sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
30011a06baf5196d2c73abd0b535a39fa9c1859aaee43a64c466e4d8c67811e7 | MATLAB | 1,379 | 62 | function fig = PlotcmpECG(x, y, L,varargin)
% Plot two multi channel ECG for comparison
%
% inputs:
% x: first input data matrix
% y: second input data matrix
% L: number of panels per figure
% fs: sampling rate (1 by default)
%
% The Open Source Electrophysiological Toolbox,
% Released under the GNU Genera... |
e3b4dc21529ca3f82cc779bc9d9a0aabf632e1117e493823de977ec164f7f076 | MATLAB | 1,379 | 32 | %craete a clusters brain render file with the same cordinates of the all
%cells cluster (and solve the fliping problem and jitter problem)
%load clustering brain render table
clear
clc
[file, path] = uigetfile('clustersing_data.csv','MultiSelect','off');%When the user clicks the load psetion button, a window should op... |
be89162634a62880df36a8344c205908f85f28b4bf7c5758c2a0adfb522b3e53 | MATLAB | 1,381 | 50 | function dsData = downsampleTLab(rawData,dsRate,dsType)
% Tritsch Lab Downsample Data
%
% dsData = downsample_TLab(rawData,dsRate,dsType)
%
% Description: This function downsamples data based on the last argument
% being the type (bin summation, bin averaging, and traditional
% downsampling
%
% Input... |
f16e7c58b72b39e359d7b7be6d875f15658d15fc133a5de8be83a2d5506a4d4c | MATLAB | 1,381 | 37 | function [INDEXES] = getINDEXES(t, tevents, window4mean)
INDEXES = struct();
INDEXES.t_events = tevents;
INDEXES.dt_instantaneous = diff(tevents);
INDEXES.rate_instantaneous = 60./diff(tevents);
if length(tevents) > 1
%INTERVALLO
INDEXES.t = t(t > tevents(2));
wi... |
c50100a3b315b1f4e0bbca3d80370e42168c4ce96ce180ed3b86bf3f8928db09 | MATLAB | 1,383 | 59 | % This code was ported from the nipy project (http://nipy.org) and was
% originally contrributed by Bertrand Thirion - returns gamma parameters
function [shape, scale] = gam_param(data, weights)
eps = 1.e-5;
i = data > 0;
szi = sum(weights(i));
if szi > 0
shape = compute_c(data(i), weights(i), ... |
ed5abb5368ba4be058026c13f604ebe4c90664c351515c2eee842c7896434f32 | MATLAB | 1,383 | 47 | % Function to evaluate Hierarchichal Clustering by means of
% Naive Bayes Classifier
% Input
% Rclust: Raster of active frames
% frames_labels: Labels at each frame of the raster
% Output
% Mdl: Classiffier
% ECV: Error Cross Validation
function [Mdl,ECV]=Nbayes_Ensembles(Rclust,FRAMES_LABELS)
%% Setup
% Nensem... |
96c36f573b521ac4881c0359b9edf4564958776763027962055100e1d59d0ad2 | MATLAB | 1,385 | 41 | % Function to plot ACtivity of Cells in 3 stacks of boxplots:
% Facilitated
% Depressed
% Unchanged
function plot_boxplots_cellgroups(GlobalRoA)
figure;
[bda_final,bdam_final]=pairedraincloud('paired',[0,1,0;0,1,0],0,0,...
GlobalRoA.fac(:,1),GlobalRoA.fac(:,2));
[bda_final,bdam_final]=pairedraincloud('paired',... |
eafabe7881c76f9162618018f8183f312e79fcf7acfc1bde162b0c3be655e6df | MATLAB | 1,386 | 32 | function [ output_args ] = runPreprocessing( p )
%RUNPREPROCESSING runs preprocessing for all subjects and sessions
% loop through subjects and sessions
for sub = 1:p.nSubjects
for ses = 1:p.nSessions
disp([char(datetime('now')) ' Starting preprocessing for Mouse ' num2str(sub) '/' num2str(... |
32c862f2894c5b09620447ac886ea4ebb5a86c1d00d167cd67ad81fd263dd228 | MATLAB | 1,387 | 61 | function [xhd CI] = rst_hdci(x,nboot,plotCI)
% [xhd CI] = hdci(x,nboot,plotCI)
% HDCI computes the 95% confidence interval
% for the deciles of a distribution
% using the Harrell-Davis estimate
% See Wilcox p.130-134
%
% GAR, University of Glasgow, Sep 2009
rand('state',sum(100*clock));
if nargin < 2;nboot=100;p... |
cfdd8a331c478ecf500ab0365a56712709807d70ff8f5a7631ae36eabd39fa2a | MATLAB | 1,389 | 29 | function [av_trials,err_trials,iti_trials,iti_err_trials] = ...
get_full_ae_trials_in_subspace(p, av_trials_all,err_trials_all,iti_trials_all,iti_err_trials_all,q,trial_idx_ses,sessions)
%% collect A/E data
av_trials_cat = {};
err_trials_cat = {};
for sub = 1:p.nSubjects
av_trials... |
dacfcf5cecf806d8bd2bbf68697c0f14ec9dfe0754295a9757ed804e0a7d58ad | MATLAB | 1,391 | 53 | function rst_boxplot(varargin)
% routine to make box plots specifying several parameters for display
%
% FORMAT rst_boxplot(data,linewidth,boxcolors,boxfillcolors)
%
% INPUT data a matrix of data to plot using box plot
% optional:
% linewidth the thickness of box and wisker lines
% boxcolors a RGB ma... |
378ee95197c817c0474c19d05bd1eeb57687a64f111edbf511f55fc9023cc74e | MATLAB | 1,393 | 51 | function [sig, kernel, kernel_ft] = nufft_best_gauss(J, K_N, sn_type)
%function [sig, kernel, kernel_ft] = nufft_best_gauss(J, K_N, sn_type)
%|
%| Return "sigma" of best (truncated) gaussian for NUFFT
%| with previously numerically-optimized width
%|
%| in
%| K_N K/N
%| J # of neighbors used per frequency location
%... |
2bc34538e981f008d1e37b5bb85b90567104a824550a9788dd3fabfae29f4c59 | MATLAB | 1,394 | 32 | % Obviously this needs to point to your data (Siemens MP(2)RAGE with 3D-FatNavs)
rawDataFile = '/Volumes/WD2TB_Data2/data/2018_05_10_TracInnovTest/meas_MID00045_FID34860_MPRAGE_FatNavs_1mm_iso_movement.dat';
% And this needs to point to the folder containing the TCL data from the
% same session:
TCLdir = '/Volumes/WD2... |
2aebc21f8ae71f2cb76580c11421fe174747f53652c8910232c7ff5443f035ad | MATLAB | 1,396 | 56 | function [Q, P] = polar_decomposition(A, varargin)
%
% Calculates the polar decomposition of a square (complex) matrix A:
% A = QP in the right mode
% A = PQ in the left mode
% where Q is a unitary matrix and P is a positive-semidefinite Hermitian
% matrix.
