sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
fa18b4e4cd585bdb4d20a04c9c67c947ccf5202a0d90785b49c32ece0561cd88 | MATLAB | 6,724 | 221 | clear
[task_info,supPath,MaestroPath] = ...
loadDBAndSpecifyDataPaths('Vermis');
K_FOLD = 10;
req_params.grade = 7;
req_params.cell_type = {'PC ss', 'CRB','SNR', 'BG msn'};
% req_params.ID = [4135, 4208, 4209, 4343, 4390, 4569,...
% 4570,4602, 4604, 4605, 4623, 4625, 4658, 4701,...
% 4791, 4806, 4821, 484... |
c0eaa5857469b14cb2c0d6dffd45031468525fe847b662783ebca61dde0c22b9 | MATLAB | 6,728 | 191 |
%% CLEAR AND INITIALIZE
clear;close all;clc;tic;
%% DEFINE THE STRUCTURE THAT WILL HOLD ALL THE PARAMETERS
params = [];
%% DEFINE INPUTS AND OUTPUTS
params.data_folder = 'F:\2022-131\PAVLOV\DATA';
params.analysis_folder = 'F:\2022-131\PAVLOV\Analysis';
params.figure.folder = params.analysis_folder;
%% DEFINE THE... |
c2c11cd5cb4feae61d48e8438901c49239cf53cfbefabac402cc35a05514ef7a | MATLAB | 6,728 | 115 | %Plots PSD response to flicker stimulation, for all flicker frequencies tested.
%2024/02/25
function plot_mod_by_stimfreq(fnames,ref_method)
%fetch data:
mod_sigs=readtable([fnames.analysis_folder '/LFP/static_ent/LFP_pvalue_table_ref' ref_method '.csv'],'ReadVariableNames',true,'ReadRowNames',true,'PreserveVa... |
3852d0b4697af886a102db774fc32b2cbad8ca648ad98e4d751a13af59b14767 | MATLAB | 6,732 | 162 | % different from redefineStimulusClassesUpdated02.
% removed prune channels step to observe auditory cortical regions.
% For sbj 12 and afterward
function plotSingleTrialRaw(sbjNum)
saveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\RawDatafNIRS\Experiment' num2str(sbjNum)];
processedDataDir... |
f99b6ace2140a576833c90866de86d129fbc2dc9d1083c1001cebde6ad377f16 | MATLAB | 6,744 | 169 |
%% ------------------- participant information -------------------
opt.session_role = {'player','observer'};
opt.epoch_type = {'DecisionMaking','Feedback'};
opt.participant_pair = {'Player_sub01', 'Observer_sub02';
'Player_sub03', 'Observer_sub06';
'Player_sub04', '... |
c322607109150ac04e4830fd09dbdd3ffef70ba3c7550a69c9c3ce4283e8bd63 | MATLAB | 6,751 | 223 | % This demo shows how a simple ROI decoding can run on simulated 3D
% toy data. The toy data are Matlab matrices and no real fMRI or EEG data,
% i.e. results do not necessarily generalize to real data.
%
% The script creates multiple volumes in the shape of an ellipsoid where
% all entries are filled with random... |
31e786c85d5b644196c55b0bf89edb9e5e1d4466dd07a63174f704ff87c1a759 | MATLAB | 6,754 | 276 | % function design = make_design_xclass(cfg)
%
%
% Function to generate design matrix for cross classification using the
% decoding toolbox. This function uses all training data and all test data,
% without cross-validation.
%
% IN
% cfg.files.chunk: a vector, one chunk number for each file in
% cfg.files.name. ... |
d196b7896ebdd417bc9fbedcda7c836fcbc47993425fb9ecac34637fced06027 | MATLAB | 6,757 | 180 | function [regionNames, regionNumberOfDataPoints] = drawStatisticsOnBody (bodyPartsNames, numberOfDataPoints, bodyPartsNames2, numberOfDataPoints2)
% Inputs:
% bodyPartsNames - cell of strings with body parts names
% numberOfDataPoints - number of points per body part, optional. Will
% mark as one score pe... |
fd84c32f9649b20f18702d0741e7b316c2a6bc195ce42e14863f33523032c214 | MATLAB | 6,761 | 177 | function gatherAlignedImagesFromAllSubjects(libraryNames,outputFolder,...
octBScanToUseAroundCenter,isAverageOCTBScans, outputImagePixelSize_um, ...
minPatchSizeX_pix, minPatchSizeY_pix)
% This script gathers OCT & Histology images from all subjects in library
%% Inputs
% Main dataset folder to generat... |
8ab1ef86c2bcef159dc81c2e111f7a9e22e5c9a94d0528f5cb97f867d846bdbb | MATLAB | 6,763 | 262 |
function Duszkiewicz2024_Figure_SingleRec_NPX
% This script reporoduces panels from:
% Figure 1
% Run in folder A8603-210602 to reproduce the manuscript figure
% Dependencies:
% TStoolbox
%TODO: script dependencies, links to external functions
% Copyright (C) 2023 by Adrian Duszkiewicz and Adrien Peyrache
%
% Thi... |
0669a3c8c51146c97a23938425cd30151511440d5c7b7b63d868ab0034c21fbf | MATLAB | 6,765 | 220 | function PLS_bootstrap_nsynth(GENEdata_root, MRIdata_root, ncomp, bootnum, working_dir)
% PLS regression and boostrapping
%% ------------------------- SCRIPT INFORMATION ---------------------------
%
% PLS Regression and bootstrapping
%
% This script will perform a PLS regression analysis for relative gene
% expression... |
eccf95ab42760c187af764ab22a9cded65b55aa6716188a09b9e915b9f64ce7e | MATLAB | 6,765 | 146 | #import <UnityAds/USRVUnityPurchasing.h>
#import "UnityAdsUtilities.h"
#import "UnityJsonAdditions.h"
struct UnityPurchasingProduct {
const ushort* productId;
const ushort* localizedTitle;
const ushort* localizedDescription;
const ushort* localizedPriceString;
const ushort* isoCurrencyCode;
co... |
638c5b324a932104899565145cc033395f450191fca95977a1d06469ba192e8c | MATLAB | 6,771 | 189 | function [deformed, transformationMatrix] = run_affine_registration(...
moving,fixed,startScale,stopScale,numberOfIterationsPerScale,...
