Phenomenological models of NaV1.5. A side by side, procedural, hands-on comparison between Hodgkin-Huxley and kinetic formalisms
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-53662-9
Abstract: Computational models of ion channels represent the building blocks of conductance-based, biologically inspired models of neurons and neural networks. Ion channels are still widely modelled by means of the formalism developed by the seminal work… read more here.
Keywords: ion channels; markov type; ion; hodgkin huxley ... See more keywords
The extended Granger causality analysis for Hodgkin-Huxley neuronal models.
Sign Up to like & getrecommendations! Published in 2020 at "Chaos"
DOI: 10.1063/5.0006349
Abstract: How to extract directions of information flow in dynamical systems based on empirical data remains a key challenge. The Granger causality (GC) analysis has been identified as a powerful method to achieve this capability. However,… read more here.
Keywords: granger causality; analysis; connectivity; causality analysis ... See more keywords
Cellular function given parametric variation in the Hodgkin and Huxley model of excitability
Sign Up to like & getrecommendations! Published in 2018 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.1808552115
Abstract: Significance Macroscopic cellular function is maintained despite extensive variations in underlying elementary constituents, including the size of the cell, and the number, distribution, and kinetics of their proteins. Here, we take advantage of the sound… read more here.
Keywords: function; huxley model; hodgkin huxley; cellular function ... See more keywords
Robust septic Hermite collocation technique for singularly perturbed generalized Hodgkin–Huxley equation
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2021.1939317
Abstract: In this paper, the singularly perturbed generalized Hodgkin–Huxley equation is solved by the septic Hermite collocation method (SHCM). In this method, septic Hermite interpolating polynomials are u... read more here.
Keywords: singularly perturbed; generalized hodgkin; huxley equation; septic hermite ... See more keywords
Temperature-induced logical resonance in the Hodgkin-Huxley neuron
Sign Up to like & getrecommendations! Published in 2023 at "Chinese Physics B"
DOI: 10.1088/1674-1056/accd49
Abstract: Logical resonance has been demonstrated to be present in the FitzHugh–Nagumo (FHN) neuron, namely, the FHN neuron can operate as a reliable logic gate within an optimal window of parameter. Here we attempt to extend… read more here.
Keywords: neuron; temperature; temperature induced; hodgkin huxley ... See more keywords
Channel noise effects on first spike latency of a stochastic Hodgkin-Huxley neuron.
Sign Up to like & getrecommendations! Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.95.022414
Abstract: While it is widely accepted that information is encoded in neurons via action potentials or spikes, it is far less understood what specific features of spiking contain encoded information. Experimental evidence has suggested that the… read more here.
Keywords: hodgkin huxley; latency; spike latency; first spike ... See more keywords
High Speed and Low Digital Resources Implementation of Hodgkin-Huxley Neuronal Model Using Base-2 Functions
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2020.3026076
Abstract: Neurons are the basic blocks in the Central Nervous System (CNS). Simulation and hardware realization of these blocks are vital in neuromorphic engineering. This paper presents a set of multiplierless mathematical equations based on $2^{X}$… read more here.
Keywords: implementation; hodgkin huxley; model; implementation hodgkin ... See more keywords
Parameter Identification Problem in the Hodgkin-Huxley Model
Sign Up to like & getrecommendations! Published in 2022 at "Neural Computation"
DOI: 10.1162/neco_a_01487
Abstract: Abstract The Hodgkin-Huxley (H-H) landmark model is described by a system of four nonlinear differential equations that describes how action potentials in neurons are initiated and propagated. However, obtaining some of the parameters of the… read more here.
Keywords: parameter identification; identification problem; model; hodgkin huxley ... See more keywords
Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2021.800875
Abstract: Hodgkin-Huxley (HH)-type model is the most famous computational model for simulating neural activity. It shows the highest accuracy in capturing neuronal spikes, and its model parameters have definite physiological meanings. However, HH-type models are computationally… read more here.
Keywords: neural network; huxley type; hodgkin huxley; type ... See more keywords
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2022.874234
Abstract: Computational experiments have been very important to numerically simulate real phenomena in several areas. Many studies in computational biology discuss the necessity to obtain numerical replicability to accomplish new investigations. However, even following well-established rules… read more here.
Keywords: huxley type; network model; hodgkin huxley; model ... See more keywords