%
% Usage:
% [Q, P] = polar_decomposition(A,... |
608f1b64f94363fc4937cb6bafc8af7a5b69149e358f6e18cb5cfdb588b41fd5 | MATLAB | 1,396 | 49 | %% sides per session ttest
cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\figure1_stats\TTEST_SIDES')
load("all_cells_sides_and_sessions.mat")
%%
G1 = grpstats(T,["sessions","side"],"mean","DataVars",["is_ir","is_responsive"]);
R = G1{find(contains(G1.side,'R')), ["mean_is_responsive","mean_is_ir"]}... |
171ddc2211b2fbce789e86ee93b2809a894b9084cfbd9a06e81621f92267a4fa | MATLAB | 1,397 | 56 | % NOTE: after fixing this once, the logic of the script doesn't work
% anymore...
% inspecting 2DAA M8S9 (subject10)
% there were several problems with the recording:
% - miniscope started too early
% - miniscope stopped too late
% - bcam started too early (since miniscope was already running, but not as early as mini... |
4bdac6f0aa3b40c0dbc19affe400979e7225543412f58ae6316b3836d412dc49 | MATLAB | 1,397 | 40 | function predcond = PID_DecodeFromSpikeCellArray_customTrainTest(tempUnits, tuningAxes)
% temp units has the fields trainSpikeCell (learn tuning) and testSpikeCell
% (spike counts to gen predictions from). Shapes are of the tuning shape.
tuningShape = size(tempUnits(1).trainSpikeCell);
numDims = sum(size(tempUnits(1... |
321470f19c5951b8d1b230a78988048034002bcad6a649b2e0d44f6fd845a7b6 | MATLAB | 1,398 | 49 | function S = mToStruct(filename)
%MTOSTRUCT read and evaluate a .m script, convert workspace to struct
S = struct();
lines = jrclust.utils.readLines(filename);
lines = stripComments(lines);
if isempty(lines)
return;
end
try
eval(cell2mat(lines'));
wspace = whos();
... |
bd9debab565cf1a8d7dae32dae5445f209ad913aa42127a2f8e3494f0e9162af | MATLAB | 1,398 | 52 | function ALLCellKL20190618
global EnveRLPhaseTM EnveCCresultSpikePro meanKldistDiff KldistSame dpath tfile
Oldcd=cd;
FR=[dpath,'CCSFolder'];
cd(FR);
LS=ls;
k=0;
KldistSame=[];
KldistDiff=[];
for k=1:length(LS(:,1)) %%%%Ù©Ì×EÆÌär
cd(FR);
FL=strtrim(... |
575ebd7e8e8efdc112a04224122e764e9db876492daf3e607df537f8af28b2ef | MATLAB | 1,399 | 51 | %
% Test program for automatic ECG model fitting
%
% By:
% Reza Sameni, September 2010
% Shiraz University, Shiraz, Iran
% reza.sameni@gmail.com
%
% modified June 2018
clc
clear
close all;
load('SampleECG2.mat'); data = data(1:15000,2)';
fs = 1000;
t = (0:length(data)-1)/fs;
f = 1; ... |
e84f24dd6d532a6ebc1ede476351c2741907d573bf207bffbf7915e8b51136e7 | MATLAB | 1,399 | 52 | %
% Test ECG Spectrum plot
%
% Dependencies: The baseline wander toolbox 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 Technology, Tehran, Iran -- GIPSA-Lab, INPG, Greno... |
391c12a39486d84b0bbe15b9610c5e22280119bc933a2b163369d448dccb70d1 | MATLAB | 1,402 | 61 | function [gfp,p,AllP] = AnTop(data,n_iter,flags)
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
ns = size(data,1);
ne = size(data,2);
quiet = 0;
nrm = 0;
if nargin > 2
if ~isempty(findstr(flags,'q'))
quiet = 1;
end
if ~isempty(findstr(... |
64a32dcc641d67bd3044e6e8c249caa7c5c33d2c50d31b2477dcc8ad5ca0ba6d | MATLAB | 1,403 | 53 | function plot_s_knl_stm_all_prbs(session, channel, unit, fold)
% Plot stimulus kernel of specific s-model for all probes
%
% Parameters
% ----------
%
% - fold: integer scalar
% Fold number
info = get_info();
width = info.width;
height = info.height;
... |
c9233d7d68cff5f957a7f8dc066611ba6de03451d61693996ae01ae28517100f | MATLAB | 1,403 | 62 | % An implementation of Jacobi's algorithm for symmetric matrix
% diagonalization: The cyclic by row algorithm.
% Ref: Golub, Gene H., and Charles F. Van Loan. Matrix computations.