varargin)
% RUN_AFFINE_REGISTRATION Run affine registration on provided data
%
% run_affine_registration(model,fixed,startScale,stopScale,numberOfIterationsPerScale)
%
% INPUT... |
8742fd059af68814d18edeaab5504f53fc14accbfea693a408e3840818f1c24c | MATLAB | 6,772 | 195 | % spaceOp
% 1: original feature space
% 2: PCA transformed space
% 3: log transformed space
function plotHistogramFeats(sbjNum,numClasses,spaceOp,saveOp)
processedDataDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' num2str(sbjNum)];
rawDataDir = ['C:\Users\mn0mn... |
f7ff22795026dc975ee41ab6405c8fc02a4cc3aeff0cb6fd5866fd7b465157a0 | MATLAB | 6,787 | 141 | % Render brain surface turbulence by node
clear
close all
cd ('/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/timeseries/outputs/Turbulence_30_06_2022/')
addpath('/Volumes/LASA/TBI_OpenNeuro/Shared_code/Turbulence/TBI_turbulence_current_code/')
%% Load node-level turbulence for different groups and conditions
load('turbu_by... |
b3d93b1b46be818a3bb6aad68ef6c2988582ea9c68506f2e738d14c114346595 | MATLAB | 6,810 | 198 | function [new_results all_acts all_test_idx] = apply_trained_classifier(subj,old_results,regsname,sel_test_name,varargin)
% [NEW_RESULTS ALL_ACTS ALL_TEST_IDX] = APPLY_TRAINED_CLASSIFIER(SUBJ,OLD_RESULTS,REGSNAME,SEL_TEST_NAME, ...)
%
% Takes the OLD_RESULTS structure (including its already-trained
% classifiers), and... |
1dcf7f54e532dbce84657d313b047c9fcb0e99294ee488cb9fef2215723de4e3 | MATLAB | 6,813 | 187 | function [deformed, displacementField, displacementFieldInverse] = ...
run_non_rigid_registration(...
moving, fixed, method, accumulationMethod, ...
startScale, stopScale, numberOfIterationsPerScale, ...
fluidRegularization, fluidRegularizationData, ...
elasticRegularization, elasticRegularizationDa... |
b4b646189482d10bd42047843fce0305258f9fa7f2f66479215ed17ecc38ff19 | MATLAB | 6,821 | 140 | function [X, clabel, cfg] = simulate_oscillatory_data(cfg)
% Simulates EEG-like oscillatory data consisting of a superposition of
% narrowband sources (typically serving as signal sources) and broadband
% sources with a 1/f spectrum (typically serving as noise sources).
% All sources are initially created as broadband ... |
2eb43399730f4e7154e0b37bdb499c23f4d8cd9b918dbf99fafe063eb87befdc | MATLAB | 6,822 | 202 | % test_main Test freezeColors / unfreezeColors
%
% JRI 4/2007
% Author:
% John Iversen
% john_iversen@post.harvard.edu
disp(' ')
disp('==================================================')
disp('==freezeColors / unfreezeColors interactive test==')
disp('==================================================')
dis... |
7376c6f687276abe05b6bb5288f398fadd94048d91d65151264488b988649814 | MATLAB | 6,833 | 205 | % @title Test script for Hill synapses
% @file test_Hillsyn.m
% @author Romain Beaubois
% @date 11 Aug 2021
% @copyright
% SPDX-FileCopyrightText: © 2021 Romain Beaubois <refbeaubois@yahoo.com>
% SPDX-License-Identifier: GPL-3.0-or-later
%
% @brief Test script for Hill synapses
%
% @details
% > **... |
e554d7e20179aa64eacaeccc9cb6d1e7419d0cccc4ebc0e2b4afb1cb982f206f | MATLAB | 6,854 | 185 | % function regressor_names = design_from_spm(spm_folder,save_on)
%
% This function will extract the relevant information for the current
% decoding from an SPM design matrix and will save it as
% regressor_names.mat to the folder of the design matrix.
%
% INPUT:
% spm_folder: The folder where the design matrix ... |
8c7b412091eb62b210f1f1d10f852fc562bed973603fa73ebf9c0a5d612f8277 | MATLAB | 6,859 | 138 | function plot_GLM_CV_Performance(sbjNum,respData,numClasses)
fs = 50;
timePt = (0:0.5*fs:6*fs)+2*fs;
%trialTime = [-2 15];
saveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\RawDatafNIRS\Experiment' num2str(sbjNum)];
processedDataDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAtte... |
a5c8319d5dfe757d69149145ea33c3fd65b21bc95a184e526d2358d4c1005433 | MATLAB | 6,862 | 179 | %% STABLE ANTI-PHASE CYCLE IN THE PARAMETER SPACE (C1,C2) or (C1,epsilon)
%% SETTING
clear
Path = [pwd, '\IN_sims\'];
rng(13) % seed
% TIME
T = 1500; % time span
dt = 0.01;
N_eq = 3; % number of equations
% PARAMETERS
gNa_0 = 30;
gK_0 = 20;
gL_0 = 0.1;
ENa_0 = 45;
EK_0 = -80;
EL_0 = -60;
I_0 = 2... |
c7ff8d1841a3bc071369b57dea3412d730bf9a5454833b0d1e4aefe192087ab8 | MATLAB | 6,892 | 215 | function PLS_bootstrap(GENEdata_root, MRIdata_root, ncomp, bootnum, working_dir)
% PLS regression and boostrapping
%% ------------------------- SCRIPT INFORMATION ---------------------------
%
% PLS Regression and bootstrapping
%
% This script will perform a PLS regression analysis for relative gene
% expression in 180... |
7b9fd0c0199509b6320f4695b3ad2a5949d874b313cd37125419bcadb441969e | MATLAB | 6,896 | 195 | %dsRFPlot plots responses to drifiting grating stimuli (spike rasters and
%polar plots) and RF maps from sparse noise stimuli. Uses as input
%'..._analyzed.mat' file.
