sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a28eae5758ba7508d2ee9b01dc76422ffca6eb5e26f1f64da77cfeb626eb581b | MATLAB | 16,516 | 508 | ID='Gi17547'
inputname=strcat('SortedData_', ID, '.mat');
load(inputname)
disp('===LGL MSD inhibitory response during stance===');
temp0=[];
temp1=[];
temp3=[];
temp7=[];
for i=1:length(STANCE_LEFT.EXC(:,1))
if STANCE_LEFT.EXC(i,1)==0 & STANCE_LEFT.EXC(i,10)<0
temp0=cat(1,temp0, STANCE_LEFT.... |
fc34a9be8f1dfa2b70b6db016e80de351bd80aaa7d411bbf4e0d97284cec266b | MATLAB | 16,531 | 440 | %% Pipeline for processing fMRI phase and magnitude data for QSM using the QSM toolbox
%
% fMRI presents the possibility of saving phase data, which can be used for
% QSM or as input to other phase-sensitive MR imaging pipelines
% 29 Nov 2022
% Editors (alphabetical order):
% Alexander Jaffray: ajaffray@physics.ubc.ca... |
b769d32df5715be759d15e1a34251ea67e5d8b90e07c0af6eaa712f0c1bed683 | MATLAB | 16,543 | 548 | function hgfMapOrt = saOrientation(fnTS,TS,DAVersion)
%% function hgfMapOrt = saOrientation(fnTS,TS,DAVersion)
%
% Calculate and display orientation map
%
% Input:
% - fnTS is the TS.mat filename, including pathname and extention (.mat).
% - TS is the trial structure.
% - DAVersion is the DA version.
%
% Output:... |
3b147d2a8ea0a9d17b5115ca9117ec0de06595d7a830e8419c6ed335cf069f06 | MATLAB | 16,545 | 1 | function B=inpaint_nans(A,method)
% INPAINT_NANS: in-paints over nans in an array
% usage: B=INPAINT_NANS(A) % default method
% usage: B=INPAINT_NANS(A,method) % specify method used
%
% Solves approximation to one of several pdes to
% interpolate and extrapolate holes in an array
%
% arguments (input):
% A... |
ede4bdf7674aef8c8c571cb4a14eeede78821712c1652ca2173863afe6452ae3 | MATLAB | 16,593 | 303 | function fluor = GetROIfluor(expt, sbxInfo, ROI, fluor, deform, loco, varargin) % , T
%
IP = inputParser;
addRequired( IP, 'expt', @isstruct )
addRequired( IP, 'sbxInfo', @isstruct )
addRequired( IP, 'ROI', @isstruct )
addRequired( IP, 'fluor', @isstruct )
addRequired( IP, 'deform', @isstruct )
addRequired( IP,... |
122f4c308778f4955c714fb12abfdb8e41b1e6759bae62f922dbd5d0abf957d7 | MATLAB | 16,599 | 329 | function [reg_transforms, varargout] = RegisterSBX(mov_path, sbxInfo, refImage, params, varargin)
% NOTE: hardcoded path to ImageJ.
IP = inputParser;
addRequired( IP, 'mov_path', @ischar )
addRequired( IP, 'sbxInfo', @isstruct )
addRequired( IP, 'refImage', @isnumeric )
addRequired( IP, 'params', @isstruct )
a... |
e87c00c9ca1162216ecc848ba90592eeac81bd73dfc5932cb2b5ad8c1ff454a5 | MATLAB | 16,602 | 417 | function TrainOneMouseAtATime(unifyContextClasses ,averageAllBoutsFromSession ,...
NumTrees,TakeJustTheta,TakeJustGamma,matlabImpute,imputeIters, ...
substractMouseMean, usedMouseId,LeaveOut,balanceClasses,...
excludeClassesFromTrain,excludeClassesFromAnalysis, useStdMatrix, outFname)
%LeaveOut can be... |
81a40f515975f425721148cd85d60f51382974b35c5a3f865133154b114eb4fc | MATLAB | 16,621 | 270 | function cm_data=plasma(m)
cm = [[ 5.03832136e-02, 2.98028976e-02, 5.27974883e-01],
[ 6.35363639e-02, 2.84259729e-02, 5.33123681e-01],
[ 7.53531234e-02, 2.72063728e-02, 5.38007001e-01],
[ 8.62217979e-02, 2.61253206e-02, 5.42657691e-01],
[ 9.63786097e-02, 2.51650... |
3c5d90c548738f5a98c76cc7ca124707cae1a055a1cb79e72d2d8371befa59da | MATLAB | 16,625 | 271 | function [cm_data]=inferno(m)
cm = [[ 1.46159096e-03, 4.66127766e-04, 1.38655200e-02],
[ 2.26726368e-03, 1.26992553e-03, 1.85703520e-02],
[ 3.29899092e-03, 2.24934863e-03, 2.42390508e-02],
[ 4.54690615e-03, 3.39180156e-03, 3.09092475e-02],
[ 6.00552565e-03, 4.69... |
83b072a925f401fed37c53b7c3390f20f0c63af6a23821285aed0051a6d5f547 | MATLAB | 16,642 | 339 | %% compare all/exp/comp decodings
decodingDataPath = 'D:\MATLAB\Dura\decodingAnalysis.mat';
if exist(decodingDataPath, 'file')
fprintf('\nLoading %s', decodingDataPath);
load(decodingDataPath);
else
thetaBinWidth = pi/8; % /2
NactBin = 10;
thetaLim = [-pi,pi; -pi,-pi/2; 0,pi/2]; %
minF... |
853f9d6a2a6139ab9bdf3dcd3de71822661e01dfec3deb15d192c7479109302f | MATLAB | 16,652 | 438 | function [coef,alphas,offset] = fracridge(X,fracs,y,tol,mode,standardizemode)
% function [coef,alphas,offset] = fracridge(X,fracs,y,tol,mode,standardizemode)
%
% <X> is the design matrix (d x p) with different data points
% in the rows and different regressors in the columns.