% JHU Press, 1996, Sec 8.4
%
% Reza Sameni 3/1/2019
% email: reza.sameni@gmail.com
%
function testJacobiDiagonalization01
clc;
clear;
close ... |
035eb8462ff4cf99a2d65e90d08061944f78040b80657f7fc852dbd8a2a97d9e | MATLAB | 1,405 | 46 | function [ t_pool] = prepare_data_tone_decoding(p, traces, evs, bvs, tis)
% prepare data for tone decoding
% - here we align trials to tone end (we exclude avoid trials with early
% shutoffs)
% - we dont differentiate between avoid and error
% - we directly pool over sessions
%% calc scale factors per subject
... |
48508fb075862a4a16518bde7111f9dfc7a4fe84b88e1d7ba43b91720ae2fba6 | MATLAB | 1,405 | 60 | function e001_writeFileFromScratch
%
% adi.examples.e001_writeFileFromScratch
%
% In this file I wrote many more eus samples than presssure but the
% Labchart loader didn't show all of the eus data
%
% I'm not sure why this is occuring but the big lesson seems to be that
% the program doesn't completely freak out... |
51f6912aeabdf3c6cda8dfbc90cd255dbca1833d0ce8bd1fd5bd4924c5b678a4 | MATLAB | 1,405 | 45 | % combine two linked nodes into one, keeping the first one
function [node,link] = combine_nodes(node,link,i,j)
% remove all links between nodes from first and second node
lk_i = find(node(i).conn == j);
lk = node(i).links(lk_i);
node(i).links(lk_i) = [];
node(i).conn(lk_i) = [];
lk2_i = find(node(j).conn == ... |
de8949657db1b0943f5f00198b1724e7d05942ab8f64e853d99d3e446f916ff6 | MATLAB | 1,405 | 61 | %% plot histograms
this_cols = {[.7 .7 .7],'b'};
ring_col = [200 100 150]/255;
figure('Position',[100 100 300 300])
hold on
histogram(ccs,'FaceColor',this_cols{1})
histogram(ccs_nl,'FaceColor',this_cols{2})
xlabel('Corr. Coef.')
ylabel('# Cells')
legend({'w/ lowpass norm.','w/o lowpass norm.'})
ylim([0 120])
fpath ... |
156fb948e6d2c0dcd1272fda6fbe80105b921669b1a909bf1c0c7ae25b27da8c | MATLAB | 1,406 | 43 | function [T0, T1] = calculate_time_lags(peaks, phase)
% calculate_time_lags - Calculate time lags for the pseudo-periodic component
% analysis algorithm (PiCA) using the R-peaks and the ECG phase signal.
%
% Usage:
% [T0, T1] = calculate_time_lags(peaks, phase)
%
% Inputs:
% peaks: Vector containing the ind... |
5371a680c510fdd9b320ecd52c18487f39c4d6c9e37e778ea5fb9e4624692d3f | MATLAB | 1,406 | 39 | classdef Project_Class < handle
properties
Data
GUI_Handles
end
methods
function obj = Project_Class() % Constructor.
obj.Data = struct('Segments',{},'Vertices',{},'Points',{},'Axes',{},'Parameters',{},'Info',{});
obj.GUI_Handles = struct();
end
function S = project_init(o... |
7cf51615cf178d623d2de3766b7241e6dbd8908a008eb3ebca14995d6d5b65ed | MATLAB | 1,406 | 41 | function r_regions = ideal_region_list(dim,N,c_polar,n_collars)
%IDEAL_REGION_LIST The ideal real number of regions in each zone
%
% List the ideal real number of regions in each collar, plus the polar caps.
%
% Given dim, N, c_polar and n_collars, determine r_regions,
% a list of the ideal real number of regions in ea... |
b187d16f81cccb8b1c110540487a19e217e50d961333fa70bcc32b78e8649e9f | MATLAB | 1,407 | 32 | clc
clear
cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\effect size\f6\i')
x = importdata("all_ints_with_tags.mat");
%%
g1 = grpstats(x,["file_name", "tag"],"mean",DataVars=["Is_reponsive","Is_reponsive_and_IR"]);
g1.t = grp2idx(g1.tag);
% g2 = grpstats(g1,"tag","mean", DataVars=["mean_Is_reponsive... |
b12776cee4480c98526e0f52969b2fe68c1051db974687cdb98793a03d553081 | MATLAB | 1,408 | 34 | function [C1,C2] = lineEllipse(a,b,O,A,B)
% Get points of intersection of line and Ellipse
% INPUT : a - major axis of Ellipse
% b - minor axis of Ellipse
% O - center of ellipse i,e (h,k)
% A, P - points of striaght line (x1,y1) and (x2,y2)
% OUTPUT : C - Point of intersection of line an... |
314e5102375d50dfc0de2465507d490f0bccf58ce2431ac2d65b0867c0d7514e | MATLAB | 1,409 | 42 | function data = RemoveChannels(data, I)
% RemoveChannels has been deprecated. May be removed in future updates.
warning('RemoveChannels has been deprecated. May be removed in future updates.');
%
% y = RemoveChannels(x,I);
% Eliminate unwanted channels
%
% inputs:
% x: matrix of input data. Smaller dimension i... |
49b2388e64f34b545532b93db11c62802d34bedc05ab1d24cb4197875519d291 | MATLAB | 1,409 | 43 | function auto_min_vent(app)
if ~isnan(app.settings.channel_idx.res_flow)
if isempty(find(contains(vertcat(app.data.name),'min. vent.')))
[data,ts,~, ~] = current_signal(app, app.settings.channel_idx.res_flow);
t= ts(1):ts(1):ts(2);
sig_p = data;
sig_p(sig_p<0) = 0;
sig_n = d... |
7b0d2d4e8577f29fc80c057e7c38ac416da2faea68fe6f2e6ce0afc26077d6c5 | MATLAB | 1,409 | 38 | %% compare number of responsive cells per exp in 2 data sets
clear
clc
%load responsive cells per exp (output of calculate IR responsive from data
%set 1 (PFC)
[PFC_file, path] = uigetfile('PFC_responsive cells per exp.mat');
cd(path)
X1 = load(PFC_file);
X1 = X1.responsvie_and_ie_table;
%load responsive cells per e... |
915be01e528f6decf077714caab1a38b34c89c36d41ba2a78efd03f955efe14c | MATLAB | 1,409 | 48 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function Figure2a_Dual_maximize_reward_20210201_test20220316
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Noise is determined by gaussian
%With different std and different decision boundary
bin = 0.001;
bin... |
cd946adfa418b50b9528d41e5d9158fa1701cfe699a57bb7604c1efc8c7ac74a | MATLAB | 1,409 | 50 | function curOTF = XxReadOTF3D(OTFPath, nx, ny, nz, dkx, dky, dkz)
addpath(genpath('../'));
[headerotf, rawOTF] = XxReadMRC(OTFPath);
nxotf = single(headerotf(1));
nyotf = single(headerotf(2));
nzotf = single(headerotf(3));
dkzotf = single(typecast(headerotf(11),'single'));
dkrotf = single(typecast(headerotf(12),'singl... |
94ea299555083fa1d697871a8ff6c69effce95e8bba2de2f8d4ce7431ab75f8f | MATLAB | 1,410 | 36 | function rr_intervals_ecg = em_interval_calc(ecg_rpeaks_index, thr_max, thr_fast_max,max_lag)
if nargin<2
thr_max = 0.5;
thr_fast_max = 0.4;
max_lag= 20;
elseif nargin<3
thr_fast_max = 0.4;
max_lag= 20;
end
if size(ecg_rpeaks_index,2)==1
rr_intervals_ecg = diff(ecg_rpeaks_index); %... |
9d2260007523c8edbc5582042a42fe0eaa3e4835957cb40a4dea14878332464c | MATLAB | 1,411 | 52 | %% plot all ramps
clear
clc
norm = 1;
%% add togethter meny WF files
cd('E:\2022\ramp_psth')
[filename 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.