%% CLEAR MEMORY AND LOAD DATA
clear; clc; close all
[fileName, pathName] = uigetfile('*.mat', 'Select analyzed .mat file');
if fileName == 0
... |
2d425a15db46bc3aa6ea2c8cc96597946b27426cf9e5ea75218ca5002fcdee36 | MATLAB | 6,898 | 170 | clear; close all; clc;
%% load comparison grids
Topic = 'Ai148_Grm6Cre';
Day = '110318';
Cell = 1;
Exp = 5;
FolderPath = '\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\Noise\Analysis\DataStimulus\';
FileName = sprintf('%s%s_%s_%d_%d', FolderPath, Topic, Day, Cell, Exp);
AnkGrids = load(FileName);
An... |
1ce185335d88ab3682e46501b25ea2459312e741ca5f143e02d999f0ac328c41 | MATLAB | 6,908 | 156 | %% Plot Raw Data and Spikes (FF and FB)
% Ensure you are in the correct directory that houses the .mat files for
% raw data and spikes
%visualizes data from spikes table data structure
clear
clc
close all
parent_dir='D:\Brewer lab data\HFS\test 4';
spikes_table=load(strcat(parent_dir,'\','allregion_unit_matched_spon.m... |
fc2183e724f7d95da7a8d033b84e1e1e912b2438d8f9dbb876dce5b44371ce6d | MATLAB | 6,908 | 300 | anal_dir = '~/Dropbox/Analysis_Thalamus/';
figDir = [anal_dir 'Figures/AdnPostsub/'];
bin = 0.5;
nbBins = 100;
xcWAll = [];
xcSAll = [];
xcRAll = [];
cellTypeAll = [];
cch = [];
mwf = [];
spkW = [];
dayIx = [];
shankIx = [];
neuIx = [];
cIx = [];
poHd = [];
for ii=1:length(datasets)
[dumy fbasename dumy]... |
4bf81094521f02999e985a813b70efd8133921669a6c78cb8c96ab13f1b6aa9a | MATLAB | 6,909 | 215 | function registration_example3d(varargin)
% REGISTRATION_EXAMPLE3D 3D example for image registration
%
% registration_example3d()
%
% See also REGISTRATION_EXECUTE
% Copyright (c) 2012 Daniel Forsberg
% danne.forsberg@outlook.com
%
% This program is free software: you can redistribute it and/or modify
% it under the t... |
7c3c6277ba37fa6054a018d5b3818f33b9179350c2270543cd69f5153d79e0f4 | MATLAB | 6,909 | 249 | function varargout = permcca(varargin)
% Permutation inference for canonical correlation
% analysis (CCA).
%
% Usage:
% [pfwer,r,A,B,U,V] = permcca(Y,X,nP,Z,W,Sel,partial,Pset)
%
% Inputs:
% - Y : Left set of variables, size N by P.
% - X : Right set of variables, size N by Q.
% - nP : An integer re... |
7dbd4d3fc539132f0c1a680cf83beda4f761a9f9b99ea5d5d4812e27333951ae | MATLAB | 6,909 | 141 | % function misc = decoding_load_misc(cfg, passed_data, misc)
%
% Function to load miscellaneous data from files for decoding.m such as
% residuals from a general linear model. If they have been passed already
% using misc as input, this function is skipped.
% At the moment, we only allow getting residuals. For la... |
7bc755c8674ce9f9e0bbc7adbcf388de383477bae6c3d12dbdf168b72d3dbc5a | MATLAB | 6,911 | 139 | #import "UnityJsonAdditions.h"
NSString *const NSUnityPurchasingTransactionDetailErrorDomain = @"NSUPURTransactionDetailErrorDomain";
NSString *const NSUnityPurchasingTransactionErrorDetailErrorDomain = @"NSUPURTransactionErrorDetailErrorDomain";
UPURTransactionError UPURTransactionErrorFromNSString(NSString *error) ... |
d1b22c24d1086a76b566b0e023d8e7dad32277cc65e733cedfffbf9d688163f2 | MATLAB | 6,913 | 203 | % LOAD_SPK_FROM_DAT and detrend
%
% CALL SPK = LOAD_SPK_FROM_DAT( FILEBASE, SHANKNUM, CLUNUM )
%
% GETS FILEBASE dat file assumed to be FILEBASE.dat
% SHAKNUM
% CLUNUM clu number/list of spike times/empty (all spikes in... |
ee0cc29977ca900da735118a4359ad6b38a61a08c7463f6900fbcf46e798117c | MATLAB | 6,929 | 269 | function setpaths(options)
%
% USAGE:
%
% setpaths
% setpaths(1)
% setpaths(0)
%
currdir = pwd;
try
warning('off','MATLAB:rmpath:DirNotFound');
appname = 'Homer3';
% Parse arguments
addremove = 1;
if ~exist('options','var')
options = '';
elseif isnumeric(options)
... |
f17e81f042ad5e12889364b7403baa5c7184bacf2e832e5b86866dee3db37444 | MATLAB | 6,943 | 142 | % Classifier unit test
%
% Classifier: naive_bayes
tol = 10e-10;
mf = mfilename;
%% test whether probabilities within [0, 1]
%%% Create Gaussian data
nsamples = 60;
nfeatures = 10;
nclasses = 3;
prop = [];
scale = 0.01;
do_plot = 0;
[X_gauss, clabel_gauss] = simulate_gaussian_data(nsamples, nfeatures, nclasses, pro... |
8566a3ac4fb24b3e89864bb01a26c14f94c52e96dcbc80444b1367bffa43288d | MATLAB | 6,947 | 241 | clear all
eeglab;
%spmfile = 'D:\home\Data\DBS-MEG\LN_C21\170314\SPMstim\LN_C21_STIM_R_20_off.mat';
spmfile = 'D:\home\Data\DBS-MEG\LN_C10\270613\SPMstim\LN_C10_STIM_R_5_off.mat';
stimfrq = 5;
peak_offset = 50;
D = spm_eeg_load(spmfile);
%% apply tsss
S = [];
S.D = D;
S.tsss =... |
8e4560711dcd6c3ee2851f43b131aa6792e735697f29246507ae304e2fd4cc48 | MATLAB | 6,947 | 143 | function [X, clabel, cfg] = simulate_coupled_oscillations(cfg)
% Simulates two datasets with coupled oscillations. This is useful for
% multivariate regression scenarios such as CCA.