% <fracs> is a vector (1 x f) of one or ... |
6d28fc86c8cadfcbb83aaf8acbde2420a13aa654e0d8a4a35afbf992b55b866e | MATLAB | 16,716 | 367 | ccc;
saveFolder = 'C:\Users\gio\Documents\MATLAB';
mainFolder = fullfile(saveFolder, 'Two_photonMat');
collectTimeSeries = false;
if collectTimeSeries
%%
cd(mainFolder)
[~,list] = system('dir /S/B *CsChrimson');
list = textscan(list, '%s', 'Delimiter', '\n');
expFolders = list{1};
l = 1;... |
e7832bae137d83377e8d97668fa90acd229a1bd5f922e3efd71b0d77ce6a8330 | MATLAB | 16,720 | 377 | %@file OptimizeNeurostim.m
%@authors Marco Bonizzato https://github.com/mbonizzato
% Samuel Laferriere https://github.com/samlaf
% Rose Guay-Hottin https://github.com/RoseGH20
%@version 1.0 / June 2021
%Full, variable-lengthscales implementation of GP-BO optimization of neurostimulation
%T... |
ca36094900d3882f5ef0dcd30f7f8aae4aae77bc1214165662ca6e029235f1d5 | MATLAB | 16,741 | 367 | %% Bootstrap for HT's extracted matrix data INFO:
clear all; close all; clc
plotting_params.vars = {'ID', 'EEG power PSD', 'pre-Sz HON activity', 'Sz HON activity', 'post-Sz HON activity'};
data_dir = '/Users/handow/polybox/Submission/DSE paper/Submission/Nat Com/Raw source data/Matlab file/Fig 2 Sz HON modeling... |
bc36911196bc5fda5cb18fcb1ca6b1c311ef9b9cfbc878010b9db88d57c063c9 | MATLAB | 16,761 | 455 | function view = stGridFit(view,params)
% stGridFit - fit spatiotemporal retinotopic model along grid (coarse stage)
%
% the structure of the code follows rmGridFit
% 2020/12 Insub Kim:
if notDefined('view'), error('Need view struct'); end
if notDefined('params'), error('Need params'); end
%------------------------... |
f3f6624f2a86b2f75e8d7185baf0a0920b408ea3b711918d80dee3c2f29a196b | MATLAB | 16,934 | 295 | function [maxLikeTheta, likeTheta, errStruct, P, Pdens, trainData, testData, decodeLim] = DecodeDirection(deformIn, activityIn, varargin)
% Decode the direction of stretch from the neural activity using the maximum likelihood method
IP = inputParser;
addRequired( IP, 'stretchIn', @isnumeric )
addRequired( IP, 'acti... |
4c4f9c3602bf5a49aefb1ca9bbf2c265a69e73dbf517937a8bb239860d1cd073 | MATLAB | 16,996 | 597 | % load('E:\learningAnalysis\summaryManyMice_includingOldEnvGoodMoreMice\runingLocationConsistency\meanAllConsLoc.mat');
% load('E:\learningAnalysis\summaryManyMice_includingOldEnvGoodMoreMice\runingLocationConsistency\semAllConsLoc.mat');
% meanG=meanAllConsLoc;
% semG=semAllConsLoc;
%
% load('E:\learningAnalysis... |
d8e8d164f4ddc289489e76eb685a1d73e27ff64018b9227f3174d69dd238de10 | MATLAB | 17,027 | 440 | % ADVANCED CLASSIFICATION
%
% This tutorial covers more complex classification scenarios such as
% higher-dimensional data (time-frequency), searchlight analysis across
% multiple dimensions and precomputing of kernels.
%
% Contents:
% (1) Create a time-frequency dataset
% (2) Classification of 4D time-frequency data
%... |
0eeb2d41ad497e33f08d162f0257ad86d909ad42836fdac936b182e1f4aca917 | MATLAB | 17,054 | 536 | function saveName = st_sim_makeSessionTable(sessionDir,rmFiles,viewType)
%% create table for fMRI pRF
if notDefined('sessionDir')
sessionDir = pwd;
end
if notDefined('viewType')
viewType = 'gray';
end
if strcmp(viewType, 'inplane')
viewType = 'Inplane';
elseif strcmp(viewType, 'gray')
viewType = 'Gra... |
f1bafa72bba2e13e00081fff7dfd238d53a3bf67e76d1c1038933b212679bf9b | MATLAB | 17,063 | 380 | % NEURON_TEMPLATE_TREE Export tree as NEURON file.
% (trees package)
%
% [name, path, minterf, tree] = ...
% neuron_template_tree (intree, name, options)
% --------------------------------------------------------------------
%
% Saves a complete tree in the section based neuron '.hoc' format.
... |
cb4da2635ac3ce80d2a6de20de4cff5c917e568f06a3fd67b9c2d4f8e56cff1e | MATLAB | 17,086 | 353 | figure('Units','normalized', 'OuterPosition',[0,0,1,1], 'color','w');
for x = x3Dcsd %xPresent
preScans = 1:expt(x).scanLims(expt(x).csd); % Pre-CSD scans
csdScans = (expt(x).scanLims(expt(x).csd) + csdBout{x}(expt(x).csd).scan{1}(1)):(expt(x).scanLims(expt(x).csd) + csdBout{x}(expt(x).csd).scan{1}(end));
... |
f5f8cfcddcbf444a129bd4e952d5c7a60fc2f7682e185c46a7c1e2b97f1bf0b1 | MATLAB | 17,092 | 309 | %first column = channel number on probe. Convention is ch. 1 is at top left of PCB
%and number wrap around in counter-clockwise fashion.
%second column = x coordinate, horizontal distance to reference electrode in microns. Convention is
%for reference electrode to be at bottom left corner of array when array
%points... |
f3a021d9ca97de07f7c3263cecf068324cbeff00f00b7eca33955333e9768da9 | MATLAB | 17,095 | 309 | %first column = channel number on probe. Convention is ch. 1 is at top left of PCB
%and number wrap around in counter-clockwise fashion.
%second column = x coordinate, horizontal distance to reference electrode in microns. Convention is
%for reference electrode to be at bottom left corner of array when array
%points... |
c90bfedc44581da625d29109abdf6b1a1f1a9225d4f5b527212443d9d908e452 | MATLAB | 17,123 | 424 | % This script loads in highly processed data to generate some ephys validation plots.