datafile = fullfile(path, filename); %save path
%%
AR = []; %ALL R... |
a2022ab3bf04acdfd0688225e496c5ef9981d9a903a743dc7f7eaad7f8a3eced | MATLAB | 1,412 | 26 | function [test_indices train_indices ind]=cv_stratified_multilabel_DBP_speed(N,n_folds,bestmodel)
% N is the label matrix
% Stratifies by discretizing multiclass tracking data into one unique label
% after binning individual classes. The final discretized label makes up a
% combination of individual classes labels.... |
9cd887172f41871ae1aafb09ee88514fc81ae07ba27006b6bffbe863fefc217c | MATLAB | 1,413 | 47 | function adapt_lms_spec(app,event)
%ADAPT_LMS_SPEC Summary of this function goes here
% Detailed explanation goes here
xl = event.AffectedObject.XLim;
yl = [0 app.edt_amp.Value];
switch event.AffectedObject.Tag
case app.ax_spect_1_1.Tag
if ~isequal(app.ax_spect_2_1.XLim, xl)
app.ax_spect_2_1... |
ec408e1522e06308b4bec9214981ef741096b284c3e7cf2dc4b3d1ddfba80386 | MATLAB | 1,413 | 46 | function burst_criteriaset_diagnostics(Bursts)
% NarrowbandRanges = unique({Bursts.Band});
NarrowbandRanges = [];
CriteriaSets = unique([Bursts.CriteriaSetIndex]);
Signs = [-1, 1];
Total = zeros(1, numel(NarrowbandRanges)*numel(CriteriaSets)*numel(Signs));
TotalUnique = Total;
Labels = cell(size(Total));
Index = 1;
... |
f97b56523aa284166e7f1eb0a0c994aa8fac58b12e15b66cb598086824d6beaa | MATLAB | 1,413 | 43 |
clc;clear;
load 'gradient1-3 data'
load 'subjects information'
mod = [sex eTIV];
von_parc = load('vonEconomo index');
%%
%**********************************************step1 : Caculate Between Dispersion
for i=1:1790
for k=1:7
index = find(von_parc == k);
gradientCen1(i,k... |
0c658a0118fb448eb190e87eb71643bb95e81420fb0fe9892c1fd3c896bd6025 | MATLAB | 1,414 | 53 | function [valindSQI, indSQI] = SQI6(x, peaks)
%
% [valindSQI, indSQI] = SQI6(x, peaks)
% Channel selection based on measure of PICA periodicity
%
% Fahimeh Jamshidian Tehrani,
% jamshidian.t@cse.shirazu.ac.ir,
% fahimeh.jt@gmail.com
% February 2020
%
% input:
% x: input fetal ECG record
% peaks: R-peak impulse trai... |
126b9daa79f7355ab9ed337ac702a1728353ae6841e28d212e76c44d04617543 | MATLAB | 1,414 | 47 | function [R_max,R_min,C_max,C_min] = coordinate(R,C)
% [最右端，最左端，最上端，最下端] = coordinate(横坐标集合,纵坐标集合)
R_max = zeros(2,1);
R_min = zeros(2,1);
C_max = zeros(2,1);
C_min = zeros(2,1);
[R_max_R_value] = max(R);
[R_Right,~] = find (R == R_max_R_value);
if (rem(length(R_Right),2)) == 1
R_max_C_index = R_Right(fl... |
1314c5b31f45530b3c710474e39e901a8ca32b28f02fa2af4667f7d94a715b01 | MATLAB | 1,414 | 36 | function saveeph(savefilename,thedata,varargin)
% saveeph: saves data as a Cartool evoked potential data file (.ep(h/sd/se))
%
% inputs: full path and name of the file to save, data as a 2-D numeric
% array where dimension 1 contains the timeframes, dimension 2 contains the
% channels, (optional) samplingrate as 1-D nu... |
46a9c1b3b381b7ec5eff7d73512c2d6d4daf5e164e3ad41e6326c2c011e482a3 | MATLAB | 1,416 | 52 | %% Wavelet Anlysis for Calcium Imaging Signals
% Input
% xd: Signal
% wname: Wavelet Name
% level: Level of Analysis
% Output
% xdenoised: Denoised Signal
function sigden=waveletdenoise(xd,wname,level)
% level=1;
% wname='sym8';
[coefs,longs] = wavedec(xd,level,wname);
% siz = size... |
930e7677246c433028c7d327501f0d889af3a4e1b9a5f718cd00a37e4abf8583 | MATLAB | 1,417 | 69 | %%% Test the model
addpath('~/matconvnet/matlab');
addpath('../../../Utils')
addpath('../../../TestImages')
vl_setupnn
%Parameters
sigma_true=50;
sigma_min = 40;
sigma_max = 60;
showResult = 1;
useGPU = 1;
pauseTime = 0;
%Select which network to use
modelName = ['DnCNN_20Layer_sigma',num2... |
be6c5ee4eb98d3ac011f0972dc0f8b5ec891fa856e47666b6404ab9223891560 | MATLAB | 1,417 | 48 | function str = join(cellstr_input,varargin)
%toString
%
% str = sl.cellstr.join(cellstr_input,varargin)
%
% INPUTS
% =======================================================================
% cellstr : A cell array of strings to combine.
