sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
5d4d1f0739e0a418b4529de864e81502a1af9c8ad2e8046e5d77e19bcf263195 | MATLAB | 4,856 | 153 | % function [results] = figureS1_item(data_dir, id, data, read_from_xlsx)
% this function creates full rasterplots for item cells
%
% INPUTS:
% data_dir (str): path to source_data directory
% id (int): 1 or 2, since there are 2 units of each type
% (responding to items or location... |
63e5f7704bd4993e3696e37a113d99321b854f4680da7b56288b91a2543f95b5 | MATLAB | 4,858 | 180 | %fig7_HR_diffs_highFR_synthetic.m
%%
clear all;
close all;
clc;
warning('on','all')
scriptdirs = {pwd; '..\..\plot'; '..\..\analyze'; '..\..\helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
ssfile = 'subsample1000_highFR_stdRP.mat';
sspath = fullfile(datadir,ssfile);
%%
fprintf('loading %s\n',sspath)
... |
350e2a9ca57527ab8aeb04010567098b067db0785c884803f36939970903f051 | MATLAB | 4,859 | 180 | %figS3_FA_diffs_highFR_synthetic.m
%%
clear all;
close all;
clc;
warning('on','all')
scriptdirs = {pwd; '..\..\plot'; '..\..\analyze'; '..\..\helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
ssfile = 'subsample1000_highFR_stdRP.mat';
sspath = fullfile(datadir,ssfile);
%%
fprintf('loading %s\n',sspath)... |
cce422505558d69a7ea4658ca26825ddb970e2e8b5ae5213bed45246288addae | MATLAB | 4,860 | 166 | function [psd_out] = interevent_residual_psd(src_spk,start_events,end_events,boundSpec,psdopt)
poolobj = gcp;
resopt.oneModel = optCheck(psdopt,'oneModel',true,[true false]);
resopt.concatWins = false;
win_len_msec = psdopt.win_len_msec;
psd_out.win_len_msec = win_len_msec;
min_oscil_spk = psdopt.min_oscil_spk;
psd... |
48de4267f96e94f738ff98654b1a668e9569ff4fe9ace6ca1cffcd16e6b32688 | MATLAB | 4,862 | 75 | function Tracks = find_stereotyped_behaviors(Tracks, L, xx, velocity_based_behavior_edges, parameters)
%enforces the constraint that stereotyped behaviors have stay in a
%watershed region for more than 0.5 seconds in order for it to count
% velocity_cutoff = 27; %% need to load in value
velocity_cu... |
32fac45e50e30a086b72652834e88ec0db43b9c341da9877609c42fb017b5f00 | MATLAB | 4,863 | 137 | % This script computes tissue mesh intersections with the YZ plane
% (saggital plane) located at X=0 or elsewhere, displays and saves the
% result
%
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General
% Hospital & ECE Dept., Worcester Polytechnic ... |
0da74620fd821172737e5a7ece06682548bf4e9171b4f2075d3d7bc8b5e5e5f8 | MATLAB | 4,865 | 151 | % ----------------------------------------------------------------
% Load Dataset
% ----------------------------------------------------------------
unzip datasetImages.zip
data = load('vehicleDatasetGroundTruth.mat');
vehicleDataset = data.vehicleDataset;
rng(0)
shuffledIndices = randperm(height(vehicleDataset));
id... |
8b3ab0f8e9119cb26b8d0b5353e478d966aef37b92c3d998ecbcca6ac7e78da3 | MATLAB | 4,865 | 160 | % cfsWriteRL.m
% an example of writing a cfs file for data as RL4, RL8
% must have cfs32.dll in system directory
% calls matcfs32.dll
% note: this is by far the easiest way to write from Matlab
% stays in native format, not problems with Y scaling (or offset)
% 20.02.09: JGC initial version
% 24.02.09... |
ac071c1144dcc8846db4a128a4389766fb3005b47e0c17467c78049269aeda4a | MATLAB | 4,865 | 147 | % Written by Léa Ripoll
% Quantifies the background subtracted fluorescence at segmented endosomes
broot = cd;
parentfile = dir;
for i = 3:size(parentfile,1)
if parentfile(i).isdir %if directory, get in it
cd([broot,'/',parentfile(i).name])
final = {'File name','Fluo cell','Fluo endosomes','Enrichme... |
ef4c525f5cca8a3e042e70d6ed0237d8d2cac994c701c5f2bd54a671f1ca962b | MATLAB | 4,871 | 150 | function LDR = openldr(FN,PERMISSION,Mode,arg4,arg5,arg6)
% OPENLDR loads neuroscan LDR files
% LDR = OPENLDR(Filename [, PERMISSION [, Mode]]);
% LDR = OPENLDR(LDR [, PERMISSION [, Mode]]);
%
% LDR is a struct with the following fields
% LDR.FileName Name of LDR-file
% LDR.Label_Out Labels of output channels
% ... |
4098b4a7c82d6fd463b8613a3796059b1c5dd597233e95b55f2a3113ded63965 | MATLAB | 4,872 | 180 | %fig5_HR_diffs_primary_synthetic.m
%%
clear all;
close all;
clc;
warning('on','all')
scriptdirs = {pwd; '..\..\plot'; '..\..\analyze'; '..\..\helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
ssfile = 'subsample1000_stdFR_stdRP.mat';
sspath = fullfile(datadir,ssfile);
%%
fprintf('loading %s\n',sspath)
... |
e3dd865143bf4eddc6a2de7bc02a64325cedbdbf1a8625c99dbbae02de448600 | MATLAB | 4,872 | 166 | %% Script for NB propagation in the different configurations %%
% attenzione non da worning su nomi
%% Set up iniziale
% nbins=100;
clear
close all
binwidth = 1;
Involved_Beads_18_all = []; %da cambiare manualmente per ora per ogni configurazione (seleziona tutti e modifica)
NearestInvolved_Beads_18_all = []; %d... |
766539b1436cdde9419f75503952b41cb650d192985f7d4393977bed1baedbec | MATLAB | 4,873 | 180 | %fig6_FA_diffs_primary_synthetic.m
%%
clear all;
close all;
clc;
warning('on','all')
scriptdirs = {pwd; '..\..\plot'; '..\..\analyze'; '..\..\helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
ssfile = 'subsample1000_stdFR_stdRP.mat';
sspath = fullfile(datadir,ssfile);
%%
fprintf('loading %s\n',sspath)
... |
c36b27193e5b9b1e3ad7152285b76a79a6d716f663b2671e1e69ebcca71fc3b5 | MATLAB | 4,875 | 186 | function [] = ExtDataFig03_AveTimeCourseSongTrans()
% Code for plotting calcium signals and song probabilities during song type transitions in Extended Data Fig. 3d,k.