% Access to the real data can be provided on request (the data-sets are
% very large in size).
clearvars
% point to fig_8_ephys/data directory
data_dir = uigetdir();%
cd(data_dir);
% Generate lateral photoinhibition curves for ALM... |
02fbc63c85adab3d12e14a90e8f318f4daba5731a0ebbfa30bcead43e5baf511 | MATLAB | 17,175 | 422 | function ElectodesClassificationMatlabFuncV2(unifyContextClasses ,averageAllBoutsFromSession ,...
NumTrees,TakeJustTheta,TakeJustGamma,matlabImpute,imputeIters, ...
substractMouseMean, usedMouseId,LeaveOut,balanceClasses,...
excludeClassesFromTrain,excludeClassesFromAnalysis, useStdMatrix, useLFP, useFea... |
b055483af66963fa5931e8a7fd3b08f901c60ea34aead86fc50c55baefdb44fb | MATLAB | 17,240 | 555 |
clear;
%% function hgfMapOrt = saOrientation(fnTS,TS,DAVersion)
%
% Calculate and display orientation map
%
% Input:
% - fnTS is the TS.mat filename, including pathname and extention (.mat).
% - TS is the trial structure.
% - DAVersion is the DA version.
%
% Output:
% - hgfMapOrt is the handle of... |
78885a5a112d078797833a1a70ab6f64d647d2d5f8e02464acf566a254d90d00 | MATLAB | 17,295 | 350 | % -- compare performance for each model using each dataset
% -- expected directory structure:
% -- [raw_data]/[model_name]/[dataset_name]/[model_name|model_name_records|matlab_environment].mat
% -- [testset_path]: path to dataset used for the test classification
whereami = pwd;
raw_data = '/Users/gustavo/git/a... |
9817e4f21a252bbdc7256564733e59f9efbb1c0dd4c8b3ffbbe477bc54261d59 | MATLAB | 17,411 | 310 | %first column = channel number on probe. Convention is ch. 1 is at top left of PCB
%and number wrap around in counter-clockwise fashion.
%second column = x coordinate, horizontal distance to reference electrode in microns. Convention is
%for reference electrode to be at bottom left corner of array when array
%p... |
a185d36bae59dd97633ba5dcc57c0b60b9f9f0a70cf3737a657125099b46da8d | MATLAB | 17,414 | 310 | %first column = channel number on probe. Convention is ch. 1 is at top left of PCB
%and number wrap around in counter-clockwise fashion.
%second column = x coordinate, horizontal distance to reference electrode in microns. Convention is
%for reference electrode to be at bottom left corner of array when array
%p... |
1309b3dce4d4aefb92368306b4bf67dcb7f760f2edd7c978291a0dcb8b2f4673 | MATLAB | 17,447 | 466 | classdef RawImgComposite < RawImgHelper & IRawImg
%RawImgComposite - Class implementing 'composite' raw images
%
% The RawImgComposite class implements functionality related to
% 'composite' RawImg objects. RawImgComposite objects reference a subset
% of a 'normal' RawImg object, as opposed to 'normal' RawImg obj... |
2419f7e26761c63220cfb4ab3c5058a965e3568953dea3df9a9a5570d68dad02 | MATLAB | 17,451 | 424 | %% In this script, we confirm that our implementation of information limiting correlations
% causes information to saturate as the number of neurons in the population
% increases
clear all; close all;
% Load Gabor fitting results of the neurons that we want to analyze
load('analysisFiles/physio/results_populationFI_w... |
9ec9fc639a82d3568e7550abfbce7cf8df44e73fa5e280f46953b2941923e7c0 | MATLAB | 17,552 | 433 | function [map,num,typ] = brewermap(N,scheme)
% The complete selection of ColorBrewer colorschemes (RGB colormaps).
%
% (c) 2015 Stephen Cobeldick
%
% Returns any RGB colormap from the ColorBrewer colorschemes, especially
% intended for mapping and plots with attractive, distinguishable colors.
%
% Syntax (basic):
% ma... |
cefec6c79d0499eb45df4fda8f8949f582f38a2b3f29f1eeca81ff08a5ab637f | MATLAB | 17,615 | 472 | % LOAD_TREE Loads a tree from the swc/neu/Trees format.
% (trees package)
%
% [tree, name, path] = load_tree (name, options)
% ----------------------------------------------
%
% Loads the metrics and the corresponding directed adjacency matrix to
% create a tree in the trees structure.
%
% Input
% -----
% - name ... |
1d59ae2ede5d59e868f4bde3e230dc3cb8ce711d0cd27d4d9beded9d73d18179 | MATLAB | 17,619 | 456 | classdef controller < zapit.gui.stimConfigEditor.view
% Graphical editor for stimulus configuration files.
%
% zapit.gui.stimConfigEditor.controller
%
% Purpose
% This class controls a GUI that serves as an editor and creater of stimulus configuration
% files. This class inherits zapit.gui.... |
1755a5ced99659b797c4ecab46d7c465d6f8092fd2095568f96ca3304c40f6d8 | MATLAB | 17,652 | 351 | % Find fluorEvent associated with stillness and locomotion - run BoutResponse first - NEW VERSION
stillEpoch = cell(1,Nexpt); stillBin = cell(1,Nexpt); stillSumm = cell(1,Nexpt);
SAFE = cell(1,Nexpt); Nsafe = cell(1,Nexpt); % LAFE = cell(1,Nexpt); Nlafe = cell(1,Nexpt); CAFE = cell(1,Nexpt); Ncafe = cell(1,Nexpt);
t... |
e2dc96330209d532f6045cf4fbf4eea488f2b3519e9f99ffcf384ff7faf2a9d4 | MATLAB | 17,658 | 466 | function [ mesh_handle ] = paint_mesh( color_values, ...
transparency_values, ...
add_new_layer, ...
