中文
相关论文

相关论文: Memristive Model of Excitable Cells

200 篇论文

Experiments on single ionic channels have contributed to a large extent to our current view on the function of cell membrane. In these experiments the main observables are the physical quantities: ionic concentration, membrane electrostatic…

生物物理 · 物理学 2018-04-17 Laureano Ramírez-Piscina , José M. Sancho

We study the effects of a probabilistic refractory period in the collective behavior of coupled discrete-time excitable cells (SIRS-like cellular automata). Using mean-field analysis and simulations, we show that a synchronized phase with…

神经元与认知 · 定量生物学 2015-03-18 Fernando Rozenblit , Mauro Copelli

A model of memristor-based Chuas oscillator is studied. The considered system has infinitely many equilibrium points, which build a line of equilibria. Bifurcational mechanisms of oscillation excitation are explored for different forms of…

适应与自组织系统 · 物理学 2017-07-11 Ivan A. Korneev , Tatiana E. Vadivasova , Vladimir V. Semenov

We study the response of a highly excited 1D gas with pointlike interactions to a periodic modulation of the coupling constant. We calculate the corresponding dynamic structure factors and show that their low-frequency behavior differs…

量子气体 · 物理学 2011-03-24 M. Colomé-Tatché , D. S. Petrov

We present experimental and theoretical arguments, at the single neuron level, suggesting that neuronal response fluctuations reflect a process that positions the neuron near a transition point that separates excitable and unexcitable…

神经元与认知 · 定量生物学 2013-12-25 Asaf Gal , Shimon Marom

The electrophysiology of betacells is at the origin of insulin secretion. Betacells exhibit a complex behaviour upon stimulation with glucose including repeated and uninterrupted bursting. Mathematical modelling is most suitable to improve…

细胞行为 · 定量生物学 2007-05-23 Michael Meyer-Hermann

We prove the existence of a phase transition for a stochastic model of interacting neurons. The spiking activity of each neuron is represented by a point process having rate $1 $ whenever its membrane potential is larger than a threshold…

概率论 · 数学 2018-08-15 P. A. Ferrari , A. Galves , I. Grigorescu , E. Löcherbach

When neurons fire action potentials, dissipation of free energy is usually not directly considered, because the change in free energy is often negligible compared to the immense reservoir stored in neural transmembrane ion gradients and the…

神经元与认知 · 定量生物学 2015-06-17 Niklas Hübel , Eckehard Schöll , Markus A. Dahlem

Energy-based bond graph modelling of biomolecular systems is extended to include chemoelectrical trans- duction thus enabling integrated thermodynamically-compliant modelling of chemoelectrical systems in general and excitable membranes in…

In these companion papers, we study how the interrelated dynamics of sodium and potassium affect the excitability of neurons, the occurrence of seizures, and the stability of persistent states of activity. We seek to study these dynamics…

神经元与认知 · 定量生物学 2009-09-29 Ghanim Ullah , John R. Cressman , Ernest Barreto , Steven J. Schiff

Chiral topological orders formed in correlated fermion systems have been widely explored. However, the mechanism on how they emerge from interacting fermions is still unclear. Here, we propose a susceptibility condition. Under this…

强关联电子 · 物理学 2024-06-26 Rui Wang , Tao Yang , Z. Y. Xie , Baigeng Wang , X. C. Xie

We present a simple one-dimensional trapping model prompted by the problem of ion current across biological membranes. The trap is modeled mimicking the ionic channel membrane behaviour. Such voltage-sensitive channels are open or closed…

统计力学 · 物理学 2009-10-31 Alejandro D. Sanchez , Jorge A. Revelli , Horacio S. Wio

Mechanosensitive channels are ion channels activated by membrane tension. We investigate the influence of bacterial mechanosensitive channels spatial distribution on activation (gating). Based on elastic short-range interactions we map this…

生物物理 · 物理学 2020-03-24 Ksenia Guseva , Marco Thiel , Ian Booth , Samantha Miller , Celso Grebogi , Alessandro de Moura

Recently, it was shown that the amoeba-like cell {\it Physarum polycephalum} when exposed to a pattern of periodic environmental changes learns and adapts its behavior in anticipation of the next stimulus to come. Here we show that such…

细胞行为 · 定量生物学 2009-11-21 Yuriy V. Pershin , Steven La Fontaine , Massimiliano Di Ventra

Complex network dynamics have been analyzed with models of systems of coupled switches or systems of coupled oscillators. However, many complex systems are composed of components with diverse dynamics whose interactions drive the system's…

定量方法 · 定量生物学 2012-01-09 Matthew R. Francis , Elana J. Fertig

Networks of excitatory and inhibitory (EI) neurons form a canonical circuit in the brain. Seminal theoretical results on dynamics of such networks are based on the assumption that synaptic strengths depend on the type of neurons they…

神经元与认知 · 定量生物学 2025-03-18 Yuxiu Shao , David Dahmen , Stefano Recanatesi , Eric Shea-Brown , Srdjan Ostojic

In this pedagogical paper a coherent explanation of the resting potential of nerve cells is given in terms of its determining factors. These are the currents of active transport of the ions to which the membrane is permeable, their membrane…

生物物理 · 物理学 2017-03-13 Josef Jäckle

We describe gapped single-particle and collective excitations across a superfluid to insulator quantum phase transition of particles (bosons or fermions) in a periodic potential, with an even number of particles per unit cell. We…

强关联电子 · 物理学 2009-04-05 Stephen Powell , Subir Sachdev

The pedunculopontine nucleus (PPN) is a heterogeneous brainstem locomotor hub implicated in Parkinson's disease and potentially relevant for its treatment. We propose single-compartment, conductance-based models for three classes of PPN…

动力系统 · 数学 2026-03-13 Anna Kishida Thomas , Jonathan E. Rubin

While resistors with memory, sometimes called memristive elements (such as ReRAM cells), are often studied under conditions of periodic driving, little attention has been paid to the Fourier features of their memory response (hysteresis).…

应用物理 · 物理学 2023-10-03 Y. V. Pershin , C. -C. Chien , M. Di Ventra