in this regard as its main equations of motion are not compatible with a Lagrangian formulation and hence with the principle of stationary action. Taking the Dynamic Causal Modelling neuronal state equation, Hodgkin-Huxley model, and the Leaky Integrate-and-Fire model as examples, we show that it is possible to write complex oscillatory forms of these equations in terms of a single Lagrangian. We therefore bring mathematical descriptions in computational neuroscience under the remit of the principle of stationary action and use this reformulation to express symmetries and associated conservation laws arising in neural systems.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2010.02993
رقم الأكسشن: edsarx.2010.02993
قاعدة البيانات: arXiv