sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b22df11e6f81a51d285a2f7d12f603fd6b1035b60e41dcab0a7d57cb4707e070 | MATLAB | 2,691 | 82 | function [xposfireone, xposfiretwo, xposfirethree, xposfirefour] = placeFiring2(nZones, texture, startAndEnd, distanceX, activeindices)
activepts=zeros(nZones,1);
activeindices=logical(activeindices); %indices of active points for all zones
for zone=1:nZones
activepts(zone,... |
d0064d4b409513ea0c12ef6deb577d68c68088e1c2c95e5a24e5db34319beb92 | MATLAB | 2,692 | 74 | clear, close all
%% Frequencies plot
% Data extracted from simulations, measures and analytical model in eq. 5
% of the paper.
load data_frequency_analytical.mat
f = figure(1);
f.Color = [1 1 1];
f.Position = [25 25 485 425];
ax1 = plot(CL, freq, "LineWidth", 1.5, "Color", "#F5266D");
hold on
ax2 = plot... |
2a2d076c01fd688c455f9f0cc6cb90419179f3aeab608a5fed358219a4af5ca1 | MATLAB | 2,693 | 73 | function [flag, val, errMsg] = validateProp(obj, propname, val)
%VALIDATEPROP Ensure a property is valid
if isfield(obj.oldParamSet, propname) % map the old param name to the new one
propname = obj.oldParamSet.(propname);
obj.isV3Import = 1;
end
flag = 1;
errMsg = '';
% found i... |
439143733047fff655cffe540003ad96ac3e718cc35444e8a842d94c95fd3a16 | MATLAB | 2,695 | 70 | clear, close all
load data_panels.mat
%% Prepare figure main
f = figure(1);
f.Position = [30 30 1100 500];
f.Color = [1 1 1];
t = tiledlayout(1,2,"TileSpacing","loose","Padding","compact");
ax1 = nexttile;
plot(R1on.Vin, R1on.V, 'LineWidth', 1, 'Color', '#F5266D')
hold on
plot(R1off.Vin, R1off.V, '--', 'L... |
9e98b6e5385be807b8bd73beb6c9442323fe7f3d8d3e098021e06a93ee0e569e | MATLAB | 2,695 | 81 | %% Figure OVAs ************************************************************
function plot_ova(x1Grid,x2Grid,posterior,CMprobs,Xpca,ONEpca,labelconditions,...
TWOpca,Y,CM,ColorIndx,RangeProbs,Yconfident)
% setup
Labels=unique(Y,'legacy');
numClasses=numel(Labels);
% Plot:
fprintf('>>Making Plot: ...\n')
figur... |
fc39f8673c6928096a09b6c7d45bd1d809204f9b3f424d26203bb38ce7277de3 | MATLAB | 2,697 | 66 | function [LFParray LFP_aligned]=LFPCrossCorr(LFPsamples_RunCC,CCselect,GaussSmooth,MovW,Direction,TimestampArray,duration)
%MATLABtH_ÉNlx2MatCSC.mexw32ÆNlx2MatCSC.mexw64ðüêĨB½ÔñÇ¿ç©ÐûÅæ¢B
%timestampsÍ270336¸ÂÁB270msÆvíêéBtimestampsÌ512ÂÌTvB
%270336/512=528. T... |
16dae5db2e87dbfb66d5899c799b022c945f898566ba025897a3df7be91719e9 | MATLAB | 2,698 | 66 | function update_intervall_popup(app)
%update_intervall_popup updates the selection options for all popup menues
%for the selection of specific intervals. to be called after intervalls
%were edited
% Detailed explanation goes here
if ~isempty(app.burst_ints)
names = {'full'};
for i = 1 : length(app.burst_ints)... |
0bbb88d6911788ab511fda30c7b551267a207625fbd09563f64d74b7138b74e2 | MATLAB | 2,701 | 52 | function idxStates = extractBehavioralStates(beh)
%Extract behavioral states using data in beh structure.
%
% First column contains indices of samples during immobility, excluding
% reward if present.
% Second column contains indices of samples during locomotion, also
% excluding reward if present.
% Third... |
6c411ae10955e0546f28c860397d2a25fe0d7b3b7c99d0b4b789b050eb2eac89 | MATLAB | 2,703 | 61 | function [pval,rho,gr] = scatter_gramm(g,Z,labels,colors,color_fp,fp,varargin)
% scatter_gramm plots a scatter plot using the gramm toolbox with the
% parameters used to reproduce figure 9 in the manuscript. Statistical
% tests are performed as well in accordance to whether the data is normally
% distributed or n... |
f864a3934895d00f1e0fe139d5bfaef95f3dda5886198caa676de6ca3a2cc98a | MATLAB | 2,704 | 82 | % This script takes the output files of `extract_checkerboard_task_rois.m`
% and plots the result into a `.ps` and `.pdf` file.
%
% TODO: finish this script
%
% -------------------------------------------------------------------------------------------------------------------------
fmri = fMRIMethods;
roi_list_name ... |
85c81d9ae6d88e9151d4a5712e99a749d0e627e14f47b07f27f859b264041b6c | MATLAB | 2,705 | 78 | function Touches202003003
path=['C:\Users\C238\Desktop\touchcellLtRt_terashita'];
cd(path);
TouchesArray=[];
PNTouches=[];
morePPoint=0;
moreNPoint=0;
morePTouches=0;
moreNTouches=0;
OOTouches=0;
NOTouches=0;
NOTouchesFire=0;
NOTouchesFR=[];
LS=ls;
for i=1:length(LS(:,1))
TrimFolder=strtrim(L... |
5d2c24025ff548875ce3c42ab2327a8f7130d84d7f50a398bd5ebf19cc77252b | MATLAB | 2,707 | 108 | %This will be the simulation script. Data is generated according to a
%gaussian distribution. Currently requires the Mathematics toolbox to
%generate the precision matrices: Omegas.
addpath('pibdfc_functions');
seed = 2;
rng(seed);
%% Generating the data.
N = 300; %The length of the time series
Subs = 5; %The number ... |
305ae4371426c7d7c1d58a9419ab167dbd22b6bd696284b8deaadbd7fb71eb14 | MATLAB | 2,708 | 57 | % Copyright 2024 Eelke Spaak, Donders Institute.
% See https://github.com/Spaak/rift-phase-and-visibility for readme/license.