%
% OPTIONAL INPUTS
% ============================================... |
a1d57ea0ff98a510653945796429860468948901ebdca3d02ec33160cb628d4e | MATLAB | 1,418 | 36 | function parse_data_pl2(filename)
% Requires Matlab Offline SDK (Plexon Inc) in the Matlab searchpath
% Based in code written by Azriel Ghadooshahy, Jan 2016
%Gather relevant info
pl2 = PL2GetFileIndex(filename);
[unused, fname, ext] = fileparts(filename);
%List of possible different continuous sources
%query source... |
3d3d8f802d702f8176fe4614ba1e3440c94fa25afcae6b082a2acb6edc1435d5 | MATLAB | 1,419 | 40 | function generateProcessedModularData( trainFolder )
% trainFolder = 'trainRecord_anti_force/trainRecord_R_4_anti_force';
runDataPreparation;
%%% module structure of a and h?
% case 1: analysis cross multiple epochs
winSize = 50;
nWin = T/winSize;
AmatCellSlidingWin = timeSeries2ACell(a,winSize);
epochEa... |
bfe7578d408edc1b0349e34f0b2d091db62f4c16f1d1e55a34feca68b2229b08 | MATLAB | 1,419 | 50 | function [rr, arg] = nufft_r(om, N, J, K, alpha, beta, use_true_diric)
%function [rr, arg] = nufft_r(om, N, J, K, alpha, beta, use_true_diric)
%|
%| make NUFFT "r" vector
%|
%| in
%| om [M 1] digital frequency omega in radians
%| N signal length
%| J # of neighbors used per frequency location
%| K FFT size (should ... |
2afa9721de27f5b14d6cd8fc20fa441a2fb5f6f5346cb5eef0921bb572b77aa3 | MATLAB | 1,420 | 49 | function thr = autothreshold(exp_id,proj,zscore)
%% Filter noise from projection data
% Fits a Gaussian curve through the projection data and determine a cutoff
% point in terms of z-score. Default is -1.
%
% thr = autothreshold(exp_id,[proj],[zscore])
%
% Input:
% exp_id: experiment id (filename of mat file ... |
343b401c9ab0eb9b40db1621b18095f07e1998f03fd30c565017f2de28e7137e | MATLAB | 1,420 | 58 | % 1-d example of leslie greengard's gaussian kernel-based nufft,
% type 1.
R = 4; % oversampling ratio
Msp = 12; % spreading parameter - the number of neighbors to spread
% to in each direction
M = 512; % dimension of uniform grid on which we evaluate nufft
tau = 1/M/M*pi/R/(R-0.5)*Msp; % width of gridding k... |
4dbcf8511e808f8a7f6ff36d237bfcd79c8c9af16d93c0b7cfca24cb210e7306 | MATLAB | 1,420 | 40 | function [StageData] = session2stage(T, WhichStageUserInput)
%SESSION2STAGE Sorting sessions into stages.
% SESSION2STAGE(T,WHICHSATGEUSERINPUT)Identifying the
% WHICHSTAGGEUSERINPUT stages of the sessions of data T based on the
% ratio of tone type 1 and type 2, presense of punishment and freewater.
% P... |
8526c0dd2cbb008159e02220b8f51c743536c24defacc4837b761b302ef28a38 | MATLAB | 1,420 | 68 | %% 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_2DAA;
thisSub = 8;
for ses = 1:p.nSessions
fpath = fullfile(p.rootDir,'miniscope', ['subject' num2str(thisSub)],['sess... |
bfadcd409a1f7fee687f890269d95e2bc8f7d3fea2c460b8c577e2263f7d5a06 | MATLAB | 1,420 | 37 | % load coordinates of the nearons
coords = struct2cell(CTP.coordinates);
coords = cellfun(@(x) x{1},coords)';
std_devs = [40, 80, 40];
% Load your matrix of structure coordinates
annotation_volume_location = 'C:\Users\elyashivz\Documents\analyzing_slices\annotation_volume_10um_by_index.npy';
structure_coords = readNPY(... |
06ab047a7c677d91d36f49641d94ec5deda0e62a485ec0dc5eaca8987333be48 | MATLAB | 1,421 | 67 | %% B4
V_max = 130/3; % mV
V_min = 5; % mV
% capacitance of B4
Cm_B4 = 0.01; % uF
% leaky conductance of B4
gL_B4 = 0.1; % uS
RL_B4 = 0; % uS
% reversal potential of the leaky channel of B4
EL_B4 = -60; % mV
% sodium currents to B4
% maximal conductance of the sodium channel of B4
gNa_B4 = 25; % uS
RNa_B4 = 0; % uS
... |
ec820e269aefdd4a80d92c3cc1d7bccd03ce372646449f1b1e262271f95dd223 | MATLAB | 1,422 | 41 | function old_default = set_matlab_bgl_default(options)
% SET_MATLAB_BGL_DEFAULT Sets a default option for the Matlab BGL interface
%
% old_default = set_matlab_bgl_default(options)
% options.istrans: the input matrices are already transposed [{0} | 1]
% options.nocheck: skip the input checking [{0} | 1]
% options.full2... |
336b63eff84903850ad6782c381dfcfa086f77bbf398e7b8a95bae14ca0effea | MATLAB | 1,423 | 38 |
total_cells = zeros(1,3);
IR_cell = zeros(1,3);
responsive = zeros(1,3);
[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
for i = 1:length(datafile)
... |
d9c7857313c0a917aaef5a3e6ec749be9f7baa54d6ff897a7b7dde643e81a3fc | MATLAB | 1,424 | 36 | function [features1, features2, features3, spikeWindows] = computeFeatures(spikeWindows, hCfg, nSitesEvt)
%COMPUTEFEATURES Compute features for spikes
if nargin < 3
nSitesEvt = [];
end
[features2, features3] = deal(single([]));
spikeWindows = single(permute(spikeWindows, [1, 3, 2])); % nSa... |
46bf264ab1199d01f3820bc7f8d49613f1d074e70b11b1f8519e3c810fecc976 | MATLAB | 1,425 | 48 | classdef weightedAdditionLayer < nnet.layer.Layer
properties (Learnable)
% Layer learnable parameters.
