A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges

Francesco Edoardo Vaccari; Stefano Diomedi; Matteo Filippini; Claudio Galletti; Patrizia Fattori

doi:10.1016/j.xpro.2021.100413

A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges

STAR Protoc. 2021 Mar 29;2(2):100413. doi: 10.1016/j.xpro.2021.100413. eCollection 2021 Jun 18.

Authors

Francesco Edoardo Vaccari¹, Stefano Diomedi¹, Matteo Filippini¹, Claudio Galletti¹, Patrizia Fattori¹

Affiliation

¹ Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna 40126, Italy.

Abstract

The protocol provides an extensive guide to apply the generalized linear model framework to neurophysiological recordings. This flexible technique can be adapted to test and quantify the contributions of many different parameters (e.g., kinematics, target position, choice, reward) on neural activity. To weight the influence of each parameter, we developed an intuitive metric ("w-value") that can be used to build a "functional fingerprint" characteristic for each neuron. We also provide suggestions to extract complementary useful information from the method. For complete details on the use and execution of this protocol, please refer to Diomedi et al. (2020).

Keywords: Bioinformatics; Model Organisms; Neuroscience; Single Cell.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Action Potentials / physiology
Animals
Brain / physiology
Linear Models*
Macaca
Neurophysiology / methods*
Poisson Distribution*
Signal Processing, Computer-Assisted