% Simulates EEG-like oscillatory data consisting of a superposition of
% narrowband sources (typically serving as signal sources) and b... |
fe351444ad589c1ceb33ef12e1bc34dfadbe032b6b09f0180d8bf6191e20b083 | MATLAB | 6,949 | 186 | %% Create mea tables
% Creates tables compatible with
% compute_allregion_AFR_table_at_P1s_203011.m ultimately for creation of
% connectivity movie.
% In order to use, directories must be populated with matlab variables
% conaining wave_clus cluster_class variables. different files need to be
% created for feedforward ... |
99ecdbab4cdb82a3681dfad11a314105952d78415f7b61bd5391eb4bdddad09d | MATLAB | 6,953 | 177 | %dsRfAnalysis. This scripts computes keye outputs and parameters of
%responses to drifting grating and sparse noise stimuli. Uses as input
%'..._parsed.mat' file.
%% CLEAR MEMORY AND LOAD DATA
clear; clc; close all
[fileName, pathName] = uigetfile('*.mat', 'Select parsed .mat file');
if fileName == 0
err... |
70fb55e7a14e4fe05c68274fc40886a464286481f8d39396868df0a195e87cf6 | MATLAB | 6,954 | 179 | function [zeropad_table1, zeropad_table2]=zero_pad_table_210804(table1,table2)
% Zero pads two tables with identical fields
% Assumes Combine has been run first so the two vectors are of equal length
% and the spikes are ordered acending
if all(~ismember({'Subregion','Electrode Pairs','Spike Area','Conduction Time',... |
1d111f7004b97f8aca496d6fa8c9a526e50c86042a4d9d0326ce1957fc1f9066 | MATLAB | 6,958 | 268 | %% Single cell PSTHs
clear;clc
[task_info,supPath,MaestroPath] = ...
loadDBAndSpecifyDataPaths('Vermis');
PROBABILITIES = [25:75];
req_params.grade = 7;
req_params.cell_type = 'CRB|PC';
req_params.task = 'saccade_8_dir_75and25|pursuit_8_dir_75and25';
req_params.ID = 5000:6000;
req_params.num_trials = 120;
req_... |
b8cad2ae55dd775e6387c468f8aa12f8470e91306afb317b48c4728da4448090 | MATLAB | 6,965 | 176 | %% Frequency in bins
clear
clc
close all
% parent_dir="D:\Brewer lab data\HFS\No Stim\Wells_5SD_500maxSD";
parent_dir_nostim="D:\Brewer lab data\HFS\no stim\Wells_5SD_500maxSD";
parent_dir_theta="D:\Brewer lab data\HFS\Theta Stim\Wells_5SD_500maxSD";
parent_dir_HFS="D:\Brewer lab data\HFS\HFS Stim\Wells_5SD_500maxSD";... |
ee4497a48d0452295d792b36173aec50a3546607083a70c0392458a1bae2e36e | MATLAB | 6,966 | 178 | close all; clear; clc;
addpath('\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\BasicFunctions');
addpath('\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\BipolarCellTerminal\Analysis');
MainPath = '\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\NaturalSceneVideo\Analysis\';
load([MainPath 'Re... |
bd16f9147e7b2102b837337bc9e9670439f92ff482714195b1747ff173a260ff | MATLAB | 6,975 | 224 | function [subj] = set_mat(subj,objtype,objname,newmat,varargin)
% Updates the MAT contents of an object
%
% [SUBJ] = SET_MAT(SUBJ,OBJTYPE,OBJNAME,NEWMAT,VARARGIN)
%
% Updates the MAT contents of the object of OBJTYPE type called
% OBJNAME with NEWMAT. Does lots of error-checking to try and avoid
% possible problems
%
... |
6eb1b658d5605ea5ad87ef0a2a3d22683102632004aa18eaa99309cfb7926518 | MATLAB | 6,999 | 185 | %% STABLE ANTI-PHASE CYCLE IN THE PARAMETER SPACE (C1,C2) or (C1,epsilon)
%% SETTING
clear
Path = [pwd, '\ML_sims\'];
rng(13) % seed
% TIME
T = 1200; % time span
dt = 0.01;
N_eq = 2; % number of equations
% PARAMETERS
g_Ca_0 = 4;
g_K_0 = 8;
g_L_0 = 2;
E_Ca_0 = 120;
E_K_0 = -80;
E_L_0 = -60;
phi_... |
5012e08bd3246b5cd5b888c3064a66bd8005ffc3fc021f0d4af3431916165f0f | MATLAB | 7,011 | 205 | function [anova_subregion,anova_ff,anova_fb]=axon_stats_211110(ff_table,fb_table)
%get number of subregions
subregions=unique(ff_table{1}.Subregion,'stable');
for i=1:length(subregions)
current_subregion=subregions(i);
num_axons=0;
axons_per_tunnel=[];
conduction_times=[];
for j=1:length(ff_table)... |
09d943bf40702108f9d7e792349b947624e5b8ff46eb3ad07b6599c81687cc66 | MATLAB | 7,017 | 229 | function [Ehat, Phat, Phat_source] = modelClosedloop(K, I, head_vel, target_vel, ...
light, sine, pc_stim, N)
% Optional: to simulate a population of PCs, provide a matrix for K.PH and/or K.PR.
% Each col is a cell, rows are filter timepoints
ncells = size(K.PH, 2);
% Optional: add noise in visual pathway
if ~exi... |
0a6228ad4853b781d730352693526f907766b46aeb56aeca82abe0331fbbab08 | MATLAB | 7,019 | 229 | function awsCopyFileFolder(source,dest,v)
%This function copys files and folders to from/aws
if ~exist('v','var')
v = false; %Verboose mode
end
if isempty(source) || isempty(dest)
error('source: "%s", dest: "%s". Cannot copy an empty path');
end
%% Set Credentials
awsSetCredentials (1); %Write cr... |
828b598ff16f9934cdb50eee88d2b6cee0b97047c37d7ec15b50f3e8a6497416 | MATLAB | 7,023 | 213 | % 1. Add the path of the current script to the search path
% 2. Change the current folder to "Fig7 and Supp Fig7 8 Airpuff_map plasticity"
% 3. analyze the data within the subfolder of "Fig7 and Supp Fig7 8 Airpuff_map plasticity"
% which is WT control, WT tetanus, SK2 tetanus, or CaMKII tetanus
% 4. click "Run" t... |
e9e5f7b439804ab0ef86fac82ff191e33abf82153f8ec75ccff34552c815a1c3 | MATLAB | 7,037 | 157 | %% Extract video oding information needed for pre-processing of the data
% Check if variable Video_Codes_perP exists already. If yes, load it.
