Quantifying short-lived events in multistate ionic current measurements

A Balijepalli, J Ettedgui, AT Cornio, JWF Robertson… - ACS …, 2014 - ACS Publications
We developed a generalized technique to characterize polymer–nanopore interactions via
single channel ionic current measurements. Physical interactions between analytes, such as …

Improved spike-sorting by modeling firing statistics and burst-dependent spike amplitude attenuation: a Markov chain Monte Carlo approach

C Pouzat, M Delescluse, P Viot… - Journal of …, 2004 - journals.physiology.org
Spike-sorting techniques attempt to classify a series of noisy electrical waveforms according
to the identity of the neurons that generated them. Existing techniques perform this …

Gonadotropin-releasing hormone (GnRH) neuron excitability is regulated by estradiol feedback and kisspeptin

C Adams, W Stroberg, RA DeFazio… - Journal of …, 2018 - Soc Neuroscience
Gonadotropin-releasing hormone (GnRH) neurons produce the central output controlling
fertility and are regulated by steroid feedback. A switch from estradiol negative to positive …

MCMC estimation of Markov models for ion channels

I Siekmann, LE Wagner, D Yule, C Fox, D Bryant… - Biophysical journal, 2011 - cell.com
Ion channels are characterized by inherently stochastic behavior which can be represented
by continuous-time Markov models (CTMM). Although methods for collecting data from …

High-bandwidth nanopore data analysis by using a modified hidden Markov model

J Zhang, X Liu, YL Ying, Z Gu, FN Meng, YT Long - Nanoscale, 2017 - pubs.rsc.org
Nanopore-based sensing is an emerging analytical technique with a number of important
applications, including single-molecule detection and DNA sequencing. In this paper, we …

Hidden-Markov methods for the analysis of single-molecule actomyosin displacement data: the variance-Hidden-Markov method

DA Smith, W Steffen, RM Simmons, J Sleep - Biophysical journal, 2001 - cell.com
In single-molecule experiments on the interaction between myosin and actin, mechanical
events are embedded in Brownian noise. Methods of detecting events have progressed from …

Markov chain Monte Carlo methods for parameter estimation in multidimensional continuous time Markov switching models

M Hahn, S Frühwirth-Schnatter… - Journal of Financial …, 2010 - academic.oup.com
We consider a multidimensional, continuous-time model where the observation process is a
diffusion with drift and volatility coefficients being modeled as continuous-time, finite-state …

Calcium regulation of single ryanodine receptor channel gating analyzed using HMM/MCMC statistical methods

RA Rosales, M Fill, AL Escobar - The Journal of general physiology, 2004 - rupress.org
Type-II ryanodine receptor channels (RYRs) play a fundamental role in intracellular Ca2+
dynamics in heart. The processes of activation, inactivation, and regulation of these …

Maximum likelihood trajectories for continuous-time Markov chains

T Perkins - Advances in neural information processing …, 2009 - proceedings.neurips.cc
Continuous-time Markov chains are used to model systems in which transitions between
states as well as the time the system spends in each state are random. Many computational …

Markov chain Monte Carlo fitting of single-channel data from inositol trisphosphate receptors

E Gin, M Falcke, LE Wagner, DI Yule… - Journal of theoretical …, 2009 - Elsevier
In many cell types, the inositol trisphosphate receptor (IPR) is one of the important
components that control intracellular calcium dynamics, and an understanding of this …