% Scaling coefficients.
Weights
end
methods
function layer = weightedAdditionLayer(numInputs,name)
% layer = weightedAdditionLayer(numInputs,n... |
76fdd5b82c33c6c41f796443d7afab5f3ab3a52e58749711a1303bc5180f5c29 | MATLAB | 1,426 | 66 | %% 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;
sub = 5; % thisSub = 83
for ses = 1:p.nSessions
thisSub = p.subjects(sub);
fpath = fullfile(p.rootDir,'minisco... |
33f681accdff857a7e41befbc91e14644ed6047af4f8063c21e0a7c58a6d5eab | MATLAB | 1,427 | 47 | function varargout = histnorm(varargin)
% Function to compute normalized histogram.
% Input:
% varargin: Variable input arguments. Can contain data to be histogrammed
% Output:
% varargout: Variable output arguments. Contains the normalized histogram
% and bin edges.
% Note: If no output is... |
493e2ca72201b35f91bc47ef27139c9976038a9c8dd7d015ff446e484f4251d5 | MATLAB | 1,428 | 63 | %% 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
clear
p = params_2DAA;
sub = 6;
for ses = 1:p.nSessions
thisSub = p.subjects(sub);
fpath = fullfile(p.rootDir,'miniscope', ['... |
50c6335120b7aea78b0bbbe89fd136dcd04d0f96512fc9b0b0c861fec0906122 | MATLAB | 1,428 | 47 | function [nrgSig,MSD] = msd_calc_model(data,nMSD,rMSD,nTR)
% Inputs
% data = data organised at TIME x NODES
% dsmtx = onsets for different events - list of TRs associated with each event type
% nMSD = maximum MSD range
% nTR = number of TRs to track
%rMSD = range of msd
% Outputs
... |
636ce6451baf9700dbcb5efe4faf75e4399a64a6dcbb8e362cb91d5b129e7caa | MATLAB | 1,431 | 37 | function [outFiles] = convertMNI2FS(inFile,outFolder)
% inFile is a path to file you want to convert (must be in 2mm MNI space)
% outFolder is where you want to put the transformed output files (in fsaverage space)
%
% Written by Alex Teghipco
if ispc == 1
slash = '\';
else
slash = '/';
end
toolboxPath = which... |
796e41d9d4a02ed15155359d70e8b3c6c8976b73e52b2bb15a73e95834085831 | MATLAB | 1,431 | 47 | function y = HRSmoother2(x, FilterHR, wlen, varargin)
%
% HR = HRSmoother2(x, FilterHR, wlen, mode),
% Conditional heart rate smoothing
% replaces outliers defined by threshold FilterHR with the median value
% over window length wlen, or with NaN, depending on the selected mode.
%
% Open Source ECG Toolbox, vers... |
53281682ee69bd90be81fc9be959ad5d45cc116b411fd7652e4ee6a187efc43d | MATLAB | 1,434 | 33 | % Get Adjacency Matrix from Activity Matrix Normalized by Time (Raster)
% Fire together Wire together
% Assuming having more frames than cells ALWAYS!
% Input
% R: Raster dim: Cells (in CLSUTER ANALYSIS) x Frames
% Output
% A: Adjacency Matrix dim: Cells x Cells where:
% a_ij: percentage of time that ... |
f3f3bbfdc19a20c52cbf47da8d88f64e3df2bbc8587888f5824e6c4be35d707d | MATLAB | 1,434 | 43 |
function h = scatter_kde(x, y, varargin)
% Scatter plot where each point is colored by the spatial density of nearby
% points. The function use the kernel smoothing function to compute the
% probability density estimate (PDE) for each point. It uses the PDE has
% color for each point.
%
% Input
% x <Nx1 double> po... |
1adfc72eff58d184586254361f14dd9c16fb63ddec19ad5bd5b3f7a76fc816f9 | MATLAB | 1,435 | 53 | % this script gets run by cluster_submitGRErecon.sh
%
% variable 'rawDataFile' should have been set
if ~exist(rawDataFile,'file')
disp(['File ' rawDataFile ' not found, trying locally instead.'])
rawDataFile = fullfile(script_pwd,rawDataFile);
if ~exist(rawDataFile,'file')
disp(['Error: file ' rawD... |
3613c6aeccb691d7a0690be1759453354ee5ef01c1c0a6c85b66b1fd3d0f7891 | MATLAB | 1,436 | 43 | function [XData, YData] = ampToProj(YData, XData, bounds, maxPair, hCfg)
%AMPTOPROJ Reshape feature data from nSpikes x nSites to display in an
%nSites x nSites grid
% input: YData, nSites x nSpikes, y-values for feature projection
% input: XData, nSites x nSpikes, x-values for feature projection
... |
a2ac7940dfcbcacdeefe7dc5098ef103b605bc95d2b93517721b51214e20e379 | MATLAB | 1,436 | 51 | function burst_res = batch_bursts(data,ts_fs,varargin)
app = struct();
app.edt_window.Value = 0.18;
app.chkbx_detrent_rms.Value = false;
app.edt_threshold.Value = 0.11;
app.edt_threshold_abs.Value = 0.11;
app.chkbx_manual.Value = false;
app.chkbx_th_on_silent.Value = false;
app.edt_outlier_threshold.Value = 100;
while ... |
62233dc939559fae0a5ec226ea18b78f58934e2d1d05be91f4e68ef9f2c48df8 | MATLAB | 1,437 | 51 | function nRemoved = rmRefracSpikes(obj, iCluster)
%RMREFRACSPIKES remove refractory spikes
if obj.nEdits > obj.editPos % not at tip of edit history, back out
warning('cannot branch from history; use revert() first');
return;
end
if nargin == 1 % recurse for each cluster
nRemoved... |
d908271d4a4efef667e9630d47dee742b3da97a716118a313341308d8c962ea0 | MATLAB | 1,438 | 54 | function Statics
cd('C:\Users\C238\Desktop\touchcellLtRt_Hirokane');
LtPositiveFR=load('RtLtFirngRate_AllCell.mat','LtPositiveFiringRateArray');
LtNegativeFR=load('RtLtFirngRate_AllCell.mat','LtNegativeFiringRateArray');
RtPositiveFR=load('RtLtFirngRate_AllCell.mat','RtPositiveFiringRateArray');
RtNegativeFR=l... |
c1888efa9d8b64fbd2449101cfd7759d2f6f1eceb87f1384b2871da9f817615b | MATLAB | 1,440 | 56 | function x = polar2cart(s)
%POLAR2CART Convert spherical polar to Cartesian coordinates
%
%Syntax
% x = polar2cart(s);
%
%Description
% X = POLAR2CART(S) sets X to be the Cartesian coordinates of the points
% represented by the spherical polar coordinates S.