mesh_object)
% PAINT_MESH colors a patch object by attaching color-mapped numeric values
% to the mes... |
4abd73eb64872f6b822b4476424991d9ff1307b79ac9c5083699b2c9716be140 | MATLAB | 17,718 | 474 | % run_megapressproc.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% [out1_diff,out1_sum,out1,outw,coilcombos]=run_megapressproc(filestring,coilcombos,avgAlignDomain,alignSS);
%
% DESCRIPTION:
% Processing script for Siemens MEGA-PRESS MRS data in .dat format (twix
% raw data). Includes combination of reciever ... |
2302973df1643ad693407bb178f47ff551b1ded174d4149c1a3c4416bb75de1f | MATLAB | 17,752 | 492 | function varargout = plot_ICAsigs(self, objPI, hAx, varargin)
% CellsortICAplot(mode, ica_filters, ica_sig, f0, tlims, dt, ratebin,
% plottype, ICuse, spt, spc)
%
% Display the results of ICA analysis in the form of paired spatial filters
% and signal time courses
%
% Inputs:
% mode - 'series' show... |
bcdd27bf1ebd660f34c2a006aed92836f601037d9ca6a03bea11a4c261aefe27 | MATLAB | 17,763 | 645 | if true
clear
close all force
%load tirals info
load('a0_0_bhv2trialStrct.mat');
load('a0_8_timingLeftVsRight.mat','timeOnEyeAll')
load('a6_1_createAvergedMorphedHeatMaps_3_AfterReview', 'timeOnEye_AfterReview');
end
UMonkey = [1,3];
NIImage_IndividualAndGroup5 = [...
7
11
25
2... |
338985c7ee716872905fd0c586e7ee8ab4cca413e802e1e15ae776fcaee9c5c1 | MATLAB | 17,771 | 352 | %% Use GLM to assess contribution of different variables
preCSD_pred = cell(1,Nexpt); preCSD_resp = cell(1,Nexpt); preCSD_opts = cell(1,Nexpt); preCSD_result = cell(1,Nexpt); preCSD_summary = cell(1,Nexpt);
figDir = 'D:\MATLAB\LevyLab\Figures\3D\GLM\'; mkdir( figDir )
%rLocoPreFit = cell(1,Nexpt);
GLMname = 'postCS... |
fc667084e3e698ea72cea4dca4b4d0b99860f3aa8fb34f0501d696c40b59adbf | MATLAB | 17,913 | 464 | % CLONE_TREE Cloning a tree type using the MST constructor.
% (trees package)
%
% trees = clone_tree (intrees, num, bf, options)
% ----------------------------------------------
%
% Creates a set of num trees similar to an input set of trees
% intrees by distributing points randomly in the spanning fields of the
% av... |
aecc548476ee185860c095d245295797c97b32b2e86f1b607426113dc05d0bac | MATLAB | 17,934 | 313 | function csdWave = GetNeuropilWaveSpeed(expt, catInfo, periBout, voxInd, varargin)
% Track how fast a CSD wave washes across a set of specific volumes (ROIs, axons or neuropil)
IP = inputParser;
addRequired( IP, 'expt', @isstruct )
addRequired( IP, 'catInfo', @isstruct )
addRequired( IP, 'periBout', @isstruct )
a... |
b2752c2235ed5efadb59b64bffed618fb1bbfc13c46151c805bf4bf57d206577 | MATLAB | 17,969 | 453 | classdef ConfigDetectSigsClsfy < ConfigDetectSigs
%ConfigDetectSigsClsfy - Parameters for detecting and classifying signals
%
% The ConfigDetectSigsClsfy class is a configuration class that contains
% the parameters necessary for detecting and classifying signals from ROI
% traces. For further information about t... |
696f1a974b954d09f482b4dd5024c3923a8e3c328302e801a9a37d57052f9e72 | MATLAB | 18,020 | 496 | function varargout = plot_ICAsigs(self, objPI, hAx, params)
% CellsortICAplot(mode, ica_filters, ica_sig, f0, tlims, dt, ratebin,
% plottype, ICuse, spt, spc)
%
% Display the results of ICA analysis in the form of paired spatial filters
% and signal time courses
%
% Inputs:
% mode - 'series' shows ... |
a8e83a033b926795f817e4942a1fa38fd445877d823e6cb9a22e04e2ebbecff1 | MATLAB | 18,061 | 486 | cd 'C:/Work/MatlabCode/projects/BrainMetabolismModeling/BrainMetabolismModeling'
ecModel = load('data/MinModel.mat').minModel;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Start with glycolysis, i.e. feed on glucose, no oxygen
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%op... |
671704f4509cd1d8ebf569a7992d8b645cecf9b5abf9584e114e2e48ddd0fa63 | MATLAB | 18,146 | 423 | % run_simMegaPressShapedRefoc_fast.m
% Jamie Near, McGill University 2018.
%
% USAGE:
% [outDIFF,outOFF,outON]=run_simMegaPressShapedRefoc_fast(spinSys);
%
% DESCRIPTION:
% This script simulates a MEGA-PRESS experiment with fully shaped
% refocusing pulses. Phase cycling of the refocusing pulses is performed
% and... |
b4b714ceca0320047364f584e94673137c4e63996f5de7f2b8f7ef33fb2b8415 | MATLAB | 18,333 | 463 | function cf = train_logreg(param,X,clabel)
% Trains a logistic regression classifier with logF or L2
% regularization.
%
% Note: Due to the exponential term in the cost function, it is recommended
% that X (the data) is z-scored to reduce the probability of numerical
% issues due to round-off errors.
%
% Usage:
% cf... |
735c3fef0c5489aa1124a9fed6e7bcfe95ed0e181daf57fd54e1dcad04824b60 | MATLAB | 18,386 | 420 | function ElectodesClassificationMatlabFuncV3(unifyContextClasses ,averageAllBoutsFromSession ,...
NumTrees,TakeJustTheta,TakeJustGamma,matlabImpute,imputeIters, ...
substractMouseMean, usedMouseId,LeaveOut,balanceClasses,...
excludeClassesFromTrain,excludeClassesFromAnalysis, useStdMatrix, outFname)
% V... |
fbee762ea23dcf7e2e41cc80c1f4cb167dfceadd02d459d4bfb1c946b6bad3da | MATLAB | 18,402 | 494 | classdef Test_RawImg < matlab.unittest.TestCase
% TEST_RAWIMG Summary of this class goes here
% Detailed explanation goes here
properties (Constant)
fnCheckDenoise = 'denoise.mat';
end
% ================================================================== %
methods (Test)
... |
3ce2be9718f673379d536ba431e93d0c494716b20681dd94d4219e740f957fd9 | MATLAB | 18,477 | 527 | classdef (Abstract) Data
%Data - Superclass for Data classes
%
% The Data class is an abstract superclass that implements (or requires
% implementation in its subclasses via abstract methods or properties)
% most functionality related to Data objects. Typically there is one
% concrete subclass of Data for ever... |
ffd257aa26351e81b313c6fb52c85529b52041c2fc69834b53a1db4c57e7da55 | MATLAB | 18,514 | 601 | function inputemu(varargin)
%INPUTEMU Java-Based Mouse/Keyboard Emulator
% INPUTEMU(ACTION,PARAM) emulates the human input via mouse and
% keyboard. This utility uses Java java.awt.Robot class.
