sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
8c808cb25702a6871749df56286597ee44cb7e55fe0ad31d3acf38ef69838e15 | MATLAB | 1,653 | 39 | % *** NO IDEA WHAT THIS IS USED FOR. SUGGEST TO REMOVE.
% -BRC 9/26/2013 ***
% Copyright Benjamin Cowley, Matthew Kaufman, Zachary Butler, Byron Yu, 2012-2013
% ---GNU General Public License Copyright---
% This file is part of DataHigh.
%
% DataHigh is free software: you can redistribute it and/or modify
% it un... |
0ca5d857b83fb6a1c4bfd036431d0ce64ece92b6c875e72f3332570b1e3d451e | MATLAB | 1,654 | 50 | function res = runtests()
close all; clear;
res = struct();
import matlab.unittest.TestSuite
import matlab.unittest.TestRunner
import matlab.unittest.plugins.CodeCoveragePlugin
tr = TestRunner.withTextOutput;
tr.addPlugin(CodeCoveragePlugin.forPackage('jrclust'));
tr.addPlugin(CodeCove... |
b0bd18357f046c57b6f054305fe6b1cf060be19d5eb105f24ac0b7e398d754a9 | MATLAB | 1,654 | 42 | function updateCursorFigWav(obj)
%UPDATECURSORFIGWAV Plot mean waveforms on top of selected cluster(s)
if isempty(obj.selected) || ~obj.hasFig('FigWav')
return;
end
hFigWav = obj.hFigs('FigWav');
plotSelectedMeansFun = @(x,y)plotSelectedMeans(hFigWav, obj.hClust, x, y, obj.maxAmp, obj.hCfg, ... |
65031ee4472e005d668a07be22c40393df2ac060bec0fc72f6559e9a51fcfebe | MATLAB | 1,658 | 42 |
%% Place decoding
load ensemble_sample_data.mat
accuracytotal=nan([size(all_sessionsfloor_iteration,3) size(all_sessionsfloor_iteration,2)]);
for ii=1:size(all_sessionsfloor_iteration,3)
parfor jj=1:size(all_sessionsfloor_iteration,2)
[trainedClassifier, validationAccuracy] = trainClassifierfloor(all_se... |
70a4667f57e700ec8b4206bed22178992454ad35e30bcebab1c380b824c5718a | MATLAB | 1,659 | 72 | function plot_s_fr(session, channel, unit, fold, trials_type)
% Plot response firting rate of specific s-model for given trial
%
% Parameters
% ----------
%
% - fold: integer scalar
% Fold number
% - trials_type: char vector | scalar
% Trials type or trial index
info = get_info();
times = info.times;
s = 5; % sca... |
fd4f4a8389b16aea41d7684f9eb7d411a563940858926c3b4ed52e945f11e5eb | MATLAB | 1,662 | 64 | function [M,MList]= OrthogContrasts(nTreats)
% Generates coefficients corresponding to one particular set of
% orthogonal contrasts for a set of variables
%
% FORMAT
% [contrasts, names]= limo_OrthogContrasts([2 2])
%
% INPUT
% nTreats is a vector with the levels of the various factors in an ANOVA
%
% OUTPUT
% M is a ... |
be281dc24772d78b16ceaf2f1c3dbc76b4704947453f3cf8d0378ddf107ed75c | MATLAB | 1,665 | 46 | classdef HTMLGenerator
%HTMLGENERATOR A class for generating HTML files
%
% This class generates HTML elements for reporting results
%
% Reza Sameni, Sep 2020
% The open-source electrophysiological toolbox (OSET)
% www.oset.ir
%
properties
fid % file ID
end
met... |
e9ddaab3da25c6ab5f1b887b73a816f66145a057039121b3676d66b7d85641f6 | MATLAB | 1,665 | 40 | %% plot
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
w = 2;% window for ploting (2 = sustaneid)
%%
for i = 1:length(datafile)
load(datafile{1... |
f2918681ad1874cea168bc85816ee92112346bf7772c1b5d45faa391816eab61 | MATLAB | 1,665 | 63 | % Figure 3a top panel: UCL
x1CL = readmatrix('Fig3_UCL_CL_template_x1.csv');
y1CL = readmatrix('Fig3_UCL_CL_template_y1.csv');
x2CL = readmatrix('Fig3_UCL_CL_meanEEG_x2.csv');
y2CL = readmatrix('Fig3_UCL_CL_meanEEG_y2.csv');
x1HL = readmatrix('Fig3_UCL_HL_template_x1.csv');
y1HL = readmatrix('Fig3_UCL_HL_template_y... |
465a4963e90ef205e2920f7ce1454ae3c9df02cc7a48f8155334db566a5c0e15 | MATLAB | 1,666 | 62 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% createrawfile.m
%
% PGH Oct 2003
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function y=createrawfile(metabname,fid,cenfreq,np,dw,rp,lp,TRAMP,VOLUME)
[p f e] = fileparts(metabname)
... |
5294dca31b1d8133767f3849840d89fdc30bb18a2b422ff61654f7d5a119be31 | MATLAB | 1,667 | 42 | function [ind, xcore] = ChannelIndex11(x,fs,f0)
% [ind xcore] = ChannelIndex11(x,fs,f0)
% Channel saturation and sine wave modulation detector
% Inputs:
% x : input data matrix
% fs : input sampling frequency
% f0 : desired sine (or square) wave frequency (approximate value is ok, e.g., f0 = 4)
% Outputs:
... |
fe7dae9138ee42da39057cf1a4e402154066c20f421dbae680a502890d18d269 | MATLAB | 1,667 | 78 | function TouchSensorOffLine
clear all;close all;
% load 11501_150807V.mat -ASCII;
load 11701_150807V.mat -ASCII;A=X11701_150807V;%A
% load 11701_150826V.mat -ASCII;A=X11701_150826V;%B
% A=X11701_150807V;
% A=X11701_150826V;
Len=length(A(1,:));
MovingAverage=2;%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
1988277f1dade3698382972dd8dd537cc4f9f833460ed21b568a9a165638abc7 | MATLAB | 1,671 | 79 | function ob = fatrix2_setup_dim(ob)
%function ob = fatrix2_setup_dim(ob)
%|
%| Set up idim and odim etc.