% Belongs with:
% Spaak, E., Bouwkamp, F. G., & de Lange, F. P. (2024). Perceptual foundation and extension
% to phase tagging for rapid invisible frequency tagging (RIFT). Imaging Neuroscie... |
f622387050cce08ef50ac399366bb3c1a8468f5b839aefcf68f50281f7eadffc | MATLAB | 2,708 | 164 | function write_conc_res_summary_stat(conc,resname,field_list)
dottest=1;
stdrel=1;
if ~exist('field_list')
field_list = find_metab_list(conc);
end
fid = fopen(resname,'w+');
npool=1;
fprintf(fid,'\n\n,');
for kf = 1:length(field_list)
fprintf(fid,',%s,%s',field_list{kf},field_list{kf});
end
if isfield(con... |
9e96b91f10d164bc57279e11e28db1bf09b4ac8fd118c297cdb8890756566056 | MATLAB | 2,709 | 73 | %% LDE iteration w/o figures
% Output: Iteration firing maps, and L1 diff norm
function [LDEEpoOut,L1DiffNorm] = ...
LDEIterationMain(...
PixInptCtgr,LDEIni,p,Epoc,...
C_SS_mean,C_CS_mean,C_IS_mean,...
C_SC_mean,C_CC_mean,C_IC_mean,...
C_SI_mean,C_CI_mean,C_II_mean,...
L4EmeshX,L4ImeshY,LDEFrfun... |
7c328dcd335b5b0c17dec83551bbd5a31525db64d57ba0633c589dee26be1878 | MATLAB | 2,710 | 106 | function parse_data_int(filename, max_memo_GB)
% max_memo_GB is an idea of the number of GB allocated for the data to be
% stored in RAM, so it is used to compute the number of segments in which
% the data should be split for processing
% Based in read_intan_data.m version 1.1, June 26, 2010
% (c) 2010, Intan Technolog... |
ffa4c01b45bcfb65bca9ca9a5292b10db071f549d8db5eea5f3c744fb7cc5af4 | MATLAB | 2,710 | 92 | function h=mnl_boxplot_NoChoices(data,ColumnNames,YvalueLabel)
% Marcus' version of boxplot where outliers are not recorded, and raw data
% points are plotted too
%
% Red line is the mean, red whiskers are the standard deviation, blue line
% is the median, blue box is the interquartile range, and the blue whiskers
% ar... |
54f64a3c3a60da9f0426e1fe01814a6f99d0f12814b8bce12b3e358ab8c85ab2 | MATLAB | 2,713 | 109 | function map = lbmap(n,scheme)
%LBMAP Returns specified Light-Bertlein colormap.
%
% LBMAP(N,SCHEME) returns an Nx3 colormap. SCHEME can be one of the
% following strings:
%
% 'Blue' Single-hue progression to purlish-blue (default)
% 'BlueGray' Diverging progression from blue to gray
% 'Br... |
1c08d0fd11d6638ec59d1c2d4f6feb89faa88d1531118d2be2788cb5640ca5aa | MATLAB | 2,715 | 71 | % Statistical test for functional modularizations
%
% Example of how to use the toolbox for the statistical test in
% "Correlations reveal the hierarchical organization of networks with latent binary variables" (2023) Stefan Häusler
% Runtime on an Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz (28 cores): < 1 sec execut... |
dc63d88b441a78947708b76b2a23c66404db406de6789a3fbfc07a8ba71d74ef | MATLAB | 2,715 | 88 | function lbmrn= mst_density(spatial,density)
%INPUTS: spatial = spatial coordinates of the nodes
% (M x d) = M # of nodes,d dimensions
% density = number of connections divide by the possible number of
% c... |
ef2cdd84a1bddc9ddf47c02b43f66f8c93a7241f15c902031a59df42e9c89de4 | MATLAB | 2,715 | 117 | % interp_table_test.m
hr = @(t, J) (1-abs(t/(J/2))) .* (abs(t) <= J/2);
hi = @(t, J) (1-abs(t/(J/2))).^2 .* (abs(t) <= J/2);
% 1D
if 1, printm '1d'
L = 10;
J = 6;
s = [-J/2*L:J/2*L]'/L;
hs = hr(s, J) + 1i * hi(s, J);
if length(hs) ~= J*L+1, error 'size', end
if im
clf, subplot(211)
plot(s, real(hs), 'c.-',... |
b5b6f022db1047e36acb689df019b1fd0aa9f57bde713e1e913e86fb3ab0f9e8 | MATLAB | 2,716 | 71 | function class_out = force_membership_wc(f_in, class_in, f_out, par)
% class = function force_membership_wc(f_in, class_in, f_out, par)
% Given classified points, try to classify new points via template matching
%
% f_in: features of classified points (# input spikes x n_features)
% class_in: classificat... |
0b4ed8df8b368ef63344c6e6feba4b0d1e4b3bd60bf4fff845c5a3a37b776d21 | MATLAB | 2,717 | 89 | % first it checks the first session for each person, then the second
% session, so on...
% hogy simple-t is számíts: írd át a type1...type4-et
clear all
eegdir = 'D:\BORI\bedrest\RENDEZETT\A) Bedrest_EEG\Bedrest_PreEEG_amb_ctrl\EEGErps'; %change this for HDBR data
plus_ident = '_';
plus_ident2 = [];
referenc... |
0951c64b283fee8a7c388e10f36897ceb0821f0b42a1c1463426a3aa7413fd11 | MATLAB | 2,718 | 126 | %% generate synthetic neural signal and synthetic BG signal
pad_size = 200;
fr_size = 500;
fr_size_pad = fr_size + 2*pad_size;
sd_cells = 5;
sd_bg = 50;
% BG
frame = zeros(fr_size,fr_size);
randIdx = randi(fr_size*fr_size,30,1);
frame(randIdx) = 1;
frame_pad = zeros(fr_size_pad,fr_size_pad);
frame_pad(pad_size+1:end-... |
1dd26fd1d24ff02ab9722cca0eb661686d96bf6febdd8c348c431442165b418a | MATLAB | 2,718 | 60 | function Data = Collect_All_Neuron_Points(Data)
Scale_Factor = Data.Info.Experiment(1).Scale_Factor;
Data.Points = struct('X',{},'Y',{},'Length',{},'Angle',{},'Curvature',{},'Is_Vertex',{},'Dorsal_Ventral',{});
Data.Points(3*(10^4)).X = nan; % Memory pre-allocation.
