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update README, COPYING; release 0.4.4

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1 parent 5aa8c64 commit 24d2b5470a7895c9f466af7d2c0fb1cf3ea4c48e @hmmr committed Jan 2, 2012
Showing with 47 additions and 45 deletions.
  1. +2 −2 COPYING
  2. +5 −0 ChangeLog
  3. +2 −2 configure.in
  4. +6 −0 debian/changelog
  5. +2 −2 debian/copyright
  6. +30 −36 doc/README
  7. +0 −3 src/ui/modelrun-facility.cc
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@@ -1,2 +1,2 @@
-Aghermann is distributed under the terms of the GNU Public License
-version 2.
+Aghermann is distributed under the terms of the GNU Public License,
+version 2 or later.
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@@ -1,3 +1,8 @@
+v. 0.4.4 (2012-01-03)
+ * Fix multiple AZAmendment1-related issues in modelrun facility.
+ * 'ClearAll' button on Simulations tab (for