English

A lite parametric model for the Hemodynamic Response Function

Neurons and Cognition 2020-04-29 v1 Machine Learning Machine Learning

Abstract

When working with task-related fMRI data, one of the most crucial parts of the data analysis consists of determining a proper estimate of the BOLD response. The following document presents a lite model for the Hemodynamic Response Function HRF. Between other advances, the proposed model present less number of parameters compared to other similar HRF alternative, which reduces its optimization complexity and facilitates its potential applications.

Cite

@article{arxiv.2004.13361,
  title  = {A lite parametric model for the Hemodynamic Response Function},
  author = {Manuel Morante},
  journal= {arXiv preprint arXiv:2004.13361},
  year   = {2020}
}

Comments

6 pages, 3 figures

R2 v1 2026-06-23T15:08:46.317Z