%|
%| Copyright 2010-12-17, Jeff Fessler, University of Michigan
arg = ob.arg; % this shall not be modified
if isempty(ob.imask) && isfield(arg, 'mask')
ob.imask = arg.mask;
end
% input mask (rhs)
if isempty(... |
b938f690e86d7a4ff5fc9000af69162a902628c7c0e8100dfc680c4c782b9192 | MATLAB | 1,671 | 60 | function [h,p, chi2stat,df] = prop_test(X , N, correct)
% [h,p, chi2stat,df] = prop_test(X , N, correct)
%
% A simple Chi-square test to compare two proportions
% It is a 2 sided test with alpha=0.05
%
% Input:
% X = vector with number of success for each sample (e.g. [20 22])
% N = vector of total counts for each sam... |
26357cfc8f31c3bfa6505c6a75daa86f692dee709598b1e99eb2e4af26fd6f9b | MATLAB | 1,672 | 57 | % Plot Raster Sorted by Activity Rate:
% Retieve Variable: >>IndexesbySubgroups, sorted by:
% Inhibited
% Depressed
% Unchanged
% Facilitated
% Activated
% Input
% R_Condition: Cell of ACtivity Matrices
% Condition_Names: Cell of Condition Strings
% fs: Sampling Frequency
% Condition to Compar... |
6d8810a23bed2b8e904dec1583e0670fdc4e0a4b54a7f629e98b1048d208989c | MATLAB | 1,674 | 78 | % Kalman filter of epilepsy signals sample entropy
clear all
close all
% Data Sampling Rate: 256 Hz
fs=256;
% Read epilepsy signals
% Channel 5: FP1-F3;channel 6:F3-C3;channel 7:C3-P3;channel 8:P3-O1
[hdr, record] = edfread('original\chb01_03.edf');
EEG1=record(5,:);
% EEG1=record(6,:);
% EEG1=record(7... |
bd07db3d30839e686d3900d5ae466e0f7ec7a409961613cdab3b3bfef0721231 | MATLAB | 1,674 | 58 | %{
----------------------------------------------------------------------------
%Stimulus bias changes by block
%Just model analysis
%Based on Rao 2010 Front Comp Neurosci
%Value updating + Prior updating
----------------------------------------------------------------------------
%}
function FigureS1c_Dual_M... |
7b10e0b066504becd4e07199d781ff50629c2c54899b76465966cf4b8430f7c1 | MATLAB | 1,675 | 58 | %% write a bijection between neuron index and corrdinate
% In each HC, we assume that there are 54*54 E neurons and 31*31 I neurons
% Inut:
% N_HC: number of HC on each line
% Nn_Ind: index of neuron, in certain range
% Nn_Type: 'e' or 'i'
% varargin: [n_E_HC,n_I_HC], if appicable
% Output:
% Nn_X,... |
cfa7a49e4575bd9f1ff48d9347d7ecab33f30fd61d42c997df63a3e246c56103 | MATLAB | 1,675 | 77 | function clear_axis(app)
cla(app.ax_msna_raw)
cla(app.ax_burst_interval_his)
cla(app.ax_burst_duration_his)
cla(app.ax_burst_amplitude_his)
cla(app.ax_burst_integral_his)
cla(app.ax_burst_res)
cla(app.ax_msna_int)
cla(app.ax_1st_phase)
cla(app.ax_last_hist)
cla(app.ax_all_hist)
cla(app.ax_spike_msna)
cla(app.ax_last_p... |
d79407bae8cfce766bdfc164cf54424e7be300b607fc648762aa3319200de279 | MATLAB | 1,675 | 76 |
ga_file = '/home/romain/data/spectro/PROTO_SPECTRO_DYST/LCmodel/Basis_set/MEGA2/GABA_E3_Fantome_N128.RAW';
f = read_raw(ga_file)
f = zero_filling(f,8);
ppm_g1 = 3.1009;
ppm_g2 = 2.9488;
ppm_center = 4.7;
SW_p = f.spectrum.SW_p; % spectral width in ppm
np = f.spectrum.np; % number of points
dh = f.... |
e9aa679bd0e7a308536f83cfa0954eac6eec55b03def3d633f849777d960e9e1 | MATLAB | 1,675 | 52 | %% Latecy of responsive locusts to hex and iaa in 4 training
%obtained using python script in the same folder
%iaa
% {'hexon': [355, 136, 97, 178, 102, 80, 117, 147, 187, 141, 193, 83, 188],
% 'hexoff_05s': [176, 151, 143, 124, 229, 274, 180, 135, 183, 206, 264, 265],
% 'bzaon': [112, 166, 83, 211, 150, 122, 10... |
5b2495fce59f73783ae47b3de45cd84b8b2e961a6fb1c82ad09e985d3606b8f6 | MATLAB | 1,677 | 41 | function [a, b, c, cPrime, pValueA, pValueB, pValueC, pValueCPrime] = mixedEffectsMediationAnalysis(X, M, Y, GroupID)
% Reshape the matrices X, M, Y into long format and prepare the GroupID vector accordingly.
% Number of observations and groups
[n, m] = size(X);
% Reshape data into long... |
b4b5d07ceaaa597e6e7b5d76543a9e93b421e963c9a56e24d71cb9ad29c38bb0 | MATLAB | 1,678 | 32 | function [Fit_Object,Vxyz,Vxyz_Distances,ArcLength,Vt] = Fit_And_Sample(XYZ,Res,Vt)
Fit_Object = cscvn(XYZ'); % Fit a cubic spline.
% Fit_Object = csaps(XYZ(:,1)',XYZ(:,2)');
% Find the arc-length:
Step_Length_Estimate = mean(diff(Fit_Object.breaks));
if(nargin == 2)
Vt = linspace(Fit_Object.breaks(1),Fit_... |
4fbec2b8818cf3dbea6e5649624a34ddc7f24d7f4e3dd5551becaf72b8b84a7b | MATLAB | 1,679 | 43 | function [layers, loss] = initder_dir_coord_inv(layers)
activ = zeros(size(layers{1}.a));
pixels_num = size(layers{1}.d, 4);
selfprod = sum(sum(layers{1}.d.^2));
if (selfprod < layers{1}.eps)
layers{1}.a = zeros(size(layers{1}.a));
loss = 0; return;
end;
loss = 0;
norm_shift = sqrt(pixels_num);
products_shift = s... |
8d6b9bb7b318db2604c7f106252a18d57584102df6b5fbf307535dc07cf1cc93 | MATLAB | 1,680 | 55 | function hFigPSD = plotFigPSD(hFigPSD, tracesFilt, hCfg)
%PLOTFIGPSD Plot power spectrum density figure
nSmooth = 3;
ignoreSites = hCfg.ignoreSites;
sampleRate = hCfg.sampleRate/hCfg.nSkip;
%warning off;
tracesFilt = fft(tracesFilt');
tracesFilt = real(tracesFilt .* conj(tracesFilt)) / siz... |
ae336b752ca5100e5430dd36f94359a35a9891f6ef8b4f6f6c23827092b82b80 | MATLAB | 1,680 | 42 | %% plot%
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
w = 2;% window for ploting (2 = sustaneid)
%%
for i = 1:length(datafile)
load(datafile{... |
4819c9295b1800b8d8957214d89376edfc9f42491ee1ff0ad11e8d44a2c5413a | MATLAB | 1,681 | 54 | function [dataTable,echoTable,opts] = readECHTLog(filename,strcmd)
% [dataTable,echoTable] = readECHTLog(filename,strcmd)
%
% Parses the ECHT .csv log file into two different MATLAB tables,
% "dataTable" and "echoTable".
%
% readECHTLog properly assigns variable names and types to the correct
% columns based on the !st... |
67a0b67e5acd0f923c16699aed8fd165fe3267fadd1e46b191d510a5e51fa3d0 | MATLAB | 1,681 | 40 | function [] = createMoveEvt(mouserec,onSet,offSet,type)
%Generate .mov.evt file for Neuroscope
%Created By: Pratik Mistry
%Edited By: Anya Krok
%
% [] = createMoveEvt(mouserec,onSet,offSet,type)
%
% INPUT
% 'mouserec' - name of in vivo recording, to be used to name .mov.evt file
% 'onSet' - vector of event... |
41f0e1d4ad42bff0c701154fbbb7552e51209abea2f69e9ccba57c6dcbf59e86 | MATLAB | 1,682 | 51 | %% Reproduce Fig. 1f from deposited dataset
% David Wolf, 11/2023
%
%% load dataset
clear; clc;
load('C:\Users\David\Documents\GitHub\OXT-Wolf\data\Fig1_AON_data_smooth.mat'); % for plotting (but not statistical inference) of the Euclidean distance from baseline, the population vectors were smoothed with a sliding wi... |
a05d1c0addd4bf562319c1734aa5330111f470453b3f5765676f01a73066e35f | MATLAB | 1,682 | 52 | function matsuda20190423
cd('C:\Users\C238\Desktop\CheetahData\2019-3-13_12-19-0 15101-04');
dpath=('C:\Users\C238\Desktop\CheetahData\2019-3-13_12-19-0 15101-04\');
dpath3=('C:\Users\C238\Desktop\CheetahData\2019-3-13_12-19-0 15101-04');
% data=load([dpath '15103_190313_98__'],'-ascii');
dpath3
load 15103_190313... |
729200b5387866896202a47a41d8c80a12c5ae731199cb44e39210c3edda8faf | MATLAB | 1,683 | 53 | % Process the FatNavs and export motion parameters in the coordinate frame
% of the host sequence acquisition - useful for using alternative to
% retroMoCoBox for the MoCo processing
% These paths need to match your installation:
run('~/retroMoCoBox/addRetroMoCoBoxToPath.m')
addpath /cubric/software/spm.versions/spm12... |
4e9fe6573a1963add45e5b6ae42615803819148b7293c68bb6d3c7344b87158a | MATLAB | 1,684 | 57 | function [index, rank] = sqi_zero_crossing(x, varargin)
% sqi_zero_crossing - Signal quality index based on the percentage of zero-crossings.
%
% Usage:
% [index, rank] = sqi_zero_crossing(x, remove_mean)
%
% Inputs:
% x: Input signal matrix with dimensions [L1, L2]
% remove_mean: Optional arguments for r... |
473c931d5c21aef11f22e5e1d7f95c016ee06be76b891053da474b1c1d93a20b | MATLAB | 1,686 | 56 | clear
close all
clc
fs = 1000;
spectral_window = 3.0;
spectral_overlap = 2.75;
spectral_len = round(spectral_window*fs);
ecg1 = load('SampleECG1kHz1.mat');
ecg1 = ecg1.data;
ecg1 = ecg1 - mean(ecg1);
Sx = pwelch(ecg1, hamming(spectral_len), round(spectral_overlap*fs),spectral_len, fs, 'twosided');
ecg2 = load('Sampl... |
4a9441c98f59142f2d83c389410019baf6e0c9e097fff016f5782f134d4e0712 | MATLAB | 1,686 | 43 | function [pc1, pc2, pc3] = pcFeaturesBySpike(obj, spikes, sites)
%PCFEATURESBYSPIKE Get template PC features for selected spikes
[pc2, pc3] = deal([]);
nSites = numel(sites);
nSpikes = numel(spikes);
pc1 = zeros(nSites, nSpikes);
if nargout > 1
pc2 = zeros(nSites, nSpikes);
elseif ... |
dfde03b1bbd75deb8f4a6d8b9b99427c6af3186204d97b077b3fca45aaeda2bc | MATLAB | 1,686 | 44 | function updateCursorFigSim(obj)
%UPDATECURSORFIGSIM Update the crosshair cursor in FigSim
if isempty(obj.selected) || ~obj.hasFig('FigSim')
return;
end
iCluster = obj.selected(1);
if numel(obj.selected) == 1
jCluster = iCluster;
else
jCluster = obj.selected(2);
end
... |
2dcaa83b2d0dc42dc9c0e8184d0eca1e620e4f4c597dc8d07acd82647c4aa102 | MATLAB | 1,689 | 62 | classdef (Hidden) test_SDK
%
% Class:
% adi.test_SDK
%
% Run as:
% adi.test_SDK.run_tests
properties
end
methods (Static)
function run_tests()
%
%
% adi.test_SDK.run_tests
%
% See Also:
... |
84a7a36827c8609251bce3d9622f18e5a2f36748924f1f5a8d4b2b7f77880551 | MATLAB | 1,689 | 43 | function SpikeForm
% ScNumbersÍS×EH4×EÌêÍ3D
% CellNumbersÍ×EÔA1,2,3,4...A½¾µA0à éBÇÌ×EÉàYµÈ¢L^iHj
% DataPointsÌ1³ÚÍ32_ÌdÊA2³ÚÍeg[hÌ`lA3³ÚÍ»ê¼êÌXpCNiModeArrayÅwèµ½àÌj
clear all;close all;
Filename='G:\CheetahWRLV2... |
1a1b9a77624cbd1661eb9d72d1f03afc23ad6ddbd4e822511632db25e0135a99 | MATLAB | 1,691 | 40 | function [ang_vel] = HeadSpeed(TrackingData, f, gaus_kernel)
% Calculate angular velocity of head movements
% Input:
% TrackingData - Struct containing tracking data including quaternion values
% f - Sampling rate in seconds
% gaus_kernel - true if smoothing with Gaussian kernel
% Outp... |
f3ceb1f0faada1026637351736e21394f339a05edbe7494354ae13d8d6d347be | MATLAB | 1,691 | 57 | function x = dtft2_adj(X, omega, N1, N2, n_shift, useloop)
%function x = dtft2_adj(X, omega, N1, N2, n_shift, useloop)
% Compute adjoint of 2D DTFT for spectrum X at frequency locations omega
% In
% X [M,L] 2D DTFT values
% omega [M,2] frequency locations (radians)
% n_shift [2,1] use [0:N-1]-n_shift (default [0 0]... |
37bb8bf5f80a6cd8db9649ac5cc7b89b22cb90b88f0c6ecd275febe8273cf2b4 | MATLAB | 1,692 | 45 | %% original % responsive locusts taken from python
%odor in each row is hex, bza, cit, iaa for all 10 conditions
% # conditions = ['hexon','bzaon','citon','iaaon','hexoff_05s','hexoff_2s',...
% 'hexoff_4s','bzaoff_05s','bzaoff_2s','bzaoff_4s']
responsives = [[0.63157895, 0. , 0.05263158, 0.68421053],
[0... |
456dad3407122804c211b78c8e949ef09d3277254ccc5dc0ba2d780866e3eeff | MATLAB | 1,692 | 52 | function [ accs, dec_dims ] = ae_iterative_removal(p,t_pool_av,t_pool_err,n_rep,n_iter,rand_control,precomputed_dims,time_dependent,n_tr,tone_idx)
% predetermine random dims to remove
if rand_control
n_dims = size(t_pool_av,1);
rand_dim = rand(1,n_dims)*2-1;
rand_dim = rand_dim/norm(ran... |
9858b9db04065119a33dfdf408f43c9b6e86e1e2927df0ac4939f068acac0805 | MATLAB | 1,693 | 62 | classdef (Hidden) channel_writer
%
% Class:
% adi.channel_writer
%
% This class facilities writing a channel to the binary file format.
% More details can be found in adi.binary_file_writer
%
% See Also:
% adi.binary_file_writer
%{
Each channel heade... |
3fdb589982fca6089126e481fffcaae7415fbda108f3c682bf24a0b55c7bae03 | MATLAB | 1,695 | 56 | %% compare PSTH responses using diff state criteria
fileNames = {'PSTHdata_wCellTypes.mat';...
'PSTHdata_strict.mat';...
'PSTHdata_cp.mat'};
plotTitles = {'original'; 'strict'; 'changepoints'};
%% loop through filenaames
for ifile = 1:numel(fileNames)
clear stat run
% load data
load(fil... |
3e24531aa7383ccec68dbe91f5a537d6441a1944a1abcdcebc5824b9cbd2e063 | MATLAB | 1,696 | 82 | %Kalman filter of logistic map signals entropy
clear all
close all
% Data Sampling Rate: 100 Hz
fs = 100;
% Generate logistic map signals
r = 3.9;
x0 = 0.5;
n = 1000;
noise_length = 50000;
x = zeros(1, n + noise_length);
x(1) = x0;
for i = 2:(n + noise_length)
x(i) = r * x(i-1) * (1 - x(i-1));... |
88178e0cf669fbe20bc9201dae17e3735424b46e6d9f1618f328d7cddab6bb53 | MATLAB | 1,696 | 43 | % ****THIS FUNCTION IS PROBABLY NOT USED. SUGGEST TO REMOVE.
% -BRC 9/26/2013 ****
% Copyright Benjamin Cowley, Matthew Kaufman, Zachary Butler, Byron Yu, 2012-2013
% ---GNU General Public License Copyright---
% This file is part of DataHigh.
%
% DataHigh is free software: you can redistribute it and/or modify
% ... |
f7358b8283dc44e0c012828b9f45d38bd551f07e6cae5072382a15c97e002fad | MATLAB | 1,696 | 53 | function morphology_aligner(stacked_events, reference_event, delta)
% test VCG loop alignment
% UNDER TEST
% Reza Sameni, 2005
tau = -delta:delta;
num_channels = size(stacked_events, 1);
num_events = size(stacked_events, 2);
event_len = size(stacked_events, 3);
%//////////////////////////////////////////////////////... |
c73ec8908bbd9ba848f23168d2ff66c8fc76d964b67d82dad590ec84137c5daf | MATLAB | 1,697 | 64 | function [maxTIMES1, maxTIMES1id,maxAUC1, maxAUC1st] = peaksearchCBVresponses2(CBVresponse1, ROIname, timedur, stim)
% This program is intended to search location peak of the CBV signal.
%
% input:
% CBVresponse1
% CBVresponse2
% ROIname
% resultpath: where you can save .png files/
% colors: colors of plots... |
56586f1d99ece299dd266778c10ac0ee0a128b58be1aaf587b7b31e1142866f3 | MATLAB | 1,698 | 59 | function [y, p] = polynomial_fit(x, fs, N, varargin)
% Polynomial fit over a signal segment using least square or
% pseudo-inversion
%
% [y, p] = polynomial_fit(x, fs, N, method)
%
% Inputs:
% x: the (noisy) input signal
% fs: sampling frequency
% N: polynomial order (>= 1)
% method: optional argume... |
c24dbc4b8bbf5ed173a5df85407e9b3b47a9e9ff29d45d3cc080359ca970af7c | MATLAB | 1,698 | 74 | %% create all channels LFP
%LFP STATSITICS
clc
clear
%% load all files
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
%%
%in case of selcting only one file
... |
4a3e24ffef26fa205ea2557229ad82723c8df23b589491edfa5e5869d767ad8f | MATLAB | 1,699 | 58 | function update_wavelet_axis(app)
cla(app.ax_wavelet_sig1)
cla(app.ax_wavelet_sig2)
cla(app.ax_xwt1)
cla(app.ax_xwt2)
cla(app.ax_xwt3)
channel_idx = find(strcmp(app.popup_signal1.Value,app.popup_signal_spect.Items));
[data,ts,name1, unit1] = current_signal(app, channel_idx);
data1(:,1) = ts(1):ts(1):ts(2);
data1(:,2)... |
ccb67ee3c48b737c3f800f86e59d0afaece6f2de0f1f44d85654f55ddd6615e9 | MATLAB | 1,699 | 46 | % rerun preprocessing without lowpass filter for an example session
% sub = 11 (thisSub = 13)
% ses = 1
% we can reuse the regCoords
clear
p = params_2DAA;
moviePath = '\\DROBO6\Public\E7_miniscope_concat\M13\Session1\rawMovie.h5';
saveDir = 'G:\E7_2DAA\results';
regPath = 'G:\E7_2DA... |
1863d70b2da614f066c700e9cdbdad21b3a8552b3df6c5cc2db06f325587c975 | MATLAB | 1,701 | 60 | function [clust_num temp auto_sort] = find_temp(tree,clu,par) %,spikes,ipermut)
min_clus = par.min_clus;
c_ov = par.c_ov;
elbow_min = par.elbow_min;
clu = clu(1:end-1,3:end)+1; %first dim temp
y = tree(1:end,5);
maxdiff = max(diff(tree(1:end,6:end)),[],2);
maxdiff(maxdiff<0)=0;
prop = (y(2:end)+maxdiff.*(maxdiff>0)... |
32ff2f93e531c8b257cf478eb63827cff0b4dcc4f5bfb52c19a651ddd0cebe99 | MATLAB | 1,701 | 72 | function [l, coords] = read_label(sname, lname)
% [l, coords] = read_label(<sname>, lname)
%
% reads the label file 'lname' from the subject 'sname'
% in the subject's label directory into the vector l
% l will be nvertices-by-5, where each column means:
% (1) vertex number, (2-4) xyz at each vertex, (5) stat
%
% coor... |
745c84584ca2496e79aa85c7c7112c4b004394c2235c7322d856e6e4b40937a7 | MATLAB | 1,702 | 83 | function [r_path, r_cost] = dijkstra(pathS, pathE, transmat)
% The Dijkstra's algorithm, Implemented by Yi Wang, 2005
% This version support detecting _cyclic-paths_
%
% pathS : the index of start node, indexing from 1
% pathE : the index of end node, indexing from 1
% transmat: the transition matrix, or adja... |
ddf3c4f36a627141e4b3465e5981b2e87fc0b15f22c5a201a89786c4f7a6a35c | MATLAB | 1,702 | 49 | %% Load all of the files you want to plot and change the "name" variable
close all
fs = 15000; %sampling rate (Hz)
spk_count=[];
duration = 40; %trial duration
bin_duration = 0.2;
n_bins = duration / bin_duration;
bin_size = bin_duration * fs;
name= hex_ser; % call the name of a file you want to plot
peak_loc... |
8c612112f9549c5ec7e52d4ee301ebe9455a44df821dcb495d66965755ad14b9 | MATLAB | 1,703 | 49 | function [acc,weights] = get_tone_decoding_acc(tone_pool, n_tr, n_rep)
%% decode tone vs iti for all tone time steps individually
acc = [];
weights = [];
for rep = 1:n_rep
% run decoding for all times steps
for t = 1:size(tone_pool,2)
% for tone sample tria... |
4e6490b1e24aead37fe3539695893af10c282483267654ca753217b2d68fdd7a | MATLAB | 1,704 | 49 | clear
clc
[file, path] = uigetfile('clusters.mat','MultiSelect','off');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
load(datafile)
close all
%%
int_colores = {'c','k', 'm', 'r', 'g', 'y', 'b'};
for w = 1:si... |
18876254b42f857c7f4ad4a39e645fd8b17b961bd1266023f5dd0f11a279f30d | MATLAB | 1,705 | 49 | function CCRtLtSave
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon
%SpikeArrayÅLPegTouchAllARpegTouchallðACµ½NXRIO
%SpikeArrayÅLPegTouchAllðAC·é
duration=5000;
CrossCoL=[];
CrossCoR=[];
%¼ûü
for n=1:(length(SpikeArrayWon))
... |
690eeb8851b1289c131d3324a5010f7576d36fb3d76238275bcd0c814388389c | MATLAB | 1,705 | 68 | function [Bin_Table_SAVE,binCheck] = Avg5minBins(ProcessedData,setupParam,BinParam,TrialParam,x)
%delay = TrialParam.delay;
BLperiod = setupParam.BLperiod;
%BLstart = BLperiod(1) + delay;
%BLend = BLperiod(2) + delay;
ST = BinParam.type;
VN1 = {'signal' 'sigsubref' 'dFFentire_sig' 'dFFentire_sigsubref' 'Zentire_sig... |
9e8e1d0dd02564a1a8f5bd3e0c9826f9593816200f4c7c0a1ceaeea1e29b0a58 | MATLAB | 1,705 | 44 | % 计算图片中各类矿物组分的占比
clc
clear
A = imread('E:\CPL图1.png');
A = rgb2gray(A);
pixel_num = zeros(1,14);
[x,y] = size(A);
for i = 1:x
for j = 1:y
if A(i,j) == 94 % 石英
pixel_num(1,1) = pixel_num(1,1) + 1;
elseif A(i,j) == 116 % 长石
pixel_num(1,2) = pixel_num(1,2) + 1;
... |
e4accd4461cf77782219ec7d9bf008935c371add9407916de4b565172c95ee5a | MATLAB | 1,705 | 78 | function [fid_cor] = processing_MEGA_bis(fids,par)
%same as processing_MEGA
if ~exist('par'), par='';end
if ~isfield(par,'ref_metab'), par.ref_metab = 'CRE_SMALL2'; end
if ~isfield(par,'correct_freq_mod'), par.correct_freq_mod='real'; end % or 'abs'
%if ~isfield(par,'')
if ~isfield(par,'do_freq_cor'), par.do_... |
289e7cb50ee89be1af3888ffa049829dc2a533ba549fdb922477e0a3ecef6216 | MATLAB | 1,706 | 43 | function [spikes1] = int_spikes(spikes,handles);
%Interpolates with cubic splines to improve alignment.
%Not in use currently
w_pre=handles.w_pre;
w_post=handles.w_post;
ls = w_pre + w_post;
detect = handles.detection;
int_factor = handles.int_factor;
nspk=size(spikes,1);
s=1:size(spikes,2);
ints=1/int_factor:1/int... |
2aa94afa0ab74dc1cc33d4c83976ddf92039f35429f45424adf4813fa5038343 | MATLAB | 1,707 | 56 | function [Path,Cell_Body_Center] = Get_Cell_Body(im,Path,Parameters1)
% 1---------2
% | | ------>
% 4---------3
figure(1), imshow(im);
set(gca,'YDir','normal');
Scale_Factor = Parameters1(1).General_Parameters(1).Scale_Factor;
Step_Length = Parameters1(1).Cell_Body(1).Step_Length;
Rect_Width = Parameters1(... |
d6e3ced8f721598788c8b296c07d7502aefabd2ea61fb66bc22ca3704d0e6915 | MATLAB | 1,710 | 59 | classdef transposeLayer < nnet.layer.Layer % & nnet.layer.Formattable (Optional)
% 重命名为transposeLayer
% 维度转置
properties
% (Optional) Layer properties.
% Declare layer properties here.
end
properties (Learnable)
% (Optional) Layer learnable parameters.
Weights
... |
b49d5544a72bf7f2cddf2df6848aee5031890a271f63f0ebb4380237c4693f70 | MATLAB | 1,711 | 86 | % Kalman filter
clc
clear all
close all;
% load('SampleECG1.mat'); data = data';
% load('dataEEG.txt'); data = dataEEG(:,11)';
data = load('eeg.txt')'; %data = data(5001:20000)';
load LPFilterCoefs50Hzfs250Hz h
fs = 250;
% x = filtfilt(h,1,data);
x = data;
% x = data + (5.5+sin(2*pi*n*.1/fs)).*sin(2*pi*n*f0/fs)/s... |
d8cb7196cd15dee00ea418681b272debc452d7722c0f7ceec5dba2c15d6205d7 | MATLAB | 1,711 | 42 | %% plot IR SUG CELLS FORM ALL DATA
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
w = 2;% window for ploting (2 = sustaneid)
%%
for i = 1:length(datafile)... |
0dbe4569b21be6d0f40da1df3640c0b60fd2f50f351b5ffd320483fe1cd3a8db | MATLAB | 1,712 | 57 | clear
clc
%%
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
% p = 0.05; %pvalue
% numofint = 4; %number of intensities to check for response
%
mkdir 'dele... |
41b14ba933cdfb073982a6562e78ec82d6082f59d6f95fb78f567920dcc83628 | MATLAB | 1,715 | 50 | function [CosTheta, U, V] = subspace_principal_angles(A, B)
% subspace_principal_angles calculates principal angles and vectors between two column subspaces.
%
% Syntax: [CosTheta, U, V] = subspace_principal_angles(A, B)
%
% Inputs:
% A: Matrix representing the first column subspace (size: m x n1, where m is the num... |
ec4a22b7fc16babbf3cf4c1c7081c18194aba1228216baccf7281f77299ff143 | MATLAB | 1,715 | 49 | function [acc,tone_dim] = get_tone_decoding_dim_time_independent(tone_pool, n_tr, n_rep)
%% decode tone vs iti (time independent)
acc = [];
weights = {};
for rep = 1:n_rep
% for tone sample trials for specific time point
% for bl sample trial and time point
rand_idx = randpe... |
49916d5539a1fe4179824bec4634fbd6bc33293e88bc7749bd0a096bae6525f7 | MATLAB | 1,716 | 49 | %
% Test program for R-peak detection of ECG signals.
%
% Dependencies: The baseline wander and ECG filtering toolboxes of the Open Source ECG Toolbox
%
% Open Source ECG Toolbox, version 2.0, March 2008
% Released under the GNU General Public License
% Copyright (C) 2008 Reza Sameni
% Sharif University of Tec... |
2615dac56568955b3c524a9fb2c0b54849642e1a5cabc3d128a8cf48aea0714e | MATLAB | 1,717 | 69 | function out = subsref(ob, args)
%function out = subsref(ob, args)
% handle subscript references like ob.ref or ob(ref,:)
% Copyright 2002-2-20, Jeff Fessler, University of Michigan
out = fatrix2_subsref1(ob, args(1)); % handle first subscript
if numel(args) > 1 % handle multiple subscripts, e.g., ob.field()
out = ... |
099835b25f01d796821b6bed5d2cad01828d520ed69632c89fa8e3b4e75e1f67 | MATLAB | 1,720 | 36 | function [clusterMean, siteNeighbors, clusterMeanLow, clusterMeanHigh] = getClusterMean(obj, spikeWindows, iCluster)
%GETCLUSTERMEAN Get mean cluster waveform, optionally low and high
[clusterMean, clusterMeanLow, clusterMeanHigh] = deal([]);
iSite = obj.clusterSites(iCluster);
siteNeighbors = obj.hCfg.... |
55efff8b44c5e6752a28d8c9c37c808fc5fbb70980b81d7c2daac910d410c4d0 | MATLAB | 1,720 | 38 | %% mean-field inverse estimation: We use parameters and desired firing rates to estimate input LGN rate
% Input: C_EE,C_EI,C_IE,C_II connectivity matrices
% S_EE,S_EI,S_IE,S_II synaptic strength
% p_EEFail Synaptic failure prob
% f_E,f_I Desired firing rates
% rE_amb r... |
83e2e3d3db248c9459c9efdaf038d3652addbf446eb02326b6921d85388c4775 | MATLAB | 1,721 | 50 | function [Thresh,error_subspace]=Calculate_Alpha(FINAL_FEATS,labels,nPLDA)
%% This piece of code runs the PLDA function with different
% values of alpha and plot two error curves
% The projection metric distance of two consequent subspaces
% For
%% Load the data set
[Npnt,Nfeatures] = size(FINAL_FEATS);
%%
x =... |
582b8c946e2dcab4953c8fb70d32867ef6f232de11b6c4e712a75ce72d500d49 | MATLAB | 1,723 | 72 | function plot_ks(session, channel, unit, fold, tlim)
% Kolmogorov Smirnov (KS) plot of specific s-model for given period
%
% Parameters
% ----------
%
% - fold: integer scalar
% Fold number
% - tlim: [scalar, scalar]
% Time limits from saccade
% - probe: 2-by-1 integer vector
% [x, y] postion of a probe
line_wid... |
8eeaf394210abfa01998b51424cc3b68d72b258190f70cc4b40f5e223f76703d | MATLAB | 1,725 | 49 | clear
clc
[file, path] = uigetfile('clusters.mat','MultiSelect','off');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
load(datafile)
close all
%%
int_colores = {'c','k', 'm', 'r', 'g', 'y', 'b'};
for w = 1:si... |
6ff753a9526fe2f1811f74f6bd8fc62e795262948c4e35d8216880b0fc6e657b | MATLAB | 1,726 | 48 | %% Check alignment of MNI space images
%
% Sometimes the alignment to MNI space does not work well.
% This script checks whether it did.
%
% Also the option to check alignment across all MNI scans and output a .mat
% file containing the alignments to the output directory. Note alignment is
% calculated simply as the ... |
8cef3babbab1e9de26442d4cd3ab9d63891f083f16a45ad83c919da7a01d4b46 | MATLAB | 1,726 | 46 | function [fBeads]=mnl_RemoveDoubleLabelledBeads_BasedOnBeadCenter(Beads,ImDim)
sz=size(Beads,2);
n=1;
Overlap=[];
for i=1:sz
%BeadOneImLimits=Beads(i).ImageLimits;
BeadOneBeadCentre=Beads(i).BeadCentre;
BeadOneSize=Beads(i).BeadSize;
%Add the diameter to the centre (i.e. radius times 2) to make sure the... |
78c84b11c6a305d3cffcd9d419df4dae89854ff6b221cb7e42981a0649b5a248 | MATLAB | 1,728 | 57 | function st = gg_Gnufft_init(om, M, Msp, R, tau)
%function st = gg_Gnufft_init(om, M, Msp, R, tau)
%
% Initialize structure for 2-dimensional NUFFT using gaussian interpolator,
% particularly the interpolation matrix in sparse format.
% caution: this routine can require a lot of memory!
% in
% om [Min,2] "digital" fre... |
dab93570442667b04465b1c61f3d42dc66a57a424ec7ff9bf9105a97542b4c8f | MATLAB | 1,731 | 51 | %% calcualte_mean_basline_from_clusters_file
clear
clc
[file, path] = uigetfile('*.mat','MultiSelect','off');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
load(datafile)
close all
w = 2; %window to use (on, s... |
31a047e8f2914a13c41a8650795e77a8d94872db9103288653dc3869b84c3605 | MATLAB | 1,732 | 61 | function varargout = histnorm(varargin)
% HISTNORM Histogram normalized
% [...] = HISTNORM(...) works like HIST, but the frequency is normalized
% so that area sum is 1.
%
% Bonus usage!
% [...] = HISTNORM(..., 'plot') plots and returns the output arguments.
% Be sure 'plot' is the last argument.
%
% Examp... |
847e8fbd593c1f1ecbbf0059f3e3577000cf5bfeca259a0e5c3a429d4c5a9724 | MATLAB | 1,732 | 50 | % example_nufft1_antenna.m
%
% This m-file is an example of applying the NUFFT method to compute
% the far-field beam pattern of a 2D array of nonuniformly spaced
% (point?) antenna elements.
% In the nomenclature of the 1999 SIAM J Sci. Comput. paper by Nguyen and Liu,
% this is "Problem 1."
%
% This provides an examp... |
df7571654b7314f5bdcedb01b0497f657218ac99ace8f743e8d8e2e06052106b | MATLAB | 1,734 | 64 |
function net = DnCNN_init(num_layers)
%%% Initialize the model with num_layers layers
b_min = 0.025;
lr11 = [1 1];
lr10 = [1 0];
weightDecay = [1 0];
meanvar = [zeros(64,1,'single'), 0.01*ones(64,1,'single')];
% Define network
net.layers = {} ;
net.layers{end+1} = struct('type', 'conv', ...
'weights', {{sqr... |
e90e4d87e4874b1ee39c8736cd2e9f89b5212841dbb250426f9272e65f24e67b | MATLAB | 1,736 | 60 | function coeff = calc_dist_coeff(dim,N,min_euclidean_dist)
%CALC_DIST_COEFF Coefficient of minimum distance
%
%Syntax
% coeff = calc_dist_coeff(dim,N,min_euclidean_dist);
%
%Description
% COEFF = CALC_DIST_COEFF(dim,N,MIN_EUCLIDEAN_DIST) sets COEFF to be the
% coefficient in the expression for the lower bound on the mi... |
f3943ad572a7c3c0259d6e5f100985e1d7958c0e885fabe6ce502bd4b2308fe1 | MATLAB | 1,736 | 51 | function [ts_motion, ts_meanstatistics, ts_stim_meanstatistics, ts_stdstatistics, ts_stim_stdstatistics] = extractTS(ts_list, ntime, stim_list, stimDur)
% This program is intended to extract time series and statistics.
%
% input:
% ts_list: data of timeseries
% ntime: length of time series
% stim_list: stimulatio... |
a23b82bb6c3cff88fa00d6bbab3d6f48571fc738fa44b27861daf753a43bda1d | MATLAB | 1,738 | 59 | function groupexperiments(group)
%% Group experiments by averaging the projections
%
% data = groupexperiments(group)
%
% Input:
% group: experiment ID of a single experiment file (e.g. '100140756'), or
% cell array containing multiple IDs. In the latter case the experiments
% will be averaged.
%
% EXAMPL... |
cafb9b7bfcec287ea644f7f76cdb317c495bae0e53884905c6fba04fde4f0ce6 | MATLAB | 1,743 | 56 | function [synCh, beat] = syntheticChannel(x, winL, Peakloc)
%
% [synCh, beat] = syntheticChannel(x, winL, Peakloc)
% synthetic channel construction based on Robust weighted averaging
%
% Fahimeh Jamshidian Tehrani,
% jamshidian.t@gmail.com
% September 2022
%
% input:
% x: input ECG record it can be multicha... |
a4b5631f9bcc45623e81930686767a583b735036256a0742d425c6cad3cf96f6 | MATLAB | 1,745 | 45 | function [status, count] = write_binary_signal(x, fs, ofname)
% write_binary_signal - Save a multichannel signal as a binary file (readable by read_binary_signal)
%
% Syntax: [status, count] = write_binary_signal(x, fs, ofname)
%
% Inputs:
% x: Matrix of input data (channels x samples)
% fs: Sampling frequency
% ... |
4402355f70c2bdc29c512ae9454a30f7605ca5365d198494293589753b9bc8a9 | MATLAB | 1,747 | 52 |
function [pi_0_ehmm , coupling_tetha_ehmm , transition_ehmm ,ehmm_gmm_para, index_matrix, pi_0_chmm , transition_chmm , chmm_gmm_para] = im_para_eqhmm(pi_0_lsim, lsim_gmm_para, coupling_tetha_convex_comb, transition_matrices_convex_comb)
C = length(pi_0_lsim);
channel_num_states = zeros(1,C);
for c = 1:C
cha... |
97bc6e2db32c9606c51f40e5628431fb25fdea4cf5c4d9b4e96b8ee92b69f0ca | MATLAB | 1,749 | 80 | function [b, b_iters] = CGbasic(E,m,varargin)
% b = CGbasic(E,m,varargin)
%
% Basic linear conjugate-gradient approximation to inverse
%
% updated Sep 25 to attempt to add 'hot start' (not yet correct!)
[maxIters, useDisp, b_start] = process_options(varargin,'maxIters',15,'useDisp',0,'b_start',[]);
m = single(m); % d... |
ac8403d209a2ade5e808fb311219aa1f5b07652a725d1aa7351ec4a3f97aaff2 | MATLAB | 1,749 | 74 | function c = get_water_content_tour(cmet)
marsbar('on');
pp.wanted_number_of_file=1;
pp.verbose=0;
anat_dir = '/home/romain/images5/spectro7T/anat';
%c=cmet;
for npol = 1:length(cmet)
c(npol).pool = cmet(npol).pool;
suj = cmet(npol).suj;
for ns = 1:length(suj)
sujname = suj{ns};
sujreg = [su... |
22fa71735039c1fdf1eb0fc55547015fca8b534d77c15b4887f15ac7006f44c6 | MATLAB | 1,750 | 54 | function [main] = shadederrbar(x,y,sem,color)
%Name: shadederrbar
%Created By: Pratik Mistry
%Created On: 27 July 2018
%Updated: 31 July 2018 -- Turned the main plot into a output variable.
%
%[main] = shadederrbar(x,y,sem,color)
%
%Description: This code creates a plot of the main graph with transparent
%shad... |
36a7bab60772188fdd63b00a346a586d6ad25cb86ced216c25fa9f374a10a14d | MATLAB | 1,752 | 45 | function YFIT = model_all_Su_log(param, time, V, model_v, model_t) % param : mu, alpha, beta, ks, ka
[g,m] = size(V);
param = reshape(param, 1, length(param));
param_v = param(1:3);
param_s = param(1:4);
%param_a = [param(1:3), param(5)];
ke_s = 3.26;
%ke_a = 3.85;
for j = 1:g
switch V(j)
case 1
... |
500553981b0a79fa35e05275296239317c72143bc2a33d1876423a65fb9ecd18 | MATLAB | 1,753 | 61 | function X = dtft2(x, omega, n_shift, useloop)
%function X = dtft2(x, omega, n_shift, useloop)
% Compute 2D DTFT of 2D signal x at frequency locations (o1, o2)
% in
% x [N1,N2,L] signal values
% omega [M,2] frequency locations (radians)
% n_shift [2,1] use [0:N-1]-n_shift (default [0 0])
% useloop 1 to reduce memo... |
0a6344ca2b49ded07b2f6b12315507ef303763379e29779037bffd9164978769 | MATLAB | 1,754 | 49 | %% Iterations of LDE: Use precomputed function to determine output of a cell type
% Input: L4EmeshX, L4ImeshY Domain of precomputed functions
% LDEFrfunc_Subf Functions of all input type for certain cell
% population
% L4EUse,L4IUse All input L4E L4I
% LDEUse Just fo... |
d66c76f906d897beea6d5d6c1afab415e0cd0b22dbc1d2f747d446249bbaf3fc | MATLAB | 1,754 | 64 | function [Bx_tot, By_tot, Bz_tot] = getBfield(Q,R0,rx,ry,rz)
%Sanitization of input
sizQ = size(Q);
sizR0 = size(R0);
sizrx = size(rx);
sizry = size(ry);
% sizrz = size(rz);
assert(sum(sizQ == sizR0) == length(sizQ), 'Dipole and position arrays do not match in size');
assert(sum(sizrx == sizry) == length(sizrx), 'Sup... |
8a2aaf096928222859ea073de627fe003b630f088cd4c45235280e9e6da974e3 | MATLAB | 1,755 | 79 | %% this script can be used to generate coarse alignment coordinates
% we do this if the automatic alignment fails because there are
% large scale rotations or translations
%% load maps
p = params_FC;
%SUBJECT WAS EXCLUDED!
sub = 0; % thisSub = 84
for ses = 1:p.nSessions
thisSub = p.subjects(sub);
fpath = full... |
e475277d449f87d13482cb1fb385fbbe4470c71911e6ae20518ec3336e50fdf7 | MATLAB | 1,756 | 42 | % Has to find a way to symmetrize the LGN and L6 inputs to pixels. The
% insymmetry largely comes from the inhomogeneous distributions of cells in
% different pixels.
% PixL6Ctgr: N*5 (or other number) matrix. Each column represents one
% domain (orientation * ocular).
%% NOTE:!! The code here largely depending on th... |
4be801713d1f2ca12856e7e6794b1ddbf46c87f9d56e12fe4c57c61c672365a6 | MATLAB | 1,757 | 56 | function [spikes,index,thr] = amp_detect_pol(x, par)
%detect spikes in a tetrode
%PARAMETERS
w_pre = par.w_pre;
w_post = par.w_post;
ref = ceil(par.ref_ms/1000 * par.sr);
awin = par.alignment_window;
% SPIKE DETECTION FOR EACH CHANNEL
% Detects all spike times including all channels
% there will be spike times very... |
558610142d10ed27701dadc16d0f134513240a8702acd972a1b36371fe17014b | MATLAB | 1,758 | 53 | % Calculate intersection bw T2_masks and eroded_GM_mask (to see whether GM
% can be considered as a 'NORMAL APPEARING GRAY MATTER')
clearvars
close all
addpath(genpath('/storage/stella/MATLAB_toolboxes/'));
addpath('/storage/stella/Analysis/matlab_scripts/');
lesionmaps_path = '/storage/shared/MScubric/LESION_MAPS/';
... |
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