% Vertices = struct('X',{},'Y',{},'Order',{... |
a249e97a6060d74156e1fefd0e3e295194070fe4a9f42c2e7657646675333b40 | MATLAB | 2,721 | 88 | clear, close all
load single_neuron_vin_osc.mat
load vin_osc_measures.mat
%% Prepare figure
startt = 3;
endt = 6.5;
f = figure(1);
f.Position = [20 20 350 800];
f.Color = [1 1 1];
t = tiledlayout(6,1, "TileSpacing", "compact", "Padding","compact");
ax1 = nexttile;
ax1.LineWidth = 1;
hold on
l1 = plot(d... |
22b900d407f5e188962e3cfe7451426d017ca0e40e16e7c89fe0c7a249d3aa92 | MATLAB | 2,723 | 97 | % this script calculates the average value of Free Water fraction in
% selected ROIs
clearvars
close all
addpath(genpath('/storage/stella/MATLAB_toolboxes/'));
addpath('/storage/stella/Analysis/matlab_scripts/');
%% Select inputs
masks_path = '/07_FAST_FIRST_outputs/FF_PVESEG/';
FWF_name = '_01_csfVolumeFraction_MAP_... |
d80d7ec492008ea814b2c312c681ffc477151a57b7003b6608b4b81b104f2bdd | MATLAB | 2,728 | 66 | function [y, W, A] = spectral_component_analysis_bp(x, fl, fu, varargin)
% spectral_component_analysis_bp - Spectral component analysis (SCA) using
% time-domain bandpass filtering approach. Extracts and ranks linear mixtures of
% multichannel data with maximal energy in a given frequency band.
%
% Usage:
% ... |
aecfaaf6b4d80d50c1b38026e9138049355e833032252755e62790481fb9f625 | MATLAB | 2,730 | 99 | function modulation20190705
global ACresult ACresultW CCresultDrinkOn SpikeArray TurnMarkerTime RpegTouchallWon LpegTouchallWon...
RpNum LpNum CCresultSpike locsP1time locsP2time locsP1time2 locsP2time2 pksA1 pksA2 CCresultRtouchWon CCresultLtouchWon dpath3...
StartTime FinishTime DiffMaxMinR DiffMaxMin... |
29cef3ab4315d3f37ed7358c00a513bd7c9f5bc7514a836b89166b90ac7e97ee | MATLAB | 2,732 | 91 | classdef SortTest < matlab.unittest.TestCase
%SORTTEST Test spike clustering
properties
hJRC_CPU;
hJRC_GPU;
end
properties (Dependent)
res_CPU;
res_GPU;
hCfg_CPU;
hCfg_GPU;
end
methods (TestClassSetup)
function setupProps(obj)
... |
44f9bdcb1448db5b039c753a02883e3d88798198aab4fd68bbeb8767ecea6466 | MATLAB | 2,732 | 102 | clear; clc; close all; rng('default')
assert(~isempty(strfind(pwd, 'embanded/examples/matlab')), 'Please change folder to the examples directory')
run(strrep(pwd,'examples/matlab','setup.m'))
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simulate data.
% Generate some training data
num... |
4b3b0c6f42dffcb836397e00c6ed99f8e72c00c77fc6dc321205fc3be0b15c3a | MATLAB | 2,733 | 109 | %% Figure S8a
load('sampleLFP.mat')
% Define parameters
fs = 1000;
filter_order = 4;
ct = [4 10];
ct = ct / (fs/2);
% Design a bandpass Butterworth filter
[b, a] = butter(filter_order, ct, 'bandpass');
% Apply the filter to the data
bpasstheta = filtfilt(b, a, double(head_movLFP)')';
% Compute the ana... |
3e0d044a5f6966d5b2896b919cc27456dadc816c047a064f946d66a437d03798 | MATLAB | 2,734 | 98 | function Randomizer_ShowHitDurationResults(out, flag)
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
if nargin < 2
flag = 0;
end
figure(105+flag);
clf
DoF1 = (numel(unique(out.Design(:,1)))> 1);
if size(out.Design,2) < 2
DoF2 = false;
else... |
bb5eeb81cc62dd0689c71b860e6ea2b1d6d390fe36cf81b801c9955dae771f90 | MATLAB | 2,734 | 95 | function show_r3_point_set(points_x,varargin)
%SHOW_R3_POINT_SET 3D illustration of a point set
%
%Syntax
% show_r3_point_set(POINTS_X,options);
%
%Description
% SHOW_R3_POINT_SET(POINTS_X) uses a 3d plot to illustrate a point set in relation to
% the unit sphere S^2.
%
% The argument POINTS_X must be an array of real ... |
10393c42afcca4f0f9bb274254e395e86b84c696409da45fe29d4591d56a96a4 | MATLAB | 2,735 | 82 | function reset_results(app,res_data,res_derived)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
if res_data
app.data = [];
app.comments = [];
app.settings = struct('interval', [nan, nan; nan, nan],...
'channel_sheet', [nan, nan],...
