The influence of neuronal electrical activity on the mammalian central clock metabolome

Spontaneous electromagnetic induction originating from neuronal electrical activity is believed to reflect the memory ability in the neural system and significantly modulates neural information transmission, but its fundamental effect on the neuronal dynamic properties is still not well understood. In this paper, we use a memristor to couple neuronal electrical activity and magnetic fields and study how the spontaneous electromagnetic induction modulates the neuronal dynamical response to external stimulation. It is found that the negative feedback of electromagnetic induction on the neuron significantly reduces the dynamical response range, decreases the oscillation amplitude and induces a higher firing frequency. Meanwhile, the memory effect on electromagnetic induction can induce two kinds of bistability, including the coexistence of a stable limit cycle and a fixed point, and the coexistence of two stable limit cycles. Furthermore, high electric driving for electromagnetic induction produces complex firing patterns with single, double and multiple frequencies. Our results not only further confirm the efficacy of spontaneous electromagnetic induction in modulating the neuronal dynamical properties but also provide insights into the possibilities of choosing suitable parameter spaces in studying the effects of external magnetic induction on brain functions.

Download Full-text

Direct magnetic resonance detection of neuronal electrical activity

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.0603219103 ◽

2006 ◽

Vol 103 (43) ◽

pp. 16015-16020 ◽

Cited By ~ 72

Author(s):

N. Petridou ◽

D. Plenz ◽

A. C. Silva ◽

M. Loew ◽

J. Bodurka ◽

...

Keyword(s):

Magnetic Resonance ◽

Electrical Activity ◽

Resonance Detection ◽

Neuronal Electrical Activity

Download Full-text

Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ Circuit

Ingeniería y Ciencia ◽

10.17230/ingciencia.12.23.5 ◽

2016 ◽

Vol 12 (23) ◽

pp. 93-106 ◽

Cited By ~ 2

Author(s):

Jose A. Díaz M. ◽

Oscar Téquita ◽

Fernando Naranjo

Keyword(s):

Electrical Activity ◽

Josephson Junction ◽

Action Potentials ◽

Josephson Junctions ◽

Lyapunov Functions ◽

Neuronal Networks ◽

Neuronal Dynamics ◽

Neuronal Synchronization ◽

Brain Behavior ◽

Neuronal Electrical Activity

We simulated the neuronal electrical activity using the Hodgkin-Huxleymodel (HH) and a superconductor circuit, containing Josephson junctions. These HH model make possible simulate the main neuronal dynamics characteristics such as action potentials, firing thres hold and refractory period.The purpose of the manuscript is show a method to syncronize a RCL-shunted Josephson junction to a neuronal dynamics represented by the HH model. Thus the RCLSJ circuit is able to mimics the behavior of the HH neuron. We controlated the RCLSJ circuit, using and improved adaptative track scheme, that with the improved Lyapunov functions and thetwo controllable gain coefficients allowing synchronization of two neuronal models. Results will provide the path to follow forward the understanding neuronal networks synchronization about, generating the intrinsic brain behavior.

Download Full-text

Daily electrical activity in the master circadian clock of a diurnal mammal

eLife ◽

10.7554/elife.68179 ◽

2021 ◽

Vol 10 ◽

Author(s):

Beatriz Bano-Otalora ◽

Matthew J Moye ◽

Timothy Brown ◽

Robert J Lucas ◽

Casey O Diekman ◽

...

Keyword(s):

Mathematical Modeling ◽

Data Assimilation ◽

Electrical Activity ◽

Ionic Mechanism ◽

Suprachiasmatic Nuclei ◽

Rhabdomys Pumilio ◽

Primary Determinant ◽

Ionic Mechanisms ◽

Central Clock ◽

Evoked Activity

Circadian rhythms in mammals are orchestrated by a central clock within the suprachiasmatic nuclei (SCN). Our understanding of the electrophysiological basis of SCN activity comes overwhelmingly from a small number of nocturnal rodent species, and the extent to which these are retained in day-active animals remains unclear. Here, we recorded the spontaneous and evoked electrical activity of single SCN neurons in the diurnal rodent Rhabdomys pumilio, and developed cutting-edge data assimilation and mathematical modeling approaches to uncover the underlying ionic mechanisms. As in nocturnal rodents, R. pumilio SCN neurons were more excited during daytime hours. By contrast, the evoked activity of R. pumilio neurons included a prominent suppressive response that is not present in the SCN of nocturnal rodents. Our modeling revealed and subsequent experiments confirmed transient subthreshold A-type potassium channels as the primary determinant of this response, and suggest a key role for this ionic mechanism in optimizing SCN function to accommodate R. pumilio’s diurnal niche.

Download Full-text