if exist([output_dir output_general 'VideoBasedMarkers\Video_Codes_perP.mat']) == 2
load([output_dir output_general 'VideoBasedMarkers\Video_Codes_perP'],'Video_Codes_p... |
cd43c9e120f3deb02d3d988a5c540185f5ba7180648192cd9bb9a9151dbd80c1 | MATLAB | 7,050 | 196 | % Preprocessing unit test
%
% impute_nan
tol = 10e-10;
% Get default parameters
param = mv_get_preprocess_param('impute_nan');
%% block of Nans at beginning and end of matrix
clabel = ones(5,1);
X = magic(5);
X(1:3,1:2) = nan;
X(end-2:end,end-1:end) = nan;
param.impute_dimension = 1;
param.method = 'forward';
[~, X... |
c02572a996bfb38568af8ba6587e8d86f335f3fcced59e9b48fed548c9074fc5 | MATLAB | 7,067 | 213 | % PrairieLinkRawDataStream
% ========================
% Convert and save raw data on-line
% Lloyd Russell 2016. Optimised on 2017-03-10. Added 'GUI' on 2017-04-11
%
% To do:
% ------
% * Fix first run bug - very first tim e running does not connect to PV
% * Header could be improved by containing bitdepth, and ... |
e2f763f494128ca88afba3e7edf697c6f7bafb50c17c6a5a2d9d2b71d18dd912 | MATLAB | 7,069 | 197 | % STATUS: Inactive
% split into single and multi groups.
% new. Use trials from dcNew var
function plotPerformanceVsTimeAllChns_MultiOnly(sbjNum,fileName,fileDir,featureName)
% channels pruned stored in mlActAuto var
%saveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Exp... |
20560d91eebf4e1b4642c9b92528d69958593caf77a4c784d29afb1d1e45ef46 | MATLAB | 7,072 | 185 | function [freq, freqnoise, params] = simulate_data(opts)
ndip = ft_getopt(opts, 'ndip', 50);
phs = ft_getopt(opts, 'phs', pi/4);
amp = ft_getopt(opts, 'amp', 0.4); % magnitude of correlation
snr = ft_getopt(opts, 'snr', 0.5); % SNR parameter for simulation sensor noise versus emptyroom signal... |
4b8dd472dbad7881e823ca0d7d0182316e97e7bb25ebb540825e35b49bf6427e | MATLAB | 7,106 | 195 | function scGenerateHistologyInstructionsFile(stackConfig,outFilePath,iterations)
%INPUTS:
% stackConfig - can be stackConfig structure, or file path to stackConfig
% outFilePath - where to save file, file format can be pdf or txt
% iterations - optional, specify which iteration of sending the sample to
% ... |
84ad8ed3db74dde88f6750d7748043c8c6d264b255a635848b085f257af944e0 | MATLAB | 7,107 | 84 | function [spon_areas_table_ff,spon_areas_table_fb]=split_table_fffb_211130(spon_areas_table)
spon_areas_table_ff={};
spon_areas_table_fb={};
for i=1:length(spon_areas_table)
if strmatch('up_times',spon_areas_table{i}.Properties.VariableNames)~=0
spon_areas_table_ff{i}=table('Size',size(spon_areas_table{i})... |
0e6f031e2977ba442e114a6f2b159e97af5a973ae462bf239971e14e7406b75e | MATLAB | 7,108 | 190 | function [lfp] = bz_GetLFP(varargin)
% bz_GetLFP - Get local field potentials.
%
% Load local field potentials from disk. No longer dependent on
% FMAT/SetCurrentSession.
%
% USAGE
%
% [lfp] = bz_GetLFP(channels,<options>)
%
% INPUTS
%
% channels(required) -must be first input, numeric
% ... |
fee11055e773621aebf3d45ea4545f0d68e647c0055ee367342b906be8fe5311 | MATLAB | 7,120 | 204 | % figure 2C & 2S2: measuring mirror-symmetric viewpoint tuning index in
% trained/untrained networks
% last update: October 24 2022
% Amirhossein Farzmahdi
clear
close all
clc
% fixed random seed for regenerating same result
seed = 42; rng(seed)
% add path
addpath(genpath('functions')) % set the directory
images_dir... |
7bb2ce1d93d876db3e0f39a4f5dd4392dbffb93b2ce2deee0d8e96e361c9d8b0 | MATLAB | 7,121 | 188 | %% EXAMPLE OF CONTAMINATION ANALYSIS
% This script analyzes the spectrogram correlations between and audio file
% and a brain recording files. Both files should be MAT-files with a
% defined structure called RecordingMatfiles (see files in 'Test data'
% folder). 'Data_preparation_example' script shows how to create th... |
b244b1580b125dee40770c1e48c70d393e91af7d2895642bc3fc51ec556d875c | MATLAB | 7,124 | 204 | % figure 2D & S2: measuring mirror-symmetric viewpoint tuning index in
% trained/untrained networks
% last update: December 23 2023
% Amirhossein Farzmahdi
clear
close all
clc
% fixed random seed for regenerating same result
seed = 42; rng(seed)
% add path
addpath(genpath('functions'))
images_dir = 'mat_files/';
% ... |
5f86df6621748bbccbffbc2b9128c70f89dfc4c5db1d0724d285d1aa2431f7c9 | MATLAB | 7,127 | 193 | function sleepSeries = doSleepDet2(data, epoch, V, P, C)
%DOSLEEPDET2 detect sleep episode in actigraphy DATAINMIN
%
% REF.: [1] Cole et al. Automatic Sleep/Wake identification From Wrist
% Activity. SLEEP. 15(5):461-469,1992.
% [2] Jean-Louis et al. Sleep estimation from wrist movement
% qua... |
428fdfec6c34806bef9c40b9183650769422db9f440db2053de0251092b007f9 | MATLAB | 7,133 | 203 | % Create block regressors to calculate betas for each condition for the
% HAXBY 2001 dataset
%
% Kai, 2014/09/08
% note: subj 5, run 9 (=chunk 8) has only rest condition, so we throw this out
%% very basics
function matlabbatch = level1_ruwise_all_classes(sbj, runjob)
if ~exist('runjob', 'var')
runjob = 0;
end
... |
9aed5e81020d2e7a4a1e77f8d06065f935cc1c42d4a97d8faa9a8aa0bbecac34 | MATLAB | 7,136 | 215 | % split into single and multi groups.