... |
3cdae367cdf6d3f8ccc636320bcd33b24ff528dec3a74bf7c1427f6abd4d2a14 | MATLAB | 2,735 | 92 | function supp_fig4_region_dos(folder, save)
%% Supplemental figure 4: DOS region diagonal graphs (right side)
%% Load
if nargin == 0
folder = 'All';
end
load('structures', 'structures', 'regions');
load(fullfile(folder, 'data'), 'dos', 'mode', 'thresholds', 'nodelist');
N = size(dos.density{1}, 1);
NR = length(re... |
5a967b0851af969cdf3e69f784f3c8b89eb27fffd1e8037356ae62ef929ed6d7 | MATLAB | 2,735 | 49 |
%% Extracting SNPS with main effects for variant prioritization for interaction testing
snps=readtable(strcat('D:\Canada_2020\UK_biobank\reports\AD\genetics\EURnoWB\METAL\FUMA_WMH_META\GenomicRiskLoci.txt'));
snps.Trait=repmat({'WMH'}, [length(snps.rsID),1]);snps.TraitNum=100*ones(length(snps.rsID),1); allsnps=snps;
s... |
235cc283666dd8f991d10f8252a9732592cd671289171089b396b0aaa4ff1755 | MATLAB | 2,737 | 104 | function DrinkTouch_Analysis(DrinkOnArray,DrinkOffArray,RPegTouchAll,LPegTouchAll,TurnMarkerTime,DrName)
% RPegTouch¨æÑLPegTouchðDrinkÅalignµ½Æ«Ìfrequencyðär·é
global DrinkOnArray DrinkOffArray RPegTouchAll LPegTouchAll TurnMarkerTime DrName
DrName
% ACselect=DrinkOnArray;
ACselect=DrinkOffArray... |
d79d426f154377f95d5f18cd6fc4a65ed537933ee49d5b5c8a27cec41e09d576 | MATLAB | 2,737 | 100 | function processing_LCmodel(type,preproc_dir,par)
if ~exist('par'),par ='';end
defpar.sge=0;
defpar.jobname='lcmodel';
par = complet_struct(par,defpar);
if ~exist('preproc_dir')
preproc_dir = '';
end
%if ~isempty('type')
% type='ws';
% type='mega';
%end
root_dir=pwd;
sel = spm_select(inf,'dir','select a dir... |
16f7eea900f24fe153ae36795c57ac51d7800771d79abd3336ecf15099a8524c | MATLAB | 2,738 | 88 | function k = findknots(x, nknots, varargin)
%
% Description:
% This function finds suitable knots along the ECG signal for spline or
% polynomial fitting. Starting with the first and last samples as initial
% knots, it iteratively selects points with the maximum distance from the
% reference line (the lin... |
ea8f75e6a8e87566da32293117f886e9352dc062379d39096da8152770065cb4 | MATLAB | 2,738 | 84 | function [WS_m, parcel_ws] = senpai_spinecatch(seg,cIM,sz_th)
% senpai_spinecatch:
% takes the result of a k-means clustering performed by
% senpai_seg_core and
% defines catchment basins for branches with watershed method.
% Dendritic spines are expected to fall within the catchment ... |
72408ddb7546128521b3d81b5f037614204e4a4a05276c5145255f6d05a2655e | MATLAB | 2,739 | 70 | function [feature_vec, feature_info, mean_beat] = ecg_snr_features(data, R_peaks_indexes, increasing_beat_length, Pre_Rpeak_segment, Post_Rpeak_segment)
% function [feature_vec, feature_info, mean_beat] = ecg_snr_features(data, R_peaks_indexes,
% ... |
dc2f912b4372a9fb315cc209ef6444060cb858fa3ab8514cf2c8b11d5bc90053 | MATLAB | 2,743 | 116 | function Analyse_Osteocytes_python(filename, foldername )
diary ('matlab.log')%-------------------------------------------------------
% Filtering, automatic thresholding, segmentation and
% skeletonization of osteocyte lacuno-canalicular network
% based on confocal image stacks.
%
% Philip Kollmannsberger, las... |
e68dad062553063a45f23fdbda7e5b8f1b8cd3808d96881c98f443b03277638c | MATLAB | 2,743 | 63 | clear all
close all
clc
%% load example multisubject FC matrices
load example_mats.mat
A = A(:,:,1:5);
[N,~,T] = size(A); % number of nodes/layers
C = cell(T,1); % create cell array
for i = 1:T % populate array
C{i} = A(:,:,i);
end
%% set some parameters
gammarange = [min(A(:)),max(A(:))]; % range of ... |
bd34da530f6c9463cad98c8e56870f5920fe72878f70ae01d1556194a81b9a57 | MATLAB | 2,749 | 93 | function generate_maps(category)
%% Generate maps
% This function should generate all maps used for the figures, and store them
% in designated folders with their respective figures or something?
%% Select experiments, folder etc.
if nargin == 0
category = 'All';
elseif ~ischar(category)
category = char(catego... |
f3cdd391eb99a3e578ac0e7af0e37a213b75865f3bfd0e82a620f1671f141eaa | MATLAB | 2,750 | 80 | function [spikes] = spike_alignment(spikes, par)
% spike_alignment_batch
% function for alligning spikes detected outside wave_clus.
% INPUT: Matrix of spikes in an ascii file. Spikes must be grouped in a
% matrix called 'spikes' with a spike per row.
% OUTPUT: matrix of spikes alligned with the maximum in sample set... |
df80b66b388048c570072d604bcec7329c6e8679e5e87c7847ba60090685361a | MATLAB | 2,752 | 76 | function derived_burst_signals(app)
%DERIVED_CARDIAC_SIGNALS interpolates the hb_res.dt_instantaneous
% Detailed explanation goes here
tmp = nan(1,length(app.data));
idx=0;
for i = 1: length(app.data)
tmp(i) = app.data(i).tic_multipl;
if strcmp (app.data(i).name,'BURST INTEGRAL')
idx = i;
end
end... |
5488e4943cfbe27e28ecbea894858bc13ef67fe77b252016e1d98916cbc6503f | MATLAB | 2,756 | 84 | function exportToHDF5File(objs,fobj,save_path,conversion_options)
%
% adi.channel.exportToHDF5File
%
% See Also:
% ---------
% adi.file.exportToHDF5File
DEFLATE_VALUE = conversion_options.deflate_value;
MAX_SAMPLES_PER_READ = conversion_options.max_samples_per_read;
CHUNK_LENGTH = conversion_op... |
f20da48ea40933e14eebd8bc1b1559e4d64df81e579f524fb8fc35c3495e0153 | MATLAB | 2,756 | 73 | function y = bp_filter_complex_ma(x, fc, bw, order)
% bp_filter_complex_ma applies a zero-phase bandpass filter to the input
% signal using a multi-stage moving average (MA) filter with complex-valued
% frequency shifting.