GT = 'dPR1'; % Extended Data Fig. 3d
% GT = 'TN1SG'; % Extended Data Fig. 3k
selpath = ['../Data/Summary_',GT,'/'];
load([selpath,'Transitions'])
%%
... |
d89cc752cf93dc44f9d091b02c21aaa8903f898aa749e8d769566cc87e78c24c | MATLAB | 4,875 | 150 | % selectDroppedFicTrac.m
%
% Function to manually select times in experiment where FicTrac was not
% tracking the ball. Loads FicTrac data from pData file. Saves back into
% same pData file.
%
% Adapted from function of same name in 2PAnalysisCode-Helen
%
% INPUT:
% none, but user selects trial folder to process
%... |
c148b910e4cf865174e4bd9b7881c97b898b71b287b88e8927bb8aee1c721ffe | MATLAB | 4,879 | 186 | function [] = ExtDataFig03_Example_TimeCourseRaw_dPR1_IsolatedSong()
% Code for plotting the example trace in Extended Data Fig. 3p.
GT = 'dPR1';
Target_FileID = 2;
Target_ROI = 1;
Target_Trial = 1;
FileID = Target_FileID;
%% parameters
Thre_pulse = 0.1;
Thre_sine = 0.6;
RecDur = 190;
DownSampleRate = 10;
nTrials ... |
95f01e1bf19f83d5906fed293bac8836146c175693ef4b8f7b3b44b78517078f | MATLAB | 4,880 | 87 | function [EC] = meshneighborints_2(P, t, normals, Area, Center, RnumberE, ineighborE, numThreads)
% Accurate integration for electric field/electric potential on neighbor facets
% Copyright WAW 2020
N = size(t, 1);
integralxc = zeros(RnumberE, N); % center-point Ex integrals for array of neighbor ... |
ccb63b5210461cad8f39284d4d58d1a8c6cec0586659d5d4b2482523b45931f8 | MATLAB | 4,884 | 123 | function [rmin_sol, set_rm_SA, VR_sizes] = ...
SA_func_d2soz(w_use, rec_set, cost1)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% If you use this code, then please cite:
% 1.- Ana P. Millan, et al. "Individualized epidemic spreading models
% predict epilepsy surgery outcomes: a pseudo-prospecti... |
c13f0476e0e63919fcacfb3971c33ef20e46993d2686e3747086c954834f85b3 | MATLAB | 4,885 | 152 | %% LOAD
if ismac
load('/Volumes/Runyan2/Christian/Processed Data/Event Analysis/standard_ds_onsets.mat')
else
load('Y:\Christian\Processed Data\Event Analysis\standard_ds_onsets.mat');
end
%% PARAMETERS
ds=1:12;
conditions = {'SOM', 'PV','Mixed'};
Np=3; %%number of conditions?
Nsample=length(ds); % 10 sam... |
02c88f9b83e82f0d3ee42f486548ad0b1ecdfcfb98466d299ac5880efa6c05b6 | MATLAB | 4,892 | 117 | %%% demo of the full MIN1PIPE %%%
clear
warning off
gcp;
% To disable parallel processing, change "parfor" to "for", and change "min1pipe_h5_vary_nopar" to "min1pipe_h5_vary"
min1pipe_init;
addpath(genpath('../ANE'))
%% Set data and folder
scale_lowBG = 5e3;
scale_noise = 1;
data_name = sprintf('lowBG=%.0e,poisson=%g... |
af8749d9eed190d3b9e08ff67d477af3b515c09fdf62b84faa9878c8cc78f3a6 | MATLAB | 4,893 | 146 | % taskTemplateSeglenPrecompute.m
%
% $Id: taskTemplateSeglenPrecompute.m 835 2010-06-29 04:04:08Z justin $
% usage: taskTemplateSeglenPrecompute
% by: justin gardner
% date: 09/25/2013
% copyright: (c) 2006 Justin Gardner (GPL see mgl/COPYING)
% purpose: example program to show how to use... |
5a774e2bb2937e22c4b035316560870d1ce340dbba9377fce77071e1cc127ef7 | MATLAB | 4,899 | 139 | % data_name = 'lowBG=5e+03,poisson=1';
% dir_SUNS_sub = fullfile('SUNS_TUnCaT_SF25','4816[1]th4');
addpath(genpath('.'))