% new. Use trials from dcNew var
% option to re-run training and classifying or pull from saved data
% sbjList is cell array of experiment "number". Ex: sbjList = {'01','02'};
% sbjList = {'08','10','12','13','14','15'};tInd = 8;featureName = 'Cumulative Sum';numRept = 5;numClasses... |
34f9ab6a4a8630f6b7d5a2cf630bc95834d9e09c8c8fb4639487ae612aca971b | MATLAB | 7,146 | 180 | % Tutorial script for predicting the EBC data - "Introduction" Version
%
% This tutorial will guide you in a step-by-step fashion through some
% of the analysis necessary to recreate one of the Princeton EBC
% Team's submissions to the competition. This tutorial is geared fro
% those who have never seen the MVPA toolb... |
c2496d7fb593b6c232d1cd1b3624366432e0d8789b7361096693fa0cd1497d7a | MATLAB | 7,154 | 192 | % split into single and multi groups.
% new. Use trials from dcNew var
function plotPerformanceVsTimeVarName(sbjNum,varName,fileName,fileDir,featureName,timePt)
% channels pruned stored in mlActAuto var
%saveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' num2st... |
aadc4f2d14c768f65edc6103449ffe28e166b256fee85394b380f90d21071eab | MATLAB | 7,165 | 199 | function [subj] = create_xvalid_indices(subj,runs_selname,varargin)
% Creates a selector for each iteration for leave-one-out cross-validation.
%
% [SUBJ] = CREATE_XVALID_INDICES(SUBJ,RUNS_SELNAME,...)
%
% Adds the following objects:
% - selectors group with nRuns objects, called NEW_SELSTEM
%
% Each iteration has a s... |
4470dfa156c48c65c5275029221b6f3b28e7b1bbe34a8958dd8c7d609559893d | MATLAB | 7,169 | 256 | function [Xr,NN_MF]=DBDNMF(X,M,s,options,k)
%%% X:[n m]
% Code for DBDNMF: A Dual Branch Deep Neural Matrix Factorization Method for Drug Response Prediction
% inputs
% -- X: an n by m matrix with missing entries (m variables, n samples)
% -- M: binary mask matrix for X, 1 indicate observed, 0 indicate missed
% -- s: n... |
8f7e21c5b6147bc0d87814402992fff5404b7ba234c2669dc39aa0382dea8032 | MATLAB | 7,177 | 223 | % split into single and multi groups.
% new. Use trials from dcNew var
% option to re-run training and classifying or pull from saved data
% sbjList is cell array of experiment "number". Ex: sbjList = {'01','02'};
% sbjList = {'08','10','12','13','14','15'};tInd = 8;featureName = 'Cumulative Sum';numRept = 5;numClasses... |
bd526a8e5a175744dc16d616e058f3ee9530886a1045795a19b83e01e4a1fb58 | MATLAB | 7,181 | 192 | function [update] = ...
polynomial_expansion_registration2d(moving, fixed, varargin)
% POLYNOMIAL_EXPANSION_REGISTRATION2D Estimates a displacement field using polynomial expansion
%
% INPUT ARGUMENTS
% moving - Moving image
% fixed - Fixed image
%
% OPTIONAL INPUT ARGUMENTS
%... |
adabde88d7ff7a5d6057f31c3fb61924478ad07d792fc6138405f1e1ece34200 | MATLAB | 7,186 | 267 | % show the angle distribution
np = size(Y, 1);
ndim = 3;
rng('shuffle');
ChooseClip = 1:11;
%% for axes alignment
cids = Qual < qualthr;
%% Surround
nIter = 1000;
gSize = 90;
%
a = CSctr;
a(cids) = nan;
b = BSctr;
b(cids) = nan;
targetv = log(median(a(:, ChooseClip)./b(:, ChooseClip), 2, 'omitnan'));
... |
bed744757c441158c087eba27782a9456fe75d4fa0d1814368407791f3c58625 | MATLAB | 7,187 | 273 | %% Behavior figure
clear
[task_info,supPath, MaestroPath,task_DB_path] = ...
loadDBAndSpecifyDataPaths('Vermis');
req_params = reqParamsEffectSize("both");
lines = findLinesInDB(task_info,req_params);
cells = findPathsToCells (supPath,task_info,lines);
behavior_params.time_after = 1500;
behavior_params.time_b... |
15758387a2fdbfd93227775803883569766eb5d769165e6ba640819199f7fc2a | MATLAB | 7,201 | 172 | %% simulateCameraCalibrationData.m
%
% This script simulates camera calibration data to validate the calibration
% script on.
clear all; close all; clc
%% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
% Parameters
% path to the folder containing the calibration stacks
outputdir... |
9e91394daa93a4840ee5f9d4f47b6343cb10af8631bb8f7d73be0a4c7ea85e28 | MATLAB | 7,204 | 165 | %This script turns the data into a csv for data analysis in r
%finding path to statistical analysis folder
current_path = pwd;
parent_path = fileparts(current_path);
if ismac
csv_save_path = strcat(parent_path,'/Statistical_analysis_R_studio/data/');
else
csv_save_path = strcat(parent_path,'\Statisti... |
36420eb1a755f914fdc2c7b9774491e88e1c44fafdd67fde176f6283441d5097 | MATLAB | 7,217 | 193 | % STATUS: experimental.
% Not for publication.
%
% SYNTAX:
% preprocessFNIRS06_CV_ssBeta(sbjNum,rawDataFN,respData)
%
% DESCRIPTION:
% Set SS Beta a priori to 1. No GLM fitting here.
%
% RESTRICTION:
% Only for sbj 08 and 10.
%
% INPUTS:
% sbjNum - subject ID. 2-digits string. Ex: '08'.