%
% Syntax:
% y = bp_filter_complex_ma(x, fc, bw, order)
%
% Inputs:
% x - Input... |
2688fd086bbdf99d8aeb0c02de9680e6e4a1aaf9c8378dbf121a14ac78a55fad | MATLAB | 2,757 | 75 | function [spikes, spike_times_all, n_ch, present_unit_ids] = construct_spikes(firings, templates, Fs)
% NOW ASSUMES EVERY UNIT IS ON THE SAME SHANK (SINGLE SHANK DEVICE)
n_ch = size(templates,1);
n_clus = size(templates, 3);
% disp(n_clus)
START_TIME = 0*Fs;
DURATION = 400000*Fs; % more than ten... |
7fc17a291d425faf8565a9240a2256d9a1210779924dffea7a9d6b9519bb6427 | MATLAB | 2,757 | 85 | function gui_cg()
%
% This function is needed by FASTICAG
% This file just removes the global variables
% that are used in FASTICAG from the memory
% 8.5.1998
% Hugo Gävert
clear global c_FastICA_appr_strD;
clear global c_FastICA_appr_strV;
clear global c_FastICA_dMod_strD;
clear global c_FastICA_dMod_s... |
850e50f71db8877384f0781b046916d7261bebb78566000634956afec6ef8432 | MATLAB | 2,757 | 96 | %% plot diam distributions
this_cols = {'g','r'};
this_alpha = {0.5,0.6};
saveFigs = 1;
ad = cat(2,all_diam{:});
ad = ad*1.25; % convert from pixel to microns
av = cat(1,all_valid{:});
figure('Position',[100 100 300 300])
hold on
histogram(ad(av ~= 1),0:2:60,'Normalization','Probability','FaceColor',this_cols{2},'Fac... |
6b9ad899ea5b75362885a9b31f3ac65370347d8207e0f47e64d61b459db1213d | MATLAB | 2,758 | 75 | function p = mcnemar(x,varargin)
%MCNEMAR: Permorm McNemar's chi square on a 2x2 matrix
% In statistics, McNemar's test is a non-parametric method used on nominal
% data to determine whether the row and column marginal frequencies are
% equal. It is named after Q. McNemar, who introduced it in 1947. It is
% applied to ... |
876662ed22085bc92c231f03eb89ffea97a9341caa5ff37207bd7109770ca41b | MATLAB | 2,758 | 87 | function intervals =...
calcR2overtime_paper(spikeCellArray,binLengths,binStarts,opts)
%% get metrics over different time windows
% function simply loops through required intervals (defined in bin space)
% and
%% inputs:
% - spikeCellArray: each cell is a condition, with nTrial cols and nBin rows
% - binLengths: ... |
fc4b9b2c65e238d1f3d3f39c513b2c7e21b1695d12beab6edaf0b13d01ef50be | MATLAB | 2,760 | 99 | classdef JRC < handle & dynamicprops
%JRC Handle class for spike sorting pipeline
properties (SetObservable, SetAccess=private, Hidden)
errMsg; %
isCompleted; %
isError; %
isDetect; %
isSort; %
isCurate; %
end
proper... |
8d05c84d459bcd016ccfd423e7b957ae56fd5008ac7c651aff82fcf3924a6cfe | MATLAB | 2,761 | 89 | function yhat = lsqisotonic(x,y,w)
%LSQISOTONIC Isotonic least squares.
% YHAT = LSQISOTONIC(X,Y) returns a vector of values that minimize the
% sum of squares (Y - YHAT).^2 under the monotonicity constraint that
% X(I) > X(J) => YHAT(I) >= YHAT(J), i.e., the values in YHAT are
% monotonically non-decreasing wi... |
98b53bb002e7e3225c7e8ce790268cc4c34e8c7d59a2e018a6f5a30b66736c38 | MATLAB | 2,764 | 82 | classdef pointer < handle
%POINTER manages the data to display and the rwaves to display
% Detailed explanation goes here
properties
start_idx
stop_idx
dspl_idx
pre_idx
post_idx
dur
ax_1
ax_2
length
end
events
... |
941ff602db175231c7de5f75da1917ae9e4e0296fe01c6e268e731520829ad92 | MATLAB | 2,765 | 87 | function y=sgolayfilt(x,k,F,W,DIM)
%SGOLAYFILT Savitzky-Golay Filtering.
% SGOLAYFILT(X,K,F) smoothes the signal X using a Savitzky-Golay
% (polynomial) smoothing filter. The polynomial order, K, must
% be less than the frame size, F, and F must be odd. The length
% of the input X must be >= F. If X is a m... |
82ec878b861a8194fe8bb293f5f3d8851fdafb938e0963146e4c9a778b1cf010 | MATLAB | 2,766 | 95 | function ICAtests(x,emb_dim,emb_tau,kneig,algo,kmax)
% Reliability test for any ICA output (linear transformation version!)
% Output: Dependency Matrix, Variability Matrix, and MI vs rotation angle
% plot (to check if the components are indeed the most independent one)
% x....input data mxn m...channelnummer n...s... |
a4d2df926a2633e143fff109b39bc11da1e82527d2dd2f9db6f19899c7a0aae0 | MATLAB | 2,768 | 64 | function [threshold,bic] = ggmm_thresholding(stat_filename, mask_filename)
% read the data (spmT and mask), call the EM code and return the T value
% for the cluster forming threshold
%
% FORMAT: [threshold,em,bic] = ggmm_thresholding(stat_filename, mask_filename)
%
% INPUT: stat_filename: full name (ie with path) of ... |
d84ae4b60484b8fc470b14b610925101889e3803da7a84b129f6836e8a5130ef | MATLAB | 2,768 | 51 | function Coordinates1 = InRect_Coordinates(Mat1,Rxy)
% TODO:
% flipud. the y-axis is now upside-down.
% maybe I can use the sign(+\-) of the distance and check only 2 perpendicular side (instead of 4).
% Scale 'S' based of the # of pixels in the smallest bounding matrix.