gcp;
%%
num_Exp = 10;
list_Exp_ID = arrayfun(@(x) ['sim_',num2str(x)],0:(num_Exp-1), 'UniformOutput',false);
rate_hz = 10; % frame rate of each video
avg_radius = 6;
r_bg_ratio = 3;
leng = r_bg_rat... |
563b9f57b00560cf1d6e7c51ce823e486462febe5fae78dfbbbd54fbcedc8f58 | MATLAB | 4,901 | 111 | function [wmlMat,trainFit,testFit]=fitData2FoldMAPRidge(dspec,parametrizationParms,numNeuron,modelVars,wInit,k,numFolds,factor,rho)
% k=0 means fit all trials, no test dataset is created
numTrials=length(dspec.expt.trial);
dt=dspec.expt.binSize/1000;
if k>0
sections=numFolds*factor; edges=(round(linspace(1,numTr... |
799563dc68c4387163441759ff9a6bbe3a57918a7e1ff1d5663c57b532e9f883 | MATLAB | 4,901 | 81 | function Track = labview_track_to_matlab_track(Track, timestamps, decoded_camera_frames)
% converts a labview track to a matlab track by interpolating between
% dropped tracking frames. Ensure the first dimension is matching
% frames
Track.WormIndex = Track.WormIndex + 1; %change to matlab indexing... |
ff5a1b93bd44cadf8f881f2ee0731a55b4c80c817114c7cd2fac0a7e408e3d9c | MATLAB | 4,904 | 112 | %% Script to merge regional brain maps of empirical centile/effect sizes
%% with each regional brain map of their respective significant regions and
%% predicted centiles/effect sizes into separate figures
% Copyright (C) 2023 University of Seville
% Written by Natalia García San Martín (ngarcia1@us.es)
% ... |
3e31f25fcba84e1dde231b134fd4155d161a7705d890a10a0c47680d68c650ae | MATLAB | 4,908 | 106 | clc, clear
close all
%% this file is used to generate NAOMi1p data
% last update: 5/29/2022. YZ
%% add path
installNAOMi1p
%% load pre-defined data
% pre-defined configuration file for RUSH
RUSH_ai148d_config
%% RUSH 148d config
FOV_sz = 600;% FOV, um
nt = 1000; % frames
fn = 10; % frame rate
pavg = 0.5; %mW per ... |
1cfcd9b76ee77b24a0ab2956f9d41eae3cc464d0195e8116651904ea93fd97e0 | MATLAB | 4,918 | 142 | function [G_prime, M_class,class_size] = training_optimal_space(TrainBatch)
% gets the training batch and find the optimal space
%
% [G_PRIME, M_CLASS,CLASS_SIZE] = TRAINING_OPTIMAL_SPACE(TRAINBATCH) gets
% the training set TRAINBATCH, trains the DLD classifier and returns the
% projection matrices G_PRIME, cent... |
e8afc00675822d36cd4b8f80bc3735766b69dafc9e7d6a9c73d830db328ae856 | MATLAB | 4,919 | 139 | % This script computes tissue mesh intersections with the XZ plane
% (coronal plane) located at Y=0 or elsewhere, displays and saves the
% result
%
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General
% Hospital & ECE Dept., Worcester Polytechnic I... |
63a341f6d3edf58f0b4605e5ab27a922be70dcbc6ae33654fceb925861ea2245 | MATLAB | 4,921 | 190 | %{
For the specified k, find the frequency metrics for
each run separately, then average across runs. This includes occurrence,
dwell time, transition number, and transition probability.
Adapts code from:
https://github.com/trendscenter/gift
Output:
avg_substat.csv Frequency metrics averaged across runs for each sub... |
ce9e93583f35bcf7f8f191ed75535b3d1d5906fa226b614d14c64cbec5c0d5cc | MATLAB | 4,921 | 140 | % This script computes tissue mesh intersections with the XZ plane
% (coronal plane) located at Y=0 or elsewhere, displays and saves the
% result
%
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General
% Hospital & ECE Dept., Worcester Polytechnic I... |
d9e414c5e739efb797ae90018fcfaf019f5f4aee8a7b96a36639f5fec4270f6d | MATLAB | 4,921 | 177 | %% Load Data
addpath([cd,'/helper_scripts/'])
load([cd,'/data/OscilloscopeData.mat'],'T2')
time1 = T2(:,1)-T2(1,1);
time1 = time1*(10^6) - 3.6;
source1 = T2(:,3);
targ1 = T2(:,2);
m = min([source1(:);targ1(:)]);
source1 = source1-m;
targ1 = targ1-m;
load([cd,'/data/experiment_LearningMaterial_V2_23-04-2... |
2ae499303f818b77444424804e448b7179ab9f9c9642e1219b44466e5347c8a0 | MATLAB | 4,922 | 95 | function ideals = separateIdealByCorrelation(ideals,est,cnmf,pcaica,suite2p,cuttoff)
if isempty(cuttoff)
cuttoff = 0.5;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Get pairings
% Get pairing infor for CNMF
cnmf.allpairs.strongpairs = cnmf.pairs(cnmf.corrvals>=cuttoff,:);... |
314b8a077367a8b397a41e1720f827a3541473881169fed0671da841097b1db7 | MATLAB | 4,922 | 142 | %% Fig. 1 Experiment 2
% Run config.m
% Define number of stimulus types
win.vis = 24:35; % 0.4 s to 2.0 s, 12 frames
% Process data for each animal using the processAnimalData function
[psth, response, visI] = processAnimalData(cell_activity_allday, stim_type_allday, trials, nanimals, nstim_type, win, threshold, n... |
6c5dd49a7663855810ca306ecc48701187608e5742ac5f08fdb7bdb91c99f957 | MATLAB | 4,922 | 142 | % loadTrk2PData.m
%
% Function that finds the .trk file corresponding to the selected pData
% file(s), preprocesses the .trk data, and saves it into the pData file
% Assumes that .trk file name matches pData name in date_fly#_cell#_trial#
% .trk file as standard output from APT
%
% INPUTS:
% pDataPath - full path to... |
a6ee9445a96ef74e5afe6707a7b8f985e989da83ddcb4fbeb48dc77a5f348c1b | MATLAB | 4,925 | 153 | function h = vl_plotframe(frames,varargin)
% VL_PLOTFRAME Plot a geometric frame
% VL_PLOTFRAME(FRAME) plots the feature frame FRAME. The frame can be
% either a 2D point, a circle, an oriented circle, an ellipse, or an
% oriented ellipse, as follows:
%
% Point::
% FRAME has 2 components. FRAME(1:2) are the x,y... |
5603c897ebb5546ca39632b25a732b83aca9b99dc4dac792c06a8c949968bf17 | MATLAB | 4,926 | 131 | %% MAIN
% Preprocesses the nirs data and saves this for each participant.
%
% INPUT:
% - *run.mat files (contains raw nirs & motion data)
% - *events.mat files (contains the events)
% - participants.xlsx: table with participant demographical and clinical
% info
%
% OUTPUT:
% - *run.mat files (now also containing the pr... |
36ac677dadd1eddf295914f7a5cfd8bddfeded346639ae229546eedc0c9a58f8 | MATLAB | 4,927 | 189 | function [] = Fig02_AveTimeCourseSongTrans()
% Code for plotting calcium signals and song probabilities during song type transitions in Fig. 2d,g.