% rawDataFN - 1xN cell array... |
59de66fe6e69a441a629fbb89a7e02652afc73b849e82d938a29266aa5910c8a | MATLAB | 7,238 | 232 | function [] = zeroify_write_afni(allvols,sample_brik_name,new_brik_name,varargin)
% Writes out BRIKs using the zeroifying method
%
% [] = ZEROIFY_WRITE_AFNI(ALLVOLS,SAMPLE_BRIK_NAME,NEW_BRIK_NAME, ...)
%
% This takes in one or more volume's worth of data (x y z t)
% and the filenames for the BRIK/HEAD pair that you wa... |
8a473c9d2db7f2cff7c6a3673a3578e7257d13c07e838a961a6dc1f5769f0eb8 | MATLAB | 7,268 | 189 | %% Main Flow Tracking Analysis Script
% The goal of this analysis is to track actin dynamics in actin
% fluorescence movies using Optical Flow and Crocker-Grier Least-Squares
% Minimization Particle Tracking.
clear
% close all
clc
%%
%% Global parameters %%
% File Detail Parameters
pxPerMicron = 9.35;%15.38;% fo... |
1d1890ff97790d425ac29fa5e764fb83433d2b4987739908ff090feba3cef781 | MATLAB | 7,275 | 291 | function setup()
global h
global nSteps
global dirnameSrc
global dirnameDst
try
currdir = filesepStandard(pwd);
h = waitbar(0,'Installation Progress ...');
[~, exename] = getAppname();
setNamespace(exename)
dirnameSrc = currdir;
dirnameDst = getAppDir('isdeployed');
... |
5bdb8f6652148fd4b3e1ef44f0310218ead2f13416b2a385b7a96f5fc3dbe6b9 | MATLAB | 7,275 | 279 | function file_content = tsvread(filename, field_to_return, hdr)
%
% Load text and numeric data from tab-separated-value or other file.
%
% USAGE::
%
% file_content = tsvread(filename, field_to_return, hdr)
%
% :param filename: filename (can be gzipped) {txt,mat,csv,tsv,json}
% :type filename: char
... |
c034a4e01ef26508334dbe50960019ee5121724661aa1e175b900921753552ec | MATLAB | 7,276 | 204 | function [updateField, updateCertainty] = ...
morphon3d(moving, movingCertainty, fixed, fixedCertainty, ...
scale, varargin)
% MORPHON3D Estimates a displacement field between moving and fixed using the Morphon
%
% [updateField, updateCertainty] = morphon3d(...
% moving, movingCertainty, fixed, fixedCertain... |
335850cfe00fab627e6ba0c0d92cec6f3629c164d9b4ca8e35aa04852aff3e41 | MATLAB | 7,282 | 192 | % Arithmetic average of HRFs
% Light line color, plot ind HRFs
% Different processing for sbj 08 and 10 because they use old SD design and
% has both single and multi conditions
% old codes
function grpPlotHRF(sbjList)
figSaveDir = 'C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\... |
c1f4c803ace5f61dd0283125be20970f7fa4e4f00c8c2682a538eea0fc70f14b | MATLAB | 7,290 | 197 | % STAUTS: Inactive
% split into single and multi groups.
% new. Use trials from dcNew var
function plotPerformanceVsTimeAllChns(sbjNum,fileName,fileDir,featureName)
% channels pruned stored in mlActAuto var
%saveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' n... |
713adf76f5c03a97d2a772b001abc2632157e35f5fc112fa5bc9a3ad3ce6c030 | MATLAB | 7,309 | 200 | %% EXAMPLE OF CONTAMINATION ANALYSIS
% This script analyzes the spectrogram correlations between and audio file
% and a brain recording files. Both files should be MAT-files with a
% defined structure called RecordingMatfiles (see files in 'Test data'
% folder). 'Data_preparation_example' script shows how to crea... |
de9ad4f44cbd9034d4883ab3e85d182fcf8e5a00304cfd5e3361f619b1c6782e | MATLAB | 7,310 | 186 | % figure S6: measuring mirror-symmetric viewpoint tuning for Leibo and
% alexnet models
% last update: April 03 2023
% Amirhossein Farzmahdi
clear
close all
clc
% main settings
ncategory = 9;
nview = 9;
nexemplar = 25;
nobj = ncategory * nexemplar;
ncond = 2;
npc = 39;
n = 227;
m = 227;
savefig = 1;
% add path
addpa... |
a193bb15ab2ce3d3e6db89e3994ea0478116935534677b389fb33f85b310bf47 | MATLAB | 7,316 | 250 | %FindRipples - Find hippocampal ripples (~200Hz oscillations).
%
% USAGE
%
% ripples = FindRipples(samples,<options>)
%
% samples filtered LFP (one channel).
% <options> optional list of property-value pairs (see table below)
%
% ================================================================... |
e7f4647de9d9acd599871b11567f7a62e65b5ba9a24bb58ba85d141a3cad0e3e | MATLAB | 7,323 | 160 | function [S, B, S_eye, S_pc] = ...
buildLinearFitMatrices(I, head, target, hevel, PC, sines, light)
% [S, PH_basis, EH_basis, R_basis, T_vel_basis, T_acc_basis,...
% T_vel_step_basis, T_acc_step_basis, PE_basis, EP_basis] = ...