% Make sure the coordinates of the re... |
da54b217a4ceaa1629b3792a1d4ca9b4eb2497633299b845913f84948d0a6f42 | MATLAB | 2,768 | 90 | close all;
clear;
clc;
resultfname = 'testFreqDomainEnergyIncreaseRate01.txt';
% parameters
subject = {'Dog_1', 'Dog_2', 'Dog_3', 'Dog_4', 'Dog_5', 'Patient_1', 'Patient_2'};
ffs = 160; % resample rate
f0 = 60; % powerline frequency Hz
Q = 30; % notch filter Q-factor
% wlen = [0.5 1.0 3.0 5.0 10.0]; % energy window le... |
6463f8b82ffd7e76c35c4935d1e1a99badcea4fe867ff59fd9ef3eea462fdb8f | MATLAB | 2,770 | 56 | function [outUnit] = burstIndex(unit,raster)
%get the input data, and then run all the periods
% outUnit is slope and then intercept of the bursting period, and then the same
% for the late period. OutFRs is firing rate, and then burst fraction
%https://pubmed.ncbi.nlm.nih.gov/9246432/
%tasks = fieldnames(Data.(unit));... |
3524d9437917aa5f29239b822f3f181584f689ee2686cd8c65e59a04b7de5b5b | MATLAB | 2,771 | 106 | clearvars -except ONimageS OFFimageS refpic Error EC
%% Calculate Rsp
CC1 = EC;%total;
NF=size(ONimageS,1);
rep = size(ONimageS,2);
currRsp = zeros(CC1.NumObjects,NF,rep);
for ci=1:CC1.NumObjects
area = mean(refpic(CC1.PixelIdxList{ci}));
for j2=1:NF
for j3 = 1:rep
if... |
069fa713a6e40e26f78a05b039f76dd61bae71c3ceba2f54d3b1122f9d8c0b1e | MATLAB | 2,772 | 42 | %clear % - can't use clear if running in loop (e.g. SUMMARY==2) or using !!MAIN_figs!!
DATA_DIR = 'C:\Users\shirt\Downloads\anxiety-main-finale\anxiety-main'; %AZ changed accordingly
ALL_DIR = strcat(DATA_DIR,'\\All');
% SUB_DIR = strcat(DATA_DIR,'\\Subjects');
GRP_DIR = strcat(DATA_DIR,'\\Group');
WORK_DIR... |
b8d593b9f74f23a273615901bf2461acad0436447fb4b38742c5501af85f3859 | MATLAB | 2,774 | 80 | function [index, rank] = sqi_saturation_detector(x, varargin)
% sqi_saturation_detector - Signal quality index based on saturation detection.
%
% Usage:
% [index, rank] = sqi_level_crossing(x, bins, ranking_mode, edge_bins_to_average)
%
% Inputs:
% x: Input signal matrix with dimensions [L1, L2]
% bins (o... |
3eb24f10ca95c7873315807328b68857e135e9f2b83772ed3aea77af7fd271c9 | MATLAB | 2,777 | 81 | % *************************************************************************
% * Test program for Instantaneous Phase estimation using the Zer-pole *
% * Perturbation Phase estimation method (Z-PPP) [1] through analytic *
% * representation, IIR filters and forward-backward filtering. *
% * Refer to th... |
c91b0ab193bca541bb967fc850e6d0f0d825dde5d689a814a7ac83b397af2fa1 | MATLAB | 2,779 | 86 | % function [vlKeep_ref, channelMeansMAD] = carReject(vrWav_mean1, P)
function [keepMe, channelMeansMAD] = carReject(channelMeans, blankPerMs, blankThresh, sampleRate)
%CARREJECT
channelMeansMAD = [];
channelMeans = single(channelMeans);
blankWindow = ceil(sampleRate*blankPerMs/1000);
if blank... |
5b4529eb59c85e1d77ea086df83947bb036c37eaa45a7bf3dc1d6fa86ff146d1 | MATLAB | 2,781 | 85 | function helpbox(message)
% helpbox(message)
%
% This function overrides Matlab's helpdlg box, since it is quite awful.
% This function ensures font will be displayed big enough for both
% windows and mac computers.
% It also allows one to include new lines '\n'.
% Copyright Benjamin Cowley, Matthew Kaufman, Zachary B... |
2b94f9b4a5792c7924c12cd2f8407392e9c84405ec2feaca21712f20d3b0540d | MATLAB | 2,788 | 86 | %% save all_data files to breain render table
% (10) cells that are both transient and sustained intensity-encoding.
% A map showing the (11) cells that are transient intensity-encoding, (12),% cells that are sustained intensity-encoding,
% all recorded cells.
clc
clear
[file, path] = uigetfile('*.mat','MultiSelect','o... |
b2513fde1936da275af3e00fe52852cf85f64c575976dcba6b1e60126d1b1a9b | MATLAB | 2,788 | 93 | function [AUC1, AUC2, meanTIMESERIES1, meanTIMESERIES2, maxTIMES1, maxTIMES2, Pvalues] = visualizeBOLDresponses(BOLDresponse1, BOLDresponse2, ROIname, resultpath, colors, type, stim)
% This program is intended to visualize and calculate the BOLD signal.
%
% input:
% BOLDresponse1
% BOLDresponse2
% ROIname
% re... |
41694e85c9fdc0a93f7224085fb34e430291e02b5b2506ee0b02eb15397b6d56 | MATLAB | 2,789 | 79 | function [Training_Frames,Training_Classes] = Generate_Training_Set3(Frame_Half_Size,BG_Samples_Num)
TrainingSet_MaxSize = 50*10^6;
TrainingSet_MaxSize0 = 10^6;
% Min_Num_of_Neuron_Pixels = 0;
Training_Frames = {}; % xTrainImages.
Training_Frames(TrainingSet_MaxSize) = {1};
Training_Classes = []; % tTrain.
T... |
712120cbe73bbfd2a62e497d54f679eeccf7148070c41bb18a7df27c4cb33663 | MATLAB | 2,790 | 61 | %% RdLight Paper Figure 1E
%% Light Artifact Across Time: NAc
load('N1609A_fig1d_L.mat')
concatenate = [data.final(3).allFP_dFF(:,2); data.final(3).allFP_dFF(:,3); data.final(3).allFP_dFF(:,4); data.final(3).allFP_dFF(:,5); data.final(3).allFP_dFF(:,6)];
% Need to multiply the baselined values by 100 to get perce... |
03d9e0aeb3762dd3b8f964fa12b4e2c02e406671c7800e455dfcf9df382de2cd | MATLAB | 2,792 | 105 | %% Plot rate functions from LDE data
% Input: L4EPlot Grid for E Y*X
% L4IPlot Grid for I Y*X
% FrLDE LDe computed firing rates (XY)*5: SOn COn SOff COff I
% a1,a2 lengths of X Y range
% CtgrName Name of OD Category
% ODCtgr OD Category: 1-3
% CellCtgr: S C I
% va... |
086c20eadd7fba2be9314f51d4d30269a54e0a918e913d27df8c8cca8cac270d | MATLAB | 2,793 | 68 | function update_intervall_popup(app)
%update_intervall_popup updates the selection options for all popup menues
%for the selection of specific intervals. to be called after intervalls
%were edited
% Detailed explanation goes here
if ~isempty(app.burst_ints)
names = {'full'};
for i = 1 : length(app.burst_ints)... |
730c48626a67b66206d01520e84c7b279ebc14c6c8c7621eab4bc722efa4fd19 | MATLAB | 2,793 | 73 | % A script demonstrating how updates to the ionic activity coefficients involving decadic rather natural logarithm (see our comment/annotation at the
% Elife article https://elifesciences.org/articles/48890) maintain a very similar-to-the-original
% behaviour both for the fixed-Cl and dynamic-Cl variant of the model.
