The function computes Latency indices base don MUAes fitted by cumulative gaussian function with 5 (degrees of freedom) parameters (mu, sigma, alpha, c, d). The best fit is assigned based on Least Squares (LS) of iterative estimation.

Demetrio Ferro 1e6226b420 Update 'README.md' 2 months ago
Code 5fb8a5508b Update 'Code/demo_offset.m' 5 months ago
LICENSE 1ca89fd363 Update 'LICENSE' 2 years ago
README.md 1e6226b420 Update 'README.md' 2 months ago
datacite.yml 2481b9f5a8 Update 'datacite.yml' 2 years ago
sample-signal.png 029b17ab1a Subir archivos a '' 2 years ago

README.md

Analysis-of-MUAe-latency

% COMPUTE LATENCY function written by Demetrio Ferro <demetrio.ferro@upf.edu>
% Based on (Roelfsema, Tolboom, Khayat, Neuron 2007).
% developed for (Ferro, van Kempen, Boyd, Panzeri, Thiele, PNAS 2021)


% The function computes Latency indices base don MUAes fitted by cumulative 
% gaussian function with 5 (degrees of freedom) parameters (mu, sigma, alpha, c, d).
% The best fit is assigned based on Least Squares (LS) of iterative estimation.

% Inputs:
% MuaeData          [NxT]  Multi-channel (N channels) MUAes in time (T points) 
% MuaeTimes         [1xT]  Timestamps of MUAe recordings (T points)
% lsqTimeRes        [1x1]  Resolution of time series for Latency estimation

% Outputs:
% latTimes          [1xN]  Latency indices at t*:={f(t*)=1/3*max(f(t)),t in MuaeTimes}
% lsqCurveTimes     [1x(T*lsqTimeRes)] Timestamps of fitted curves
% lsqFittedCurve    [Nx(T*lsqTimeRes)] Fitted curves at LS parameters
% lsqFittedParam    [Nx5]  LS parameters
% lsqFitErr         [1xN]  LS error of the fit

demo signal

(correspondance contact might not be updated)

datacite.yml
Title A simple tool to compute Latency for MUAe data
Authors Ferro,Demetrio;Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08002 Barcelona, ES;ORCID:0000-0003-4969-1415
Description The tool allows to compute Latency for MUAe data based on Least-Square approximation.
License Creative Commons Attribution-NonCommercial-ShareAlike-4.0 International (https://creativecommons.org/licenses/by-nc-sa/4.0/)
References D. Ferro, J. van Kempen, M. Boyd, S. Panzeri and A. Thiele, PNAS 2021 [doi:10.1073/pnas.2022097118] (IsSupplementTo)
Pieter R.Roelfsema, MichielTolboom, Paul S.Khayat, Neuron 2007 [doi:10.1016/j.neuron.2007.10.006] (IsSupplementTo)
Funding
Keywords Neuroscience
Multi-Unit-Activity
Multicontact electrodes
Resource Type Software