GT = 'dPR1'; % Fig. 2d
% GT = 'TN1SG'; % Fig. 2g
selpath = ['../Data/Summary_',GT,'/'];
load([selpath,'Transitions'])
%%
switch GT
case 'dPR1'
Ylim_1 = [0 3.5... |
96b847d7934ae71f6e9af87071b4be339a34842e5d9ee99f9ba0024141271956 | MATLAB | 4,927 | 123 | function [hdr] = read_brainvision_vhdr(filename);
% READ_BRAINVISION_VHDR reads the known items from the BrainVision EEG
% header file and returns them in a structure
%
% Use as
% hdr = read_brainvision_vhdr(filename)
%
% See also READ_BRAINVISION_EEG, READ_BRAINVISION_VMRK
% Copyright (C) 2003, Robert Oostenveld
%... |
effccf476323319dc5b3fb290cf1a590bdd1180322f1ff0e6e5495c4f4ce61b4 | MATLAB | 4,928 | 170 | % plotEphysKernel.m
%
% Function to plot kernel relating of spike rate to behavioral param
% (output of computeKernelFromAutoXcorr()). Plots the autocorrelation itself as well
% as the FWHM, across conditions. Plots one line/pt per cell and mean +/-
% SEM across cells
% Select output files through GUI
%
% INPUTS:
%... |
dd30d2f348b7b3ac5521e5f817ffef5fafa4c090c80b394f5cf278df2e7eb969 | MATLAB | 4,929 | 159 | % plot_globalIBI.m
% by M. Chiappalone (26 Maggio 2006)
% modified by Luca Leonardo Bologna 04 June 2007
% - modified in order to handle 64 channels
clr
[FileName,PathName] = uigetfile('*.mat','Select a Burst Detection file');
cd (PathName)
cd ..
cd ..
start_folder = pwd;
d = dir;
control = 0;
for k = 3:length(d)
... |
6d335c4c5c749b9843827ed084ee25c0e6a26c433d1b7e90b5e0474e138408ae | MATLAB | 4,930 | 113 | %% Script to reproduce the results of the paper
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Note: A few sessions contain simultaneous recordings from M1 and PMd.
%
% We define:
%
% Session: Behavioural session. A file that contain one set of movements
% and their... |
d660960adfeef868570c2e0ac04f56c629d6e6e96172b3dc61bf7c684127184f | MATLAB | 4,930 | 103 | % function [] = RFT_ROI_topoplot_indiv(numSubs,badSubs,ROI_num,five_ROI)
% topoplot individual ROIs and save
% numSubs = 35; %number of all subjects
% badSubs = 28; %code of bad subjects
% ROI_num = 5; %how many ROIs to plot
% five_ROI = 2; %1-> plot all ROI_num ROI, 2-> plot only the best ROI
% Load necessary data
... |
51d8002256ca72e95efcbea125b16b1872908ca6ce05eece387e1fded58ee905 | MATLAB | 4,932 | 146 | function script10_save_computed_disp()
% Concatenate FOD and dispersion properties for all samples
%
% This script needs the results from script:
% script09_fods_dispersion.m
% and the information in the .mat files in the folder
% cc_cg_labels/
% The results of this script will be saved in folder
% White_matter_EM_03_D... |
5f331e8a8785ccf81738a64625012363ba1fd4263147e8d15d9e46a69a43edaa | MATLAB | 4,936 | 140 | % This script computes tissue mesh intersections with the XZ plane
% (coronal plane) located at Y=0 or elsewhere, displays and saves the
% result
%
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General
% Hospital & ECE Dept., Worcester Polytechnic I... |
741cc3c9398d3d20327c665350c4b968fa3e572b06af795ef48173e96ef8e7de | MATLAB | 4,937 | 142 | function [chi_res, SB_residual, SB_regularization, chi_M] = delta2chi_SFCR(deltaB, D, maskErode, DPWeight, MagEdgePer, chiEdgePer, lambdaSet, thred, AutoRefFlag)
% [chi_res, SB_residual, SB_regularization, chi_M] = delta2chi_SFCR(deltaB, D, maskErode, DPWeight, MagEdgePer, chiEdgePer, lambdaSet, thred, AutoRefFlag)
% d... |
f88283aae18c7930c2d0b627f115408693c4bbc3a8ce8aafaef140d1330c85e7 | MATLAB | 4,937 | 136 | % extractTrialsIinj.m
%
% Helper function for computeLegFictracEphysIinj_1Fly() that takes in one
% trial's worth of data for one parameter and divides it into reps based
% on current injection
% Output appends trials into cell array given as input
% Has option to align position data by subtracting value at stimula... |
1ddd79df17a47d248f54724f431ce8cb34c65e14bbc06fd0a0a770cb60ee58aa | MATLAB | 4,941 | 141 | % OPENSINGLE Opens a single file for analysis (Lisberger lab format)
% beh = opensingle(filename) Opens the file into Hannah's dat format
% including manual alignment of complex spikes
% beh = opensingle(filename, loadCS)
%
% Hannah Payne 2012
% https://sites.google.com/a/srscicomp.com/maestro/data-analysis/... |
a0d64c4e208e90662e378bf7e7574d0501ac5d7c2961f0d577e2750f5948615c | MATLAB | 4,941 | 152 | % plotOptoContStepParam_allFlies.m
%
% Function that takes output files from extractContStepParamsOpto_fly() and
% generates a plot of the specified legStep param for each leg. Plots
% mean for each fly as well as across flies. User selects one dur, one ND,
% one step parameter
% Select output files through GUI
%
%... |
a87214aa47620a41d09e897c7d43d19ade15510411874346b78b44be51670286 | MATLAB | 4,942 | 189 | function [] = Fig01_AveTimeCourseSongTrans()
% Code for plotting calcium signals and song probabilities during song type transitions in Fig. 1i,l.
