Laura Sacerdote

Works (3)

Updated: July 5th, 2023 16:01

2004 article

Almost Sure Comparisons for First Passage Times of Diffusion Processes through Boundaries

Sacerdote, L., & Smith, C. E. (2004, May 5). Methodology And Computing In Applied Probability, Vol. 6, pp. 323–341.

By: L. Sacerdote* & C. Smith n 

author keywords: diffusion process; first passage time; comparison theorem; Feller process; Ornstein-Uhlenbeck process
topics (OpenAlex): Stochastic processes and financial applications; Stochastic processes and statistical mechanics; Markov Chains and Monte Carlo Methods
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2000 article

A qualitative comparison of some diffusion models for neural activity via stochastic ordering

Sacerdote, L., & Smith, C. E. (2000, November 17). Biological Cybernetics, Vol. 83, pp. 543–551.

By: L. Sacerdote* & C. Smith n 

MeSH headings : Action Potentials / physiology; Algorithms; Animals; Diffusion; Membrane Potentials / physiology; Models, Neurological; Neurons / physiology; Stochastic Processes
topics (OpenAlex): stochastic dynamics and bifurcation; Neural Networks and Applications; Neural dynamics and brain function
TL;DR: This work compares the distribution of interspike intervals from different models using the method of stochastic ordering and concludes that the Feller model gives shorter times than the Ornstein-Uhlenbeck model but longer times than the authors' double reversal potential model. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2000 article

New parameter relationships determined via stochastic ordering for spike activity in a reversal potential neural model

Sacerdote, L., & Smith, C. E. (2000, December 1). Biosystems, Vol. 58, pp. 59–65.

By: L. Sacerdote* & C. Smith n 

author keywords: Feller model; stochastic order; interspike interval distribution
MeSH headings : Action Potentials; Models, Neurological
topics (OpenAlex): stochastic dynamics and bifurcation; Neural dynamics and brain function; Lipid Membrane Structure and Behavior
TL;DR: The functional dependence among the model parameters (e.g, membrane time constant, reversal potential, etc.) resulting from the ordering criteria employed and from the study of mean trajectory plots is analyzed into detail for four different scenario. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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