%
% S is assumed to be an array of size (dim by N) representi... |
ca7e770d627e34c4591c91c2dd255b87b074486185af2d41a40dbd2985358b5a | MATLAB | 1,440 | 65 | clearvars -except mouseData final; close all; clc
%% user variables
uv.dT = .100;
uv.behav{1} = 'groomingStart';
uv.preWin = [-5 0];
uv.postWin = [-1 5];
uv.timeAxis = [-10:uv.dT:10-uv.dT];
%% load data in
% cd('C:\Users\1\Desktop\Data sets for Jesse')
% load('unmatchedFinalAndFinalData','final');
%%
d... |
adb05d38056fbf92dbb152c3373d6de685a79175e6bf29526aade27fc1a7fbdd | MATLAB | 1,441 | 51 | function [s,peaksm,peaksf] = PiCA3(dat,refm,refframem,thm,wlen1m,wlen2m,reff,refframef,thf,wlen1f,wlen2f,Itr)
% % % t0 = 90; % reference frame center
% % % w = 5; % reference frame half width
% % % wlen1 = 10; % exclusion averaging frame half width (should be more than the fetal expected effective width)... |
e550573018d435693092021d4118f23de94b1ef99bf7f80b4b8d0897a62e7b01 | MATLAB | 1,441 | 51 | function check_matlab_bgl(A,options)
% CHECK_MATLAB_BGL Checks the input A for various properties
%
% check_matlab_bgl(A,options) throws an input error if...
% A is not square
% if options.values and A is not double valued
% if options.sym = 1 and A is not symmetric
% if options.flow_graph = 1 and A is not a fl... |
d6ebb5c2e589aee5b4a9e31b28a5f3cd9728205a4e896cbb51a277e1e7fd4718 | MATLAB | 1,442 | 56 | function wincov = rst_wincov(Data,Percent)
% Computes the winsorized covariance between the columns of the matrix Data
%
% FORMAT wincov = rst_wincov(Data,Percent)
%
% INPUT Data is a vector
% Percent is the anount of trimming (default is 20%)
%
% OUTPUT wincov is the winsorized covariance matrix (ie the covaria... |
68510f4cc7bce60235e96d413f86d7529be414ce43c2a483b9a10013f6266fa3 | MATLAB | 1,447 | 38 | %% compare number of responsive cells per exp in 2 data sets
clear
clc
%load responsive cells per exp (output of calculate IR responsive from data
%set 1 (PFC)
[PFC_file, path] = uigetfile('PFC_responsive cells per exp.mat');
cd(path)
X1 = load(PFC_file);
X1 = X1.responsvie_and_ie_table;
%load responsive ... |
076291074dfcfa847a4bc766720b5ac6d913f44df9b7c2a9856fd4a981e259de | MATLAB | 1,448 | 49 | %% Function to plot boxplots
% INPUT
% RASTER_NAMES
% RASTER_FEATURES
% Names_Conditions
% f
% axis
function plot_box(RASTER_NAMES,RASTER_FEATURES,Names_Conditions,f,axis,varargin)
if isempty(varargin)
%plot line
plotlines=true;
else
plotlines=false;
end
NC=numel(Names_Condition... |
f3cf6a28ab95abf4507bf68523cee556723509f2910f628e6576e14e61671d33 | MATLAB | 1,449 | 62 | %% Function to plot raster
% Input
% R: Raster Matrix Cells x Frames
% fs= sampling frequency
% Output
% Figure of the raster in MINUTES
% Always creates a new figure
function Plot_Raster_V(R,varargin)
if isempty(varargin)
fs=1/60; % frames
else
fs=varargin{1};
end
figure
ax1=subplot(3,1,[... |
fe1b4f9987f1693b0496181f902549e465e4decead154ee41300a3f90904ca0b | MATLAB | 1,449 | 61 | function savesef(savefilename,thedata,samplingrate)
% savesef: saves data as a Cartool simple EEG data file (.sef)
%
% inputs: full path and name of the file to save, data as a 2-D numeric
% array where dimension 1 contains the timeframes, dimension 2 contains the
% channels, samplingrate as 1-D numeric array
%
% outpu... |
c7c68202565acc919b3963f7accc36710421119f7fbdd73a90baecda1a3774bb | MATLAB | 1,450 | 37 | % This program is to contrast between session 3 and session4.
%
%
%
% by Hiro Taiyo Hamada, Araya Inc.
clear all; close all;
% extract time series from session 3
visualizeAllTimeSeriesSession3rd
% extract time series from session 4
visualizeAllTimeSeriesSession4th
%%% statistical tests on differences
%% Means of %B... |
e2991680c932ae3010363b6b4b9a63944c7814beeb87cf96b8853e96d0d333d2 | MATLAB | 1,450 | 52 | function epochs = DB_epoch_detection(data, threshold, sign)
% Detects epochs in data based on given threshold and sign
% Input:
% data - Input data
% threshold - Threshold value for epoch detection
% sign - Sign flag (true for positive threshold, false for negative threshold)
% Output:... |
30adbb20c91c7917a0758938077d8408bd28b5a11f42d917dbe113142615fe3c | MATLAB | 1,452 | 39 | function [INDEXES] = getINDEXES(t, tevents, window4mean)
INDEXES = struct();
INDEXES.t_events = tevents;
INDEXES.dt_instantaneous = diff(tevents);
INDEXES.rate_instantaneous = 60./diff(tevents);
if length(tevents) > 1
%INTERVALLO
INDEXES.t = t(t > tevents(2));
wi... |
35acbc3a30cf5a7e891c9d7446fd35caebf52f36800ad9fecdd1a7b41a630cf5 | MATLAB | 1,452 | 49 | close all;
clear all; clc;
load diff
load diff2
load med_arr
load med_arr2
load med_for_e
load med_for_e2
%% Histogram for ISI (Fig 3C)
bin_edges = 0:0.001:0.2;
figure
histogram((diff/15000),bin_edges,'Normalization','probability','facecolor','#1b7837','edgecolor','none')
hold on;
histogram((diff2/1500... |
583835eadc82eb338fa7f8f38a795120b3929975038fec16187eef600b9cd8fd | MATLAB | 1,452 | 42 | function [map, cm] = supp_fig7_whiskermap(folder, save)
%% Supplemental Figure 8: Connectivity in whisker sensorimotor system
% Subplots/information:
% - Connectivity matrix of sensorimotor map
% - (not in Matlab) network cartoon figure
%% Load and match data
if nargin == 0
folder = 'All';
end
load('whisker_nodes... |
a0b0ee6daf9b13c68067f2e75e5e76f8c1092c8d2f88eb041b947d362a1cf5cf | MATLAB | 1,452 | 50 | % 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 Neuroscience,... |
5108142ab126fa7a4e4183233fb8b3b87e8e6cfab01b823bf58c451dbcaae488 | MATLAB | 1,453 | 53 | %% Generale REAL Poisson processes for each cell;
% Input: N: Number of Neurons
% lambda: Rates of Poisson; Can be N*1 vec or 1 number
% T: Total time (Unit: ms)
% Normal: boolean: normalization or not
% Output: eventsN: N*X Mat containing the series time for each neuron.
% EventTimeMat: N... |
329288a0e869845f50da2280e4dd105b45ac881219c4b062d3ef86b9d0b2dad2 | MATLAB | 1,454 | 67 | function response_check
global CCresultDrinkOn MaxZ CCresultLtouchWon MaxZL MaxDrinkZL AmpLt CCresultRtouchWon MaxZR MaxDrinkZR AmpRt fname TrimStr dpath...
CCresultRtouchWon2 CCresultLtouchWon2
CCRt = CCresultRtouchWon(251:750);
CCLt = CCresultLtouchWon(251:750);
CCRt2 = CCresultRtouchWon2(251:750);
CC... |
85d34ddf06bf7487acd3e4910a1e682bdb205dbb5e5950202d3c01c82abc7e3d | MATLAB | 1,455 | 58 | clear
[file, path] = uigetfile('*.mat');%When the user clicks the load data button, a window should open to enable the user to select a file.
datafile = fullfile(path, file); %save path
load(datafile)
close all
cd(path)
clc
%%
f1 = figure;
set(f1,'color', [1 1 1]);
dark_colors = {[0.3010 0.7450 0.9330] [0.4940 0.1840 ... |
d7a30af25aa8a38e508ebf24aa8c6fbc0afdba4f400ccb5e68ebba8d9a127021 | MATLAB | 1,456 | 68 | function plot_multichannel_data(data, L, varargin)
% plot_multichannel_data - Plot multichannel signals in several panels and figures.
%
% Usage:
% plot_multichannel_data(data, L, color, fs, title)
%
% Inputs:
% data: The input data matrix
% L: Number of panels per figure
% color: The color of the plots: 'b', '... |
19331d400d4197dab48ac9d922f98ff456af4a7850f0c97aa1d48a1b6b0938fd | MATLAB | 1,457 | 57 | clear all
close all
clc
project_dir = './Children/';
for sub_i = 1:27
sub = sprintf('%3d',sub_i);sub(sub == ' ') = '0'
ses_i = 1;
ses = sprintf('%3d',ses_i);ses(ses == ' ') = '0'
tic
index_pinky_Tstat_func(sub,ses,project_dir)
toc
end
%
for sub_i = ... |
2d340604f0eb533507201cf01b90c4a12ca2ebc94d9f5183ce4779c5f2b7daf7 | MATLAB | 1,457 | 70 | addpath(genpath(pwd))
clear
close all
clc
mydir = pwd;
idcs = strfind(mydir,filesep);
% second parent folder contains the datasets
dataset_dir = [mydir(1:idcs(end-1)-1),'/DataSets'];
results_dir = [mydir(1:idcs(end-1)-1),'/Results/',mydir(idcs(end-1)+1:end)];
results_dir = pwd;
addpath([mydir(1:idcs(end-1)-1),'/chmm-... |
526f39981a91db91c7f943dee2d3473b34421f6311ca39ebfcd01c1b28135098 | MATLAB | 1,457 | 62 | function [gfp,p,AllP] = GAnTop(data,n_iter,flags)
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
[ns,ne] = size(data);
quiet = 0;
nrm = 0;
if nargin > 2
if ~isempty(findstr(flags,'q'))
quiet = 1;
end
if ~isempty(findstr(flags,'n'))
... |
53156ad97fdb196bac587f778679b5ac2c7cb3630535d1016ebb6c6e8f1d9e54 | MATLAB | 1,457 | 47 | function rmOutlierSpikes(obj)
%RMOUTLIERSPIKES Mahalanobis-distance based outlier removal
if obj.nEdits > obj.editPos % not at tip of edit history, back out
warning('cannot branch from history; use revert() first');
return;
end
if obj.hCfg.outlierThresh == 0
return;
end
... |
eca28d601fbcb9311dc2871793e8ff7846c7c03112e94e2ccf977f1219eaa6fb | MATLAB | 1,457 | 57 | function ph = psth(times, binsize, fs, ntrials, triallen, varargin)
% PSTH Computes the peri-stimulus time histogram from spike times.
% The routine plots the trial averaged spike rate as a function of time.
% H = PSTH(TIMES, BINSIZE, FS,NTRIALS,TRIALLEN)
% H = PSTH(TIMES, BINSIZE, FS,NTRIALS,TRIALLEN ,AXESHANDLE)
% T... |
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