% buildLinearFitMatrices(I, head, target, hevel, PC, sines, light)
%
% Takes the time domain... |
233c1f9387be703b03e617f45c849781fcf1484b2d25e7a543930c3ddc3fca45 | MATLAB | 7,327 | 258 | % Detect red and blue LEDs position in a video file and creates a 'led' file
%
% USAGE
%
% Process_DetectLED(videoFile,<options>)
%
% videoFile path to Basler video file, including the '.avi'
% extension or not
% <options> optional list of property-value pairs (see table be... |
ae4e4cc6b92565c93edcf3d83c44202867a88a9ff31054e474a1e39c335989a2 | MATLAB | 7,352 | 307 | % rgb.m: translates a colour from multiple formats into matlab colour format
% type 'rgb demo' to get started
%
% [matlabcolor]=rgb(col)
% matlab colors are in the format [R G B]
%
% if 'col' is a string, it is interpreted as
%
% [[modifier] descriptor] colour_name
%
% where
% modifier is one of (slightly, normal, ... |
bf8ad1e20e5ce3cb7adc113c021b33fdb15f4e52f0332276bbf6cb6151382e9d | MATLAB | 7,363 | 179 | %% Visualize slopes Well to Tunnel
load("D:\Brewer lab data\HFS\Temporal Analysis\No Stim\AFR Output Full Index slide 10sLM\concatenated_source_table.mat")
% pair=199;
pair=find(AFR_table.fi==3 & AFR_table.well_names=="K11" & AFR_table.tunnel_names=="G10-u1");
row=AFR_table(pair,:);
for i=1:3000
if i==2... |
8333182e46d1b367c1a636d016a26c30ab5ff608d10b73ed095392dd00122e5e | MATLAB | 7,371 | 157 | function [CC_recon_ratio,CC_recon_FC_r]= CC_recon_marmoset_activity(W,X_RS,U,n_null)
% (1) assess CC eigenmodes explain brain activity in marmosets
% (2) compare the accuracy of CC eigenmodes against SC eigenmodes
zX_RS = X_RS;
% % =========================================================================
% % ... |
130e22fbe7c3f9396ded15c13614381256ee19b5b5db687d53d65f0b8b19984f | MATLAB | 7,382 | 212 | function [ hfig ] = FieldSynthesisInteractive( mask, doshift, gaussianLineSigma )
%FieldSynthesisInteractive Create an interactive line scan demonstration of
%field synthesis
%
% INPUT
% mask - mask at the pupil, which is the Fourier transform of electrical
% field at the focal plane
% doshift - if true, shift t... |
0254c81300394afd5c29b734f092234d452b2451d80780b6c2ddb7711419ac2a | MATLAB | 7,389 | 265 | function [deviations meanpats mean_deviations_per_cond] = plot_deviations_from_condmean(subj,patname,regsname,runsname,varargin)
% [DEVIATIONS MEANPATS MEAN_DEVIATIONS_PER_COND] = PLOT_DEVIATIONS_FROM_CONDMEAN(SUBJ, PATNAME, REGSNAME, RUNSNAME, ...)
%
% Designed for debugging classification performance. It just runs
%... |
7555447a5d94e98a8db0d5a6597db1ed203ebbda7fef8a90a2c7776a9ed03e12 | MATLAB | 7,399 | 188 | % Arithmetic average of HRFs
% Light line color, plot ind HRFs
% Different processing for sbj 08 and 10 because they use old SD design and
% has both single and multi conditions
% new codes, ignore grpPlotHRF
function grpPlotHRF_Version02(sbjList)
figSaveDir = 'C:\Users\mn0mn\Documents\ResearchProjects\spatailAttenti... |
aea80899fba679937e033c4701431f382d1b1ca8ae2ba399550ce9748f6bcda6 | MATLAB | 7,401 | 217 | % split into single and multi groups.
% new. Use trials from dcNew var
% option to re-run training and classifying or pull from saved data
% sbjList is cell array of experiment "number". Ex: sbjList = {'01','02'};
% sbjList = {'08','10','12','13','14','15'};tInd = 8;featureName = 'Cumulative Sum';numRept = 5;numClasses... |
c0a823e342819bb237e500e0a1cecefb8c882f2204622a6996a029e0922594e2 | MATLAB | 7,405 | 213 | function check_registration()
% CHECK_REGISTRATION Checks that the data struct registration is ok
%
% check_registration
%
% INPUT ARGUMENTS
% N/A
%
% OPTIONAL INPUT ARGUMENTS
% N/A
%
% OUTPUT ARGUMENTS
% N/A
% Copyright (c) 2012 Daniel Forsberg
% danne.forsberg@outlook.com
%
% This program is free software: you can r... |
3584d1fbefef59956e25df668241d3b6ea79388d445c76455667b7bb617b423c | MATLAB | 7,425 | 312 | function [errmsgs warnmsgs] = unit_class_ridge(varargin)
% USAGE :[ERRMSGS WARNMSGS] = TEST_(type)
%
% This is a script that tests the functionality of the ridge
% regression scripts, train_ridge.m and test_ridge.m It tests that
% the function rejects bad parameters and runs the regression
% through some basic test ... |
cdc3a121ab7f280f21938c20412309c113855a52521503183f2d8e961b5c3009 | MATLAB | 7,437 | 275 | %% Analysis of spatial information and exploration-dependent place cells
% ZhouLab, iHuman, ShanghaiTech, 07/30/2021
clear all
close all
clc
addpath(genpath('helpers'))
addpath(genpath('Example_data'))
load('Data_MS#6.mat')
%% Pre-processing behavior videos to generate anmail moving trajectories
% addpa... |
1bb6d54a786c33ec462b67b4790178b2b864d7a8d1124cd69f3fe0ab8fc6f6b0 | MATLAB | 7,441 | 226 | % fNIRS version
function plotBands_fNIRS(sbjNum,saveOp)
numClasses = 3;
exportDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' num2str(sbjNum) '\Figures\HRFs'];
saveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Exper... |
92b0635d2f86c819aefcd652a07a9549b55eed61468597b139f8b6387ad451e5 | MATLAB | 7,448 | 165 | % Extract single HRF from dcNew variable, the output of GLM fitting function
% save to mat file.
% All 4 basis, for sbj 12 and after. For 08 and 10, use createSingleTrialHRF_Updated_DiffBasis(sbjNum,respData,numClasses)
% For subject 15, exclude first trial because first trial starts at 0.08s,
% cannot get -2s pre-onse... |
d66f49f0b34116cf165228988eb1ba3d42e9bfcabb4614c2ad85ba8ea553ebe3 | MATLAB | 7,462 | 167 | function [ResBVC] = generateAllBVCResponses_FShuf(Res,ModMaps,varargin)
% Batch function for generating BVC responses for all data, for randomised data, using .
%
% [Res] = generateAllBVCResponses_FShuf(cellIDList,ModMaps,DataIn,varargin)
%
% Inputs: Res - Existing results from getBasicSpatScores.
% ... |
3bcd67af5fc1a6b817ba346adaa15794065a0841f6c7d0099c60e1ab9222bd57 | MATLAB | 7,471 | 301 | function Duszkiewicz2024_Figure_SingleRec_IsomapRaster
% This script reporoduces panels from:
% Figure 7, Extended Data Figure 10
% run in folder A3706-200313 to reproduce the manuscript figure
% Dependencies:
% TStoolbox
% CircStat toolbox
% TODO: script dependencies, links to external functions
% Copyright (C) 2... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.