GT = 'dPR1NP'; % Fig. 1i
% GT = 'TN1SGNP'; % Fig. 1l
selpath = ['../Data/Summary_',GT,'/'];
load([selpath,'Transitions'])
%%
switch GT
case 'dPR1NP'
Ylim_1 = ... |
0c064688e1ff13883e4c89b0fbe483d02f4604b73e569911028f3d97669c2919 | MATLAB | 4,943 | 137 | function fleiss(x,varargin)
% FLEISS: compute the Fleiss'es kappa
% Fleiss'es kappa is a generalisation of Scott's pi statistic, a
% statistical measure of inter-rater reliability. It is also related to
% Cohen's kappa statistic. Whereas Scott's pi and Cohen's kappa work for
% only two raters, Fleiss'es kappa works for... |
8eec6661abbd1789d03598180d5b935bad9a8ffd635dd694511f4fd1ac1e355c | MATLAB | 4,946 | 133 | classdef FeatureExtraction < types.core.NWBDataInterface & types.untyped.GroupClass
% FEATUREEXTRACTION Features, such as PC1 and PC2, that are extracted from signals stored in a SpikeEventSeries or other source.
% REQUIRED PROPERTIES
properties
description; % REQUIRED (char) Description of features (eg, ''PC1'')... |
7d14c16c17679ef317cdfbc13d4b35f8961d7054663bf3320f81a8890b1f6502 | MATLAB | 4,947 | 136 | classdef OptogeneticStimulusSite < types.core.NWBContainer & types.untyped.GroupClass
% OPTOGENETICSTIMULUSSITE A site of optogenetic stimulation.
% REQUIRED PROPERTIES
properties
description; % REQUIRED (char) Description of stimulation site.
excitation_lambda; % REQUIRED (single) Excitation wavelength, in n... |
24962d509bdc51a69ec9c407eb235a081a17b0189c284ecdea9dea26f9deb82e | MATLAB | 4,949 | 192 | function [] = ExtDataFig05_AveTimeCourseSongTrans()
% Code for plotting calcium signals and song probabilities during song type transitions in Extended Data Fig. 5j.
GT = 'TN1dsx';
selpath = ['../Data/Summary_',GT,'/'];
load([selpath,'Transitions'])
%%
switch GT
case 'dPR1'
Ylim_1 = [0 3.5];
Yhor... |
abd8a85262db3c84d2360f63b2e7dde45473bf5579c51236eb0f34bdaa4dcfac | MATLAB | 4,959 | 153 | % plotIInjContStepParam_allFlies.m
%
% Function that takes output files from extractContStepParamsIInj_fly() and
% generates a plot of the specified legStep param for each leg. Plots
% mean for each fly as well as across flies. User selects one dur, one amp,
% one step parameter
% Select output files through GUI
%
... |
0e7cf5967a7cdd99b61f1079abb3c3dcb32e22640f6cf2e96eee955eebad5cd8 | MATLAB | 4,963 | 106 | function [nodes,neur_ves] = branchGrowNodes(nodes,neur_ves,params,idx,dir)
% [nodes,neur_ves] = branchGrowNodes(nodes,neur_ves,params,idx,dir)
%
% Function to grow surface vasculature. Given a starting node (labeled as
% idx and dir), blood vessels are grown and branched with a distribution
% given by the parameters ... |
e4afc75871a0675230e95c54a77381b1369a56ba3f539454f69a9ff525a5902a | MATLAB | 4,966 | 164 | function V = spm_create_vol(V,varargin)
% Create a volume
% FORMAT V = spm_create_vol(V)
% V - image volume information (see spm_vol.m)
%____________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% John Ashburner
% $Id: spm_create_vol.m 8776... |
44c28132e97ead8c9983496cb8762e732f7cf7373c3b4035528768a3dbda09cb | MATLAB | 4,967 | 161 | % cfsWriteRL64c.m
% an example of writing a cfs file for data as RL4, RL8
% must have CFS64c.dll in matlab path
% calls matcfs64c.mexw64
% note: this is by far the easiest way to write from Matlab
% stays in native format, not problems with Y scaling (or offset)
% 20.02.09: JG Colebatch initial version
... |
311e5560a466e4fd898e199fa0074f836017bb155fdcb053e30e2baf2f8c8dde | MATLAB | 4,970 | 144 |
% This computes tissue mesh intersections with the XY plane
% (transverse plane) located at Z=0 or elsewhere, displays and saves the
% resulting window parameters
%
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General
% Hospital & ECE Dept., Worc... |
5f52a9ab239004f7af97f02672d2fe016a239c54aa3f74f92334825463e3a80b | MATLAB | 4,977 | 113 | function [ds_corrs,ds_ratio,ds_xct,ds_xca,ds_skew,ds_mean,ds_vect] = get_partial_correlations_ratio(ds_events,activity_length,bin_size,type,id_list)
start=0;
corrs=cell(3,length(ds_events));
%%
count=0;
ds_corrs=[];
ds_ratio=[];
ds_mean=[];
ds_vect=[];
for d = 1:12
load(['Z:\Potter et al datasets\' ds_events(d... |
dad6a365345f00a469d55a96ed823b8dd17cd512addb5f4203d9116ad50d0c4a | MATLAB | 4,980 | 137 | % plotScatterPCAStepParamsEphys.m
%
% Function to plot scatterplot of output of savePCAinterpStepParamEphys()
% Plots each turn bout set 1 PC1 vs set 2 PC1.
% Select output file of savePCAinterpStepParamEphys() through GUI
%
% INPUTS:
% datDir - path to folder containing savePCAinterpStepParam() output files
% plot... |
8e4658d81d80494cb853129e925ca8502fb4743d3dc42d7303c58ef7da95c37c | MATLAB | 4,981 | 145 | % mglCreateTexture.m
%
% $Id$
% usage: mglCreateTexture(image)
% by: justin gardner
% date: 04/10/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Create a texture for display on the screen with mglBltTexture
% image can either be grayscal... |
a135cf07c0cf3e0b67584eab2bea8354d250172842576c70c3acd154a589889a | MATLAB | 4,981 | 144 |
% This computes tissue mesh intersections with the XY plane
% (transverse plane) located at Z=0 or elsewhere, displays and saves the
% resulting window parameters
%
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General
% Hospital & ECE Dept., Worc... |
09f1e927245c8881770f1df095ed4547f3613960f100c389c2b2ac42d6732611 | MATLAB | 4,984 | 142 | function script01_props3d(samplei)
% use regionprops3 on the segmented EM samples
% samplei = the index of the EM sample to analyze
%
% This script needs the original DeepAcson segmentations in folder
% White_Matter_EM/*/
% These can be downloaded from:
% https://etsin.fairdata.fi/dataset/f8ccc23a-1f1a-4c98-86b7-b6365... |
201da927d9f32efeaea559ef85b3354d0fef259fa4fd1fa9bb0251feef40ff88 | MATLAB | 4,984 | 114 | %% CREATE VARIABLES/ SET PARAMETERS
if ismac
base = '/Volumes/Runyan/Potter et al datasets/';
else
base= 'Z:\Potter et al datasets\';
end
datasets = {'EC1-1R/2021-11-05/', 'EC1-1R/2022-01-13/','FL5-3L/2022-03-09/','FL5-3L/2022-04-18/','FU1-00/2022-03-17/','FU1-00/2022-05-10/','GE3-00/2022-10-27/',...