%
% INPUTEMU(MOUSE_ACTION,[X Y WHEEL]) performs mouse emulation with 5
% action types:
%
% 'move'|'none'|'wheel... |
2f82be63f009351efd7f917425abb95700bcfadce422a5f20d418d7db3dbb98b | MATLAB | 18,545 | 502 | % run_megapressproc_GEauto.m
% Jamie Near, McGill University 2017.
%
% USAGE:
% [diffSpec,sumSpec,subSpec1,subSpec2,outw]=run_megapressproc_GEauto(filestring,coilcombos,avgAlignDomain,alignSS);
%
% DESCRIPTION:
% Fully automated processing script for GE MEGA-PRESS MRS data in P-file
% format (GE raw data). Includes... |
057083de8d9dceff4dbd791b850def711b87a287fb3f42ed6a1198ed3979d88c | MATLAB | 18,547 | 486 | cd 'C:/Work/MatlabCode/projects/BrainMetabolismModeling/BrainMetabolismModeling'
ecModel = load('data/MinModel.mat').minModel;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Start with glycolysis, i.e. feed on glucose, no oxygen
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
... |
a8e5480ac4ea630a26aa109a4bfe6928fc0f9e0ac14e6d7bf061e4f1f4ae19ad | MATLAB | 18,696 | 440 | % Figure06.m
% Plots for Figure 6 in manuscript.
% The same approach is used for Supplementary Figure S04.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/FiguresOutcomeLocked
% clear all; close all; clc
% ... |
d2538593d7a71d7388bcda27a633d9e05f3a6eaa06480d5d36d34159ddc46b05 | MATLAB | 18,697 | 322 | % Find fluorEvent associated with stillness and locomotion - run BoutResponse first - NEW VERSION
stillEpoch = cell(1,Nexpt); stillBin = cell(1,Nexpt); stillSumm = cell(1,Nexpt);
SAFE = cell(1,Nexpt); Nsafe = cell(1,Nexpt); % LAFE = cell(1,Nexpt); Nlafe = cell(1,Nexpt); CAFE = cell(1,Nexpt); Ncafe = cell(1,Nexpt);
t... |
408a6f9e367105401dddfa21514144c48ba731fe391048c1b6995e4ab952dad8 | MATLAB | 18,758 | 441 | % FigureS04.m
% Plots for Figure S04 in manuscript.
% The same approach is used for Supplementary Figure S04.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/FiguresOutcomeLocked
% clear all; close all; clc
... |
2f5b7f5533996ddb95da2687885ba2641986c024509fdb8d14c19431ffcc27f1 | MATLAB | 18,808 | 503 | % run_megapressproc_auto.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% [diffSpec,sumSpec,subSpec1,subSpec2,outw]=run_megapressproc_auto(filestring,coilcombos,avgAlignDomain,alignSS);
%
% DESCRIPTION:
% Fully automated processing script for Siemens MEGA-PRESS MRS data in .dat
% format (twix raw data). Include... |
f64938f9c5ed9aba42db1cb1f66789554af75de8088b33f4721ea7412a895738 | MATLAB | 18,885 | 524 | % PLOT_TREE Plots a tree.
% (trees package)
%
% HP = plot_tree (intree, color, DD, ipart, res, options)
% -------------------------------------------------------
%
% Plots a directed graph contained in intree. Many settings allow to play
% with the output results. Colour handling is different on line plots than
% on ... |
927a023edcd713f958ea460cb53f63670db49a212a16af6bb96422f8e0ecf950 | MATLAB | 19,017 | 517 | % run_megaspecialproc_auto.m
% Jamie Near, Sunnybrook Research Institute 2022.
%
% USAGE:
% [diffSpec,sumSpec,subSpec1,subSpec2,outw]=run_megaspecialproc_auto(filestring,coilcombos,avgAlignDomain,alignSS);
%
% DESCRIPTION:
% Fully automated processing script for Siemens MEGA-SPECIAL MRS data in .dat
% format (twix r... |
b9ab8ad9372b116e9eb45be14285c4a145a93154d65e3ba3168cb4144a2bd7e6 | MATLAB | 19,091 | 457 | %DISSECTSHOLL_TREE Dissects Sholl intersection profile of a tree.