%... |
16cde915450b0fdbfcaa562e6cdb63952ef21a45ac1fec84f7790ad88f73ac88 | MATLAB | 2,794 | 64 | function [peth] = getClusterPETH (st, events, bin, window)
% Peri-Event Time Histogram (PETH) - alignment of spike times to event time
%
% [peth] = getClusterPETH (st, events, bin, window)
%
% INPUT
% Note: all inputs must be in same time scale (e.g. seconds)
% 'st' - cell array with spike times
% 'events'... |
28d6c37c9f4cb05785c1d0fd23ba51ce8a595e35ee379a199eb4bb72c829fcd7 | MATLAB | 2,794 | 76 | %% ENTROPY ALGORITHM --> LOADING ONE CHANNEL
fs = 12500; %sampling frequency (for Axion)
WS = fs*0.5; %window size to calculate Spectral Entropy in samples fs for 1s
overlap=0.5;%other than 0.5 makes it more complex and code needs to be changed
TotalDataSample = length(DataCell{1,7});%length data in samples
SElength = ... |
41c00c05dd49c63c747b1bec7775f3505850230b31449d6c51b76833643747f9 | MATLAB | 2,796 | 90 | function [sqrl] = Holsclaw_Param2(sqrl_old, st_ind, xDat, a, b)
%% This function is a Gibbs sampling step to sample new values for the log linear coefficients
%% in the Holsclaw et al. paper for sampling from heterogenous HMMs.
%% Inputs:
% Xi_old: The values of the Xi parameter for the previous iteration
% Z: The a... |
f720ca9d14462918f565436f96f383da62dc7cbcf68a7e46ce25c247ea1528cd | MATLAB | 2,798 | 81 | %% Remove effect of spike rate:
clear;
load H1\H1_Data_Simple;
%%
lambda = 0;
ynlags=50;
unlags=25;
npc=5; % PCA
cuts=[10,5];
%% exclude high spike cases from bright time data
trials_to_include =1:135;
[Y,Ylag,U,Ulag]=prepYU(Y_trial,U_trial,ynlags,unlags,trials_to_include);
spikes=sum(Ulag>0,2);% calc spi... |
a89d788ca390826d9e0b1497ee837acc6b2284af1e98eddba4e7f067028d76d8 | MATLAB | 2,802 | 88 | function S = loadMetadata(metafile)
%LOADMETADATA convert SpikeGLX metadata to struct
% TODO: build into Config workflow to cut down on specified parameters
% get absolute path of metafile
metafile_ = jrclust.utils.absPath(metafile);
if isempty(metafile_)
error('could not find meta file %... |
b2392bd41779feb939f52b0f02a0ea2f1c7e135b1de24f9b4ea89212f8595778 | MATLAB | 2,802 | 73 | %% all ramps from all data
clc
%% get relevant parameters
[file, path] = uigetfile('all_rampT.mat');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
load(file)
baseline = cell2mat(cellfun(@(x) x.mean, allT.baseline_vector,UniformOutput=false));
psth = ce... |
7b0b88c2da604c2e6f23a6a8bcc3f70c79d3896d0495472c6d84c8e74075d469 | MATLAB | 2,803 | 85 | function terashita190508
%^b`ÔÌÊ©ç^b`ÉηéÎð\zµ¼zÌÎp^[ð^b`ÅÄÑAC·é
cd('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51');
dpath=('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51\');
dpath3=('C:\Users\C238\Desktop\Cheet... |
c32653e70192f03ef9e2f949e18115b0064a89df0956c7526c63a4c08967b138 | MATLAB | 2,803 | 73 | % This function reads the PMDFs of the feasible channels selected by AD from the
% PMDFs.data file and place them in the allPMDFs matrix
%
% INPUTS: srcs sources selected by AD
% dets detectors selected by AD
% nVoxels number of GM nodes
% minR... |
b85995ccfafb6161363b7ef2657ad63a13d3777e48af080973c25725695ad957 | MATLAB | 2,804 | 141 | function [T,N,M,H,VV,PP,XU,XD,Fext]=HHmodelWpiston(gkFactor,gmFactor,ghFactor)
%Best results in:
%50,5,0.5 which come out to be 0.103, 0.0103, 0.00103
Cm=1;
%R=
an=@(x) 0.01*(x+55.0)/(1.0 - exp(-(x+55.0) / 10.0));
am= @(x) 0.1*(x+40.0)/(1.0 - exp(-(x+40.0) / 10.0));
ah=@(x) 0.07*exp(-(x+65.0) / 20.0);
bn=@... |
d0fdf38b37b3456ba3f52c8d6d585666703a0eeac9c2c2c246e125b150c769be | MATLAB | 2,807 | 73 | function data = alignData2Rew(data,tBefore,tAfter)
%alignData2Rew - Align photometry and velocity data to reward delivery
%
% Usage:
% data = alignData2Rew(data,tBefore,tAfter)
%
% Description: This function aligns data to the delivery of a reward
% within a specified window.
%
% NOTE: If you per... |
38ee520927b1a7a061428b63a44fdabed89f90e120b797661aa9e85d4419f84a | MATLAB | 2,808 | 74 | function probe(obj, probeFile)
%PROBE Plot a probe layout
if nargin > 1
[~, ~, ext] = fileparts(probeFile);
if isempty(ext) % a convenience for a forgetful mind
probeFile = [probeFile '.prb'];
end
probeFile_ = jrclust.utils.absPath(probeFile, fullfile(jrclust.utils.b... |
ba100c100572df7adb336cd21a8a2e7a96327ab0ab13c83230972c75e2120bb8 | MATLAB | 2,808 | 78 | function RLphase
global ACresult ACresultW CCresultDrinkOn SpikeArray RpegTouchallWon LpegTouchallWon TurnMarkerTime RmedianPTTM RpegMedian LmedianPTTM LpegMedian...