'... |
3a66ad4eb66f23f52df5cb034873201fd3637aad6926c5dbf393f592eb7272f9 | MATLAB | 4,985 | 132 | function [clusinfo, sp, Params, recsesidxIncluded] = LoadPreparedClusInfo(KiloSortPaths,Params)
%% Here we're going to actually load in all the sessions requested - only clusinfo to save memory for unitmatch
clusinfo = cell(1,length(KiloSortPaths));
addthis=0;
for subsesid=1:length(KiloSortPaths)
if isempty(dir(fu... |
8cf52352af174a395ba312b746564744d013d41f9bbc948b88ca51ee617e2ecd | MATLAB | 4,985 | 139 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% This makes the figure of Proportions of cell types by day and dataset
% (Figure S7).
close all
clear all
clc
% Paths
run('../load_figure_config.m')
INPUT_FOLDER = CHENGS_TASK_2C_FIGURES_CONFIG.DATA_FOLDER;
OUTPUT_FOLDER = CHENGS_T... |
0cabb5c3dc37555970dd3785e5b1da316a3b6d25c078bef5966279e54a6dce0f | MATLAB | 4,986 | 149 | % loadFreeWalkTrk2PData.m
%
% Function that finds the .trk file corresponding to the selected pData
% file(s), preprocesses the .trk data, and saves it into the pData file
% Assumes that .trk file name matches pData name in trial-#-date-time
% .trk file as standard output from APT
%
% Modified version of loadTrk2PData... |
066ff42f86d14784b4de1a6cc47360378e5878ea871c946fb46f5317e75c680a | MATLAB | 4,987 | 147 | clear
close all
clc
addpath(genpath('J:\Data\Matlab'));
%% Load file
[spreadsheet,sheetpath] = uigetfile('*.txt','Select a txt file'); % Load the excel spreadsheet
cd(sheetpath);
t = readtable(spreadsheet); % 1: number of segments, 2: index of seg type(1:soma; 2:axon; 3:dend),3:x,4:y,5:z, 6:dia, 7... |
34d32330831c6b0889e527a8d55d68d762f7d02a37ab8536d3963bf50ccfb810 | MATLAB | 4,987 | 144 |
% This computes tissue mesh intersections with the XY plane
% (transverse plane) located at Z=0 or elsewhere, displays and saves the
% resulting window parameters
%
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General
% Hospital & ECE Dept., Worc... |
bcd8a8e15a908cb1ec1acdc5836b6ca38c12174bd2a0ed1fe56bdecbbff74299 | MATLAB | 4,987 | 103 | % mglSystemCheck.m
%
% $Id:$
% usage: mglSystemCheck(toCheck)
% by: justin gardner
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% date: 02/24/15
% purpose: Check for problems with system setup. Should return true if no problem
% is detected. Called... |
53b8cb22c8a98e8e0c3f2ca78a8a65390f23a37c8deedd21e1362ba5bf8cd763 | MATLAB | 4,988 | 83 | %% Demo script
%% Demo file for running HiddenMarkovModel training and decoding on emission sequences form neural spiking data
%% authors: Stefano Diomedi
%% date: 22nd February 2024
%% For every details regarding the implementation and logic of these functions please refer to
% Diomedi, S., Vaccari, F. E., Ga... |
83edd2e7b508265f0630327eeaedc15b2b53ece1c274017a738c751fbbf7a1d7 | MATLAB | 4,992 | 132 | % callXYSwingStance.m
%
% Function to call swing, stance, and not moving based on comparing the
% movement of the leg in the xy plane to the movement of the ball in the
% xy plane. If the leg and the ball are moving in the same direction,
% stance; leg and ball moving in opposite directions, swing. Not-moving
% sp... |
869fc654c690421c8dd39b078072e77702e5265f7707a53aad66882456666c2c | MATLAB | 4,997 | 169 | function [] = ExtDataFig05_OptStim_TuningCurve_Song
% Code for plotting the tuning curves of pulse and sine songs induced by optogenetics in Extended Data Fig. 5e.
GT = 'TN1dsx';
TargetPeriod = [0,10];
%% parameters
nTrials = 6;
nStim = 6;
T = 1370; % T
DAQrate = 10000;
x1 = [0:1/DAQrate:190-1/DAQrate];
PreDurImg ... |
1cec646cc9db2576d2bf0a934f0cbcb4dad9613d360427e1494bc691076cc4d0 | MATLAB | 5,000 | 187 | function [] = ExtDataFig03_Example_TimeCourseRaw_dPR1_all()
% Code for plotting example traces for dPR1 ΔF/F in Extended Data Fig. 3b.
GT = 'dPR1';
Target_FileID = 2;
Target_Trial = 6;
FileID = Target_FileID;
%% parameters
Thre_pulse = 0.1;
Thre_sine = 0.6;
RecDur = 190;
DownSampleRate = 10;
nTrials = 6;
nStim = 6... |
25ff9c3337bf1612d7924f41206835647cca44064040d3f8b0190b6bbf7dadca | MATLAB | 5,002 | 125 | function [rot_tra] = rotation_translation(data, run, ID, varargin)
% ROTATION_TRANSLATION
% This function determines the translation vector and rotation angle
% to reframe the motion data into the new coordinate system based on the
% trajectory of the center of mass
%
% Use as
% [data_reframed, rot_angle, tra_vec] = ... |
9bfcf02dae0de3afed3655a18a0cabc006d17ebc1ec16c741740596134940351 | MATLAB | 5,003 | 144 |
% This computes tissue mesh intersections with the XY plane
% (transverse plane) located at Z=0 or elsewhere, displays and saves the
% resulting window parameters
%
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General
% Hospital & ECE Dept., Worc... |
c4926b9472aa9b6c198886cda07b6cd1e20134481767eccd319620383f613b78 | MATLAB | 5,005 | 153 | % selectDroppedFicTrac.m
%
% Function to manually select times in experiment where FicTrac was not
% tracking the ball. Save those indicies into fictracDat.mat, to allow use
% in future analyses.