% (trees package)
%
% [Output] = dissectSholl_tree(intree,options,c)
% --------------------------------------
%
% returns a dissected Sholl intersection profile structure (see Bird and Cuntz 2018)
% Input
% -----
% - intree ::integer: index of tree in... |
bd67ef8ccbfc0a041282c4b6eb1f00d09dce2f106795dfee699072e69e4ec4a1 | MATLAB | 19,095 | 492 | classdef LineScanDiam < ProcessedImg & ICalcDiameterLong
%LineScanDiam - Class to analyse line scan images of vessel diameters
%
% The LineScanDiam class analyses line scan images of vessel diameters
% acquired by scanning perpendicular to the vessel axis. Typically, the
% vessel lumen will be labelled by a fluo... |
c17c0ce1ed9230e8464f9415a4fe2ed376d73f9eae56858073185e1bea3f0b7e | MATLAB | 19,259 | 584 | ID='Gi17547'
fname=dir('*_resp.mat');
timepoint=[];
LOCO=[];
STOP=[];
RESET=[];
for i=1:length(fname)
tempname=fname(i).name;
load(tempname)
cur=fname(i).name(9:11);
switch cur
case 'ctl'
timepoint=0;
case 'wk1'
timepoint=1;
case 'wk3... |
7b794f329be0959a3cb70260fa61a8c2ea2e81dd86e51e6125cb3a5a70a0e593 | MATLAB | 19,344 | 538 | % FigureS14.m
% Plots for Supplementary Figure S14.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/FiguresOutcomeLocked
% clear all; close all; clc
% Set root directory:
cd(fileparts(which('figures_set_roo... |
161f5c282d8c80adfdd3a763ee801bcd8bb3b2f7b396bd058172f11bd3770fbf | MATLAB | 19,372 | 464 | % loadParameters;
%This loads puncta_centroids and puncta_voxels (the list of voxel INDICES)
%per puncta
filename_centroids = fullfile(params.punctaSubvolumeDir,sprintf('%s_centroids+pixels.mat',params.FILE_BASENAME));
load(filename_centroids)
load('groundtruth_dictionary.mat')
THRESHOLD_MATCHING_DISTANCE = 10;
MERG... |
36d11b4812a846c25d9822f571bed04c01fb39a879628da60cf0ce074c54ef0b | MATLAB | 19,627 | 382 | function csdWave = GetNeuropilWaveSpeed(expt, catInfo, periBout, fluor, voxInd, varargin) % , waveSpeedPval
% Track how fast a CSD wave washes across a set of specific volumes (ROIs, axons or neuropil)
IP = inputParser;
addRequired( IP, 'expt', @isstruct )
addRequired( IP, 'catInfo', @isstruct )
addRequired( IP, '... |
328da5eb3e79c97c939f2b3dfd1ff6965984799a8a421a340b1a3347c0372628 | MATLAB | 19,678 | 357 | function [props, fig, figname] = t2n_APprop(targetfolder_data,neuron,currstep,tree,dataset,askfile)
% This function analyzes and optionally plots various action potential (AP)
% characteristics at a current injection step previously simulated with t2n_currSteps
%
% INPUTS
% targetfolder_data destination of temporary ... |
140c1a97955f631f71328d93990d651e29121c35c1aef26054b3c1bfc51ee8c1 | MATLAB | 19,779 | 475 | %clc
%clear all
%Setting up
plot_stats_per_bin=1
scatter_step=3
save_plot_spectrograms=1 % Plots the spectograms with axes
save_histogram_per_animal=0
save_excel_file=1
save_plot_3d_info=0
axes_dots=1 % Show the dots overlapping the vocalization (segmentation)
size_spectrogram = [227 227]
use_DL = 1
bin_size = 300 %in ... |
03df50964838e21e25c3a2c66cbdcc23c16df051d295fb9ebb76db93175098d4 | MATLAB | 20,007 | 489 | % EEGfMRIPav_cbm_parameter_recovery.m
% This is an interactive script---execute it step-by-step.
% Its performs parameter recovery for a selected model.
% The following steps have to be executed beforehand:
% - Fit model using EEGfMRIPav_cbm_fit to obtain parameters fitted to
% actual data.
% - Simulate new data using... |
8963cd3cc876da93953581eda7c0e4c43a20233cfcd9ab67fd2002696aaa8b22 | MATLAB | 20,096 | 420 | clearvars -except ppp
SC_group_level_stat_input.subnum=0;
for sub = {'IR29','IR35','IR51','IR54', 'IR57' ,'IR75','IR84'}
sub=char(sub)
clearvars -except sub SC_group_level_stat_input ppp
cd(['\\mycloudpr4100\ivan\HaoxinAnalyses\' sub])
load([sub '_log_EMOPSData.mat'])
load([sub '_Haoxin... |
3596b51a40736f30ad11f6b41dea574868e8a0c4c4e23fd903a8ae20ac158f72 | MATLAB | 20,108 | 484 | % EEGfMRIPav_OutcomeLocked_9_TF_grouplevel_test
% This is an interactive script---execute it step-by-step.
% Set the appropriate job settings for loading TF data aggregated across
% subjects, then perform tests.
% - cluster-based permutation test with Fieldtrip
% - evaluate stat output object
% - plot stat output obje... |
150c4e847559546c9c0aecd9ad89a6fe34fd8147ab80910587fea9fc788781ff | MATLAB | 20,110 | 685 | %IMDISP Display one or more images nicely
%
% Examples:
% imdisp
% imdisp(I)
% imdisp(I, map)
% imdisp(I, lims)
% imdisp(I, map, lims)
% imdisp(..., param1, value1, param2, value2, ...)
% h = imdisp(...)
%
% This function displays one or more images nicely. Images can be defined
% by arrays or filenames.... |
c441a4c57db858b61d0f3a1d06a962472e39ea87169e38bfd9b883580278f224 | MATLAB | 20,292 | 630 | function [AreaXCord,AreaYCord,AreaZCord,AreaName]=BrainAreasListAndCoordinates(AreaNumber,app)
AreaXCord=0;
AreaYCord=0;
AreaZCord=0;
AreaName='No Name';
% % % % %%%%%% Spacial Brain data %%%%%%%%%%%
if app.PopSD_RatRadiobutton.Value==1
if AreaNumber==1 ... |
761f829d21c819522e3f6a97e662510b642a84aa13a9140195239ded5577bac2 | MATLAB | 20,367 | 505 | classdef ConfigFindROIsFLIKA < ConfigFindROIsAuto
%ConfigFindROIsFLIKA - Parameters for FLIKA-based ROI identification
%
% The ConfigFindROIsFLIKA class is a configuration class that contains
% the parameters necessary for FLIKA-based region of interest (ROI)
% identification. For further information about FLIKA,... |
3e6fac5f26d0db472960daf3f1363c3135931a5fba13a7fccd8663c595bdd299 | MATLAB | 20,499 | 478 | % run_simMegaPressShaped_fast.m
% Jamie Near, McGill University 2018.
%
% USAGE:
% [outDIFF,outOFF,outON]=run_simMegaPressShaped_fast(spinSys);
%
% DESCRIPTION:
% This script simulates a MEGA-PRESS experiment with fully shaped editing
% and refocusing pulses. Phase cycling of both the editing and refocusing
% pulses... |
5e683c9a1ee2fd9af9c14304305cb780a76db22e5e3230f9c6b61a0cef63799e | MATLAB | 20,521 | 593 | % NEUROLUCIDA_TREE Loads a tree from the neurolucida ASCII format.