RpNum LpNum OneTurnTime CCresultSpike locsP1time locsP2time locsP1time2 locsP2time2
bin=20;
phase1R=zeros(1,bin);
phase2R=zeros(1,bin);
phase1... |
521f19132d4e6e9c05e8ace0a815ff43051b044fb39a29aa112b35bf228e3499 | MATLAB | 2,812 | 100 | function td_data = load_atis_data(filename, flipX, flipY)
% td_data = load_atis_data(filename, flipX=0, flipY=0)
%
% Loads data from files generated by the ATIS CAMERA
% This function only read (t,x,y,p) and discard other fields (if
% any) of events.
% timestamps are in uS
% td_data is a structure containing the fields... |
05ab4a5c7df62b55e951ef556d560e393a3f81d96a587fe997df09ee7010bc93 | MATLAB | 2,813 | 72 | function [Signal, t] = simulate_aperiodic_eeg2(Exponent, Offset, Duration, SampleRate, WelchWindow)
arguments
Exponent = 2;
Offset = 2;
Duration = 30; % seconds
SampleRate = 250;
WelchWindow = Duration;
end
% [Data, t] = simulate_aperiodic_eeg(Slope, Intercept, Duration, SampleRate, WelchWindow)
% ... |
eaa80f76930a60030be7fd6867b755a95cab598cae1b035ed38dfa724e8d938f | MATLAB | 2,813 | 86 | function Matching
global ACresult ACresultW CCresultDrinkOn SpikeArray RpegTouchallWon LpegTouchallWon TurnMarkerTime RmedianPTTM RpegMedian LmedianPTTM LpegMedian...
RpNum LpNum OneTurnTime CCresultSpike locsP1time locsP2time locsP1time2 locsP2time2 fname tfile WaterOnArrayOriginal A1Rt A2Lt htouch TouchSpik... |
eb88309b3f43f0d5c81534d488b407ae3b952d53ddb68957e9b7e369fe52fff5 | MATLAB | 2,813 | 87 | % smm to tif file, a file or all file in a folder //MJ 2121
clear all
%% Filme Info.
path = '/Users/brunger/Dropbox/archive/programs/single_molecule/smCamera_conversion/smm_conversion/examples';
AllFileInFolder = 'y'; %'y' all smm file in the folder will be converted
filehead = 'film1'; % for single file
%% ... |
f47766f5186c3cb4a756fd85d41ee12b04b9bc6bcc5a2b117a416605c21961da | MATLAB | 2,813 | 99 | clear all
% this script contains code to reproduce Figure S9a-c
%% load data
% drag and drop corresponding file (S10 Data)
%% data content description
% variables contain average T scores from GLMs (.Tmoy) and uncorrected p values
% (.mask)
% I_awake_ChR2 is from awake animals expressing ChR2 in M2
% ... |
bb60acb402a6bcb7d8c2276dcebdb3cd3e1166e70ade833d56ca309759031b76 | MATLAB | 2,814 | 61 | function [pval,effect,gr] = boxplot_gramm(g,Z,colors,varargin)
% boxplot_gramm plots a boxplot using the gramm toolbox with the parameters
% used to reproduce figure 8 in the manuscript. Statistical tests are
% performed as well in accordance to whether the data is normally
% distributed or not.
%
% [p,d,gr] ... |
cd249339581d0f44d73645a7fa33dbb49668d02a3c24fba42ab7646fec0891ac | MATLAB | 2,815 | 66 | function data = processOnsetOffset(data,params)
%Process Onset and Offset Data
%
% data = processOnsetOffset(data,params)
%
% Description: This function takes a data structure with velocity traces,
% onset and offset indicies, and fiber photometry data and aligns
% photometry to movement onset and offset... |
97c50141a1482130b4417e1908caca9e6681ef079e11056509d0466b50b8a17d | MATLAB | 2,816 | 113 | close all;
clear;
clc;
% parameters
subject = 'Dog_1';
number = 2;
path = ['E:\Sameni\Projects\Seizure\' subject '\'];
mode1 = 'interictal';
mode2 = 'preictal';
ch = 1:16; % desired channels
time = [8 10]*60; % in seconds
nfft = 5000 - 1;
SpectralWinLen = 10; % in seconds
SpectralOverlapPercentage = 50; % [0 99]
% lo... |
1194df088df765570e9e47e7c598c651bb2141308ff25a54c5bc0035903eb19d | MATLAB | 2,818 | 66 | function data = processOnsetOffset(data,params)
%Process Onset and Offset Data
%
% data = processOnsetOffset(data,params)
%
% Description: This function takes a data structure with velocity traces,
% onset and offset indicies, and fiber photometry data and aligns
% photometry to movement onset and offset... |
ee022944eac156948c3c9f3b38b7060912a95fde05806d5dda8e05a48f4ab682 | MATLAB | 2,822 | 77 | function [cData,Scale,dim]=mnl_ProcessImageForNeurolucidaImages
%The first step of the Neurolucida Imaging
% Inputs
% User prompts to define images and other properties
%
% Outputs
% -cData - The 4D image that has been corrected for chromatic abberation
% -Scale - The XYZ scale
% -dim - The dimensions of the image.
%... |
96cb1e1582ff64968aba55ebcd9ecedc1b567e7bc7b66e51c00771c4b0d086fa | MATLAB | 2,823 | 107 | function h=BreakPlot(x,y,y_break_start,y_break_end,break_type)
% BreakPlot(x,y,y_break_start,y_break_end,break_type)
% Produces a plot who's y-axis skips to avoid unecessary blank space
%
% INPUT
% x
% y
% y_break_start
% y_break_end
% break_type
% if break_type='RPatch' the plot will look torn
% i... |
8133d2a5b4ee3f5a9096286171371e8426d186cccf29b1e7c905bb07e72136d5 | MATLAB | 2,825 | 90 | function [modelParams, R2] =...
fitDescFunAndValidate_spikeCounts(spikeCountCellArray,xAxisVals, k, randFlag,...
fitMeans, validMeans, customFun, x0, lb, ub, nSolvers)
%spikeCountCellArray = units(4).dmSC_trial_speed;
%xAxisVals = 1:7;
if numel(xAxisVals)~=numel(spikeCountCellArray)
error('xAxisVals must h... |
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