%
% INPUT:
% none, but user selects trial folder to process
%
% OUTPUT:
% none, but saves dropInd variable into fictr... |
3239ec1d5734221a54b7b9b0042d481cf4617b4debf77c01e8107c460583fa02 | MATLAB | 5,007 | 161 | % createEphysLegFictracMovie.m
%
% Quick and dirty script to generate movie showing ephys recording, FicTrac
% variables, and leg movie. Starts from raw data.
% Made 8/7/20, used for videos for leading edge symposium and U19 talk. Now
% obsolete. Make new functions if new videos desired.
% full path to data folder
d... |
e1f16a830b7397c696d5ea6d2bfc3adda30d3e47a8a06f1a3f0f7ed887257aa8 | MATLAB | 5,013 | 200 | % mglSwitchDisplay.m
%
% $Id$
% usage: mglSwitchDisplay(displayID,<displayNumber>)
% by: Christopher Broussard
% date: 10/16/07
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: switch displays when using mgl to display to multiple displays
%
% ... |
73b1624abce3aa4c2c49b0fd131498e94cdb9b007bea5030a24798abfe95d585 | MATLAB | 5,014 | 177 | function gui_s (x, y)
%
% This file is used by FASTICAG
% The save dialog for saving the results
% @(#)$Id: gui_s.m 8776 2013-11-14 09:04:48Z roboos $
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Global variables
% Handle to the window
global hf_FastICA_Save;
% Handles to some... |
56442561dcb6af0296068bc084e6a32c57c13324ba79cbf26f2b425ff4d14eae | MATLAB | 5,016 | 150 | function write_gdf(filename, hdr, data);
% WRITE_GDF(filename, header, data)
% Writes a GDF file from the given header (only label, Fs, nChans are of interest)
% and the data (unmodified). Digital and physical limits are derived from the data
% via min and max operators. The GDF file will contain N records of 1 sample ... |
b2f5e60e0120614728d7017cf06b9ddb2a773934b8db79fe5253fc690927a0aa | MATLAB | 5,018 | 103 | % mglSystemCheck.m
%
% $Id:$
% usage: mglSystemCheck(toCheck)
% by: justin gardner
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% date: 02/24/15
% purpose: Check for problems with system setup. Should return true if no problem
% is detected. Called... |
b9da961d15c363c56793ed301afcaa2f8c96ad9fd2e2b92e7d61d067a0cb9db8 | MATLAB | 5,018 | 142 | classdef simul3Dcylinder_cuda < handle
properties (GetAccess = public, SetAccess = public)
sig;
TD;
dtime; Tstep; NPar; Nbvec; Din; Dex; kappa; res;
dx2t; dx4t;
bval; bvec;
end
properties (GetAccess = private, SetAccess = private)
D_cnt = [1 2 2 1 2 ... |
9641f262fe2b0ffd12313f28ecfeb4534e2417b1d35933344657f7780fb508b0 | MATLAB | 5,023 | 130 |
%% put data into matlab format
savename = TDT_MATformatBDH(1); %channel 1 or 2
%savename = FormatForFPpipe(sig,ref); %if data already converted, feed to FP pipe
% preload in sig and ref .mat
savename=strcat(savename,'.mat');
load(savename)
%% debleach, calc df/f, subtract 405 from 472... |
ae3052aa97e83b3ceab706d4cd9379f7fca0d7fc071aeea196dd2b15eec3370c | MATLAB | 5,023 | 151 | % getStepParamsSwingStance.m
%
% Function to get step parameters during swing and stance phases, instead
% of during 1st and 2nd half steps
%
% INPUTS:
% legSteps - struct of leg step data, output from processLegTrack(), with
% fields:
% maxIndsAll
% minIndsAll
% maxWhichLeg
% minWhichLeg... |
157b0c1639466d09536c3189e42b7616f42c4477e14496f960cb78e2615aa2c1 | MATLAB | 5,027 | 176 | function [procpar,msg] = aedes_readprocpar(filename)
% AEDES_READPROCPAR - Read VNMR (Varian) PROCPAR-file
%
%
% Synopsis:
% [procpar,msg]=aedes_readprocpar(filename)
%
% Description:
% The function reads the VNMR parameter file and returns a
% procpar-structure with parameters as structure fields... |
d4031657821d58cec9b63411573d61338c58d3c76f61d40ba58dfe8093aa3cca | MATLAB | 5,028 | 182 | function [] = ExtDataFig03_Example_TimeCourseRaw_TN1SG_all()
% Code for plotting example traces for TN1A ΔF/F in Extended Data Fig. 3i.
GT = 'TN1SG';
Target_FileID = 3;
Target_ROI = 1;
Target_Trial = 4;
FileID = Target_FileID;
Target_WithinTrialID = 6; % 4-4
TargetMic = 1;
Xrange = [(Target_WithinTrialID-1)*30+14 (T... |
16626219671bc9c085a66972e539a583e5a3afc0ced4891e73e5a88791b5e404 | MATLAB | 5,036 | 119 | function sal_opt = treeRankingSegment(I_p, grids, slabel, sc, sr)
[imh_p, imw_p, ~] = size(I_p);
[~, blobIndIm, ~, hierarchy] = getHierarchicalsuperpixels(I_p);
% if 0, imshow(showGrid_DownSamplingImage(I_p, blobIndIm)); end
if isempty(hierarchy),
sal_opt = zeros(imh_p, imw_p);
return;
end
if ndims(... |
ba2b3ab825c4c3fb3d506ff99a4a1cc8556cc3e54b37f8c3d2935bb400322f6e | MATLAB | 5,039 | 146 | % VL_SVMTRAIN Train a Support Vector Machine
% [W B] = VL_SVMTRAIN(X, Y, LAMBDA) trains a linear Support Vector
% Machine (SVM) from the data vectors X and the labels Y. X is a D
% by N matrix, with one column per example and D feature dimensions
% (SINGLE or DOUBLE). Y is a DOUBLE vector with N elements with... |
3d62c16b228617a98eeb462668a1d3d9f1f7e72adec9186b131f2e0c03def171 | MATLAB | 5,042 | 117 | function [] = plot_worm_frame_post_analysis_showing_path_no_projector_image(I, center_lines, centerline_color, centerline_stimulus,in_track_index,current_ellipse_ratio,smoothed_path_x,smoothed_path_y,stimulus_delivered,path_history,demo_mode)
% % % % % % [] = plot_worm_frame(I, center_lines, centerline_color, Uncertai... |
a8402cea53f10330c45dd1b5396d4bd6c85d58f27ce472df3f95214d2ef63472 | MATLAB | 5,042 | 163 | function [dat] = read_neuralynx_cds(filename, hdr, begsample, endsample, chanindx);
% READ_NEURALYNX_CDS reads selected samples and channels from a combined Neuralynx dataset with separate subdirectories for the LFP, MUA and spike channels
%
% Use as
% hdr = read_neuralynx_cds(parentdir)
% dat = read_neuralynx_... |
9d6e200d23cf29d1b412627a80f493780b88c1fc80a2e207459531304ec98414 | MATLAB | 5,044 | 122 | % figureS2 (data_dir, read_from_excel)
% creates figure S2 (line pltos, "Selectivity of responses to items and
% spatial locations"
%
% Inputs:
% data_dir (char): Directory path where data files are located.
% read_from_excel (logical): Indicates wh... |
2a8c0a1d4c86272b9e032dd78dcdd3616d5961fcae094d73c8620413a992449b | MATLAB | 5,046 | 115 | %%% demo of the full MIN1PIPE %%%
clear
warning off
gcp;
min1pipe_init;
addpath(genpath('../ANE'))
%% Set data and folder
patch_dims = [160,160];
list_Exp_ID={'Mouse_1K', 'Mouse_2K', 'Mouse_3K', 'Mouse_4K', ...
'Mouse_1M', 'Mouse_2M', 'Mouse_3M', 'Mouse_4M'};
num_Exp = length(list_Exp_ID);
rate_hz = 20; ... |
b94cd237db97f822181669dea5e4a1378123267bf055abd5f478327a4a7b8152 | MATLAB | 5,048 | 139 | function write_brainvision_eeg(filename, hdr, dat, event)
% WRITE_BRAINVISION_EEG exports continuous EEG data to a BrainVision *.eeg
% and corresponding *.vhdr file. The samples in the exported file are
% multiplexed and stored in ieee-le float32 format.
%
% Use as
% write_brainvision_eeg(filename, hdr, dat)
%
% See... |
ef28261e8a67496dba63b2759d1d21d69319b3c5c8ae96d7f9335a5051f38216 | MATLAB | 5,050 | 157 | % plotCondIndptStepParam_allFiles.m
%
% Function to plot 1D step parameter (i.e. not AEP or PEP) value across
% conditions. Each condition mean +/- SEM or std. Separate subplots
% for each leg. Specify one step parameter to plot. Select data (output
% of saveLegStepParamCond_indpt()) through GUI
%
% INPUTS:
%
% OUT... |
13cf2940dcd18b22a28ab59751c2e4b5fedcd4edfa4d4a26e38f1ad56cd042dd | MATLAB | 5,060 | 131 | function [lateral, order, gamma, beta, ratio, osci, level, psd] = judge(r, v, g, allTime)
%JUDGE give property of the parameter setting
% Detailed explanation goes here
% lateralSheet = zeros(delta_e_steps, delta_i_steps,5); % -1-NaN, 0-disagree, 1-agree
% orderSheet= zeros(delta_e_steps, delta_i_steps); % -1-NaN... |
3e181fa0b3d4ce5ff9937314302020c7312dc6d449feda9ae34db115f0fed7c8 | MATLAB | 5,060 | 158 | function vl_compile(compiler)
% VL_COMPILE Compile VLFeat MEX files
% VL_COMPILE() uses MEX() to compile VLFeat MEX files. This command
% works only under Windows and is used to re-build problematic
% binaries. The preferred method of compiling VLFeat on both UNIX
% and Windows is through the provided Makefile... |
38df0b5b8baa37b60f88578d3d40020134eac8d786069162ee24edb97927bbcf | MATLAB | 5,061 | 127 | %% Berron et al manual subfields in unfolded space
addpath(genpath([getenv('AUTOTOP_DIR') '/tools']));
APres = 256; PDres = 128;
unfoldedSubfields = nan([APres PDres,35]);
n=0;
for s = 0:34
sub = sprintf('%03d',s);
for LR = 'LR'
if LR=='L'; lr = 'left'; else lr = 'right'; end
AP = load_untouch_n... |
3ce6114cd68ac1acae84d38efc9684c0c10384c957a3372bc4ae85b9e036fbf1 | MATLAB | 5,067 | 153 | function [hh,ff] = old_freqz(b,a,n,dum,Fs)
%FREQZ Z-transform digital filter frequency response.
% When N is an integer, [H,W] = FREQZ(B,A,N) returns the N-point frequency
% vector W in radians and the N-point complex frequency response vector H
% of the filter B/A:
% -1 ... |
779cd1ae44e08dd988036dd4252eb3ad0a7d9a0a8f4339523065a4ae758e37ba | MATLAB | 5,067 | 114 | function mltp_make_pfstats_excel(obj, session)
pfStatsFilename = fullfile(session.getAnalysisDirectory(), 'pfStats.xlsx');
pfStatsMatFilename = fullfile(session.getAnalysisDirectory(), 'pfStats.mat');
if isfile(pfStatsFilename)
delete(pfStatsFilename)
end
if isfile(pfStatsMatFilename)
... |
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