% (trees package)
%
% [tree, coords, contours, name, path] = neurolucida_tree (name, options)
% -----------------------------------------------------------------------
%
% loads the metrics and the corresponding directed adjacency matrix to
% create a... |
d9617055083852a2eb72cd4e124895e6f9fcb92cdd6db1c6e4280e9999ac10b5 | MATLAB | 20,689 | 482 | %% Preprocessing.m
% Converts raw MaxFiltered MEG recordings into SPM format, epochs them,
% detects bad channels/trials, and merges the three main-task runs per
% subject. Produces the merged, artefact-flagged files (cesub-*.mat) that
% Analysis.m operates on.
%
% Run top to bottom in one session (the four stages shar... |
44d7de355973936091b0b427614374a5e46e7972b1cca4e4af2a9fc88d162cdb | MATLAB | 20,827 | 428 | classdef view < matlab.apps.AppBase
% Properties that correspond to app components
properties (Access = public)
hFig matlab.ui.Figure
FileMenu matlab.ui.container.Menu
NewstimconfigMenu matlab.ui.container.Menu
Loadsti... |
83c0e49ecff967138a7a013b966b6fea7458f83c7369182e55fa21f07c00e9c4 | MATLAB | 20,914 | 488 | % ----------------------------------------------------------------------------------------------
% -- Title : VocalMat Classifier
% -- Project : VocalMat - A Tool for Automated Mouse Vocalization Detection and Classification
% -----------------------------------------------------------------------------------... |
3f95599a9e97adb3fe4106bf50a064bda0a95621e515682f13cee0bbf1f4dbc5 | MATLAB | 21,041 | 431 | %% Use GLM to assess contribution of different variables
postCSD_pred = cell(1,Nexpt); postCSD_resp = cell(1,Nexpt); postCSD_opts = cell(1,Nexpt); postCSD_result = cell(1,Nexpt); postCSD_summary = cell(1,Nexpt);
figDir = 'D:\MATLAB\LevyLab\Figures\3D\GLM\'; mkdir( figDir )
GLMname = 'postCSD_3D_GLM_TScShDtStDshZL';
... |
998a82abe716a5d7d3d717a87b4b6ba1cc7bebd94e65aaeb1e15738cce9817ac | MATLAB | 21,219 | 490 | classdef nufftOp
% Perform nufft using method of Beatty et al (doi.org/10.1109/TMI.2005.848376)
%
% Usage: Define nufft object using N = nufftOp(imN, kloc, {dcf, useGPU, os,
% kwidth}), where the inputs in {} are optional. Then, use N*im to apply
% type 2 nufft (i.e., Cartesian to non-Cartesian) and use N'*kvals to app... |
8f914c899d53ec3ce96ce7bade5b8eed99a196e85808cc3f6a5b58f69da147bf | MATLAB | 21,225 | 1,035 | %Default AAL atlas:
AALnii=load_nii('aal.nii');
%Number of regions:
Naal=90;
centr = load('../data/centroids_LEiDa_5.csv');
centr = transpose(centr);
centr1 = centr(:,1)/max(abs(centr(:,1)));
centr2 = centr(:,2)/max(abs(centr(:,2)));
centr3 = centr(:,3)/max(abs(centr(:,3)));
centr4 = centr(:,4)/max(abs(centr(:,4)));... |
ebdbb944fed5f4cf9ce6583306eda11e9c73449df4f217759107875acb601ef3 | MATLAB | 21,281 | 687 | function results = MAIN_TOY_LOOPS(N,realz,modif)
% parameters
NF = 100;
mu = 0.5; %(1-mu)*L + mu*(Ls)
options.graph.nn = 10; %KNN graph number of neighbors
%% Loop process
results = [];
for dim = 1:modif.additDim
for r = 1:realz
fprintf('Dim replicates: %i, realization... |
a499109f7dbca24c045439a5b17f4a68135ba2dbbee8fe952083b07575b6d667 | MATLAB | 21,325 | 474 | function [perf, result] = mv_regress(cfg, X, Y)
% Regression of multi-dimensional data. The interface is very similar to
% that of mv_classify.
%
% Usage:
% [perf, res] = mv_regress(cfg, X, y)
%
%Parameters:
% X - [... x ... x ... x ] data matrix or kernel matrix of
% arbitrary dimensions... |
acf69e01bdbc843c1444d048ed9c3aabc390b46fbce5db8355443edc25cdf516 | MATLAB | 21,371 | 502 | function [PCT,PCP,rearrthetatimes,firstspiketimes,ofst,thetatimeorders,percyclespknum,...
ttarm,alltempos,trialcycles,posincycles,poscycleinbins,thetaspeed,thetavectors,...
spatempmtx,spatemp,ethP_CS,de_CS,nnde_CS,qde_CS,estPv_CS,realposvect,timeposdistr,...
randAlltrials,randLtrials,randRtrials] = place... |
c2554b4a32f832dac5e2ae7592bbb0d085ab56310d5abc94425448dba1dc40c8 | MATLAB | 21,480 | 455 | %% View the big picture data
viewLims = struct('trans',[-Inf,Inf], 'scale',[-Inf,Inf], 'stretch',[-Inf,Inf], 'shear',[-0.03,0.03], 'shift',[-3, 3], 'velocity',[-3, 15], 'fluor',[-5, 5]);
for x = [9,13] % xPrePost %xPresent % xPresent % x2D %xPresent %find(locoFrac(:,2) < 0.02)' %xWave %xPresent
%sortROI = [bout... |
f376333afbd20c4913377d4ddadb7bde3ab1f5761a6bd05ea226b76b4b99dd16 | MATLAB | 21,507 | 500 | % ----------------------------------------------------------------------------------------------
% -- Title : VocalMat Classifier
% -- Project : VocalMat - Automated Tool for Mice Vocalization Detection and Classification
% --------------------------------------------------------------------------------------... |
4f235e19e353ad1976ceedd21c72b87964323dbbe07f68b3f6b3241e2d5a44f1 | MATLAB | 21,573 | 505 | %% *T2N simulations*
%
% Note: T2N requires NEURON and TREES to be installed! See Documentation for further information.
% Note for Mac users: Matlab has to be run from a Terminal for T2N to work
% properly.
% Let's load first the trees to be simulated
wttrees = load_tree('../data/mtrs/wt_aligned.mtr');%{sample_tree... |
7482a7da7dd9151b4fc54791089ac0bb9e8a2a27b113bcc6b184f025092e2699 | MATLAB | 21,582 | 501 | %% *T2N simulations*
%
% Note: T2N requires NEURON and TREES to be installed! See Documentation for further information.
% Note for Mac users: Matlab has to be run from a Terminal for T2N to work
% properly.
% Let's load first the trees to be simulated
wttrees = load_tree('../data/mtrs/wt_aligned.mtr');%{sample_tree... |
f6c8c736d77b3a09a82a1aceb7db0f391bda1d61ef48f164a67b72a0de2cb0ae | MATLAB | 21,640 | 509 | %% *T2N simulations*
%
% Note: T2N requires NEURON and TREES to be installed! See Documentation for further information.
% Note for Mac users: Matlab has to be run from a Terminal for T2N to work
% properly.
% Let's load first the trees to be simulated
wttrees = load_tree('../data/mtrs/wt_aligned.mtr');%{sample_tree... |
f430aae523074ec8864e5927a2f8f0590c15227c06831ded7f4967647cfd2212 | MATLAB | 21,725 | 879 | function LocoAnalysis2c(inputname, timepoint, STOPDETECT)
%Last modification November 29, 2021
%inputname='Gi10852';
inputname2=strcat(inputname, '_', timepoint, '_trigZ.mat');
inputname3=strcat(inputname, '_', timepoint, '_trigMU.mat');
load(inputname2)
load(inputname3)
%threshold in terms of motor unit den... |
ef556858cf1278c64743b12a65d8f6ed7d4d524e8c810fe2a873c8b78be0aeb8 | MATLAB | 21,824 | 508 | %% *T2N simulations*
% *This script is to show you some applications of t2n. Tutorial A and B initialize
% the morphology and standard parameters (and need thus be run at least once before
% starting one of the other tutorials), whereas the other sections define the
% different simulations.*
%
% Note: T2N requires ... |
3881963b338956598ef38b19ed8709a0c770af4317fb7704571703a25b814d7d | MATLAB | 22,013 | 513 | function [PCT,rearrthetatimes,firstspiketimes,ofst,thetatimeorders,percyclespknum,...
ttarm,alltempos,trialcycles,posincycles,poscycleinbins,thetaspeed,thetavectors,...
spatempmtx,spatemp,ethP_CS,de_CS,nnde_CS,qde_CS,estPv_CS,realposvect,timeposdistr,...
randAlltrials,randLtrials,randRtrials] = placeTMde... |
205ffc22e67e842c7587be136ff20b73c516b14a0a18d9759136f435a4bbc49a | MATLAB | 22,037 | 560 | classdef FrameScan < StreakScan & ICalcDiameterLong
%FrameScan - Class to analyse frame scan images of vessel
%
% The FrameScan class analyses frame scan images to calculate vessel
% velocities and diameters. Typically, the vessel plasma will be
% labelled by a fluorescent marker, like a dextran conjugated fluor... |
f18c0432ca9a685a3d6453422b841bdd8019c4f21919a84704594b8847250698 | MATLAB | 22,122 | 536 | %==========================================================================
% This script preprocesses the behavioral data and aligns them with (i) the
% macrodata timeline and (ii) with the microdata timeline.
%
% Lukas Kunz, 2021
%==========================================================================
% start
cle... |
a7f96d10c1ec48d6a70ff14fe5b88af9ae7fe4272bd513fc98f1a124c47c10d4 | MATLAB | 22,167 | 623 | %% Population analysis for OpenEphys
% This analysis calculate the fold changes in firing rate from all the channels
% as a function of probe depth. Run this analysis after OpenEphys_analysis1
clear;clc;
firing.stim = nan(1,6);
firing.nostim = nan(1,6);
for recording = 1:6
recording
[fileName pathName... |
050b98031936dafd53832a11cc1cf262ebefba1a372168680beaf0a35a1fa8bf | MATLAB | 22,181 | 607 |
function [sample_rate,board_dig_in_data,board_adc_data,aux_input_data,amplifier_data]=read_Intan_RHD2000_file(path,file)
% read_Intan_RHD2000_file
%
% Version 1.3, 10 December 2013
%
% Reads Intan Technologies RHD2000 data file generated by evaluation board
% GUI. Data are parsed and placed into variables th... |
1db365782a69ad7ababda147e9440c39a7b3100b78720153d10c01f7f17da13c | MATLAB | 22,257 | 503 | %==========================================================================
% This script examines whether ripples are phase-locked to slow
% oscillations.
%
% References: Logothetis et al., Nature, 2012.
%
% Lukas Kunz, 2023
%==========================================================================
% start
clear; cl... |
a179545b984a803726008c8ed6f96c6a4e1da5909120593da0c5581487518f97 | MATLAB | 22,385 | 561 | % NEURON_TREE Export tree as NEURON file.
% (trees package)
%
% [name path] = neuron_tree (intree, name, res, options)
% ------------------------------------------------------
%
% Saves a complete tree in the section based neuron '.hoc' format.
% Alternatively tree can also be stored as '.nrn' file in which each
% se... |
64d60d85b07f41668980635617046057ee06a69c7330eee13138e625180ef93a | MATLAB | 22,436 | 540 | function [map,num,typ] = brewermap(N,scheme)
% The complete selection of ColorBrewer colorschemes (RGB colormaps).
%
% (c) 2014 Stephen Cobeldick
%
% Returns any RGB colormap from the ColorBrewer colorschemes, especially
% intended for mapping and plots with attractive, distinguishable colors.
%
%%% Syntax (bas... |
2b33b2b289c8a0004da4dc4c340d4c620d0b7d5690dbeb8dc33a374b2c72a0d9 | MATLAB | 22,517 | 562 |
%%Set Parameters to analyse behavioural data
dataDirectory = '\\mhsdata.anu.edu.au\mydocs$\u6764904\My Documents\PhD\Behavioiural_Studies\M1AChRAnalysis\';
% Master List for day files
% % % Mouse 1
whichDays{1}{1} = {''}; %ACSF, add session dates here
whichDays{1}{2} = {''}; %AG
whichDays{1}{3} = {''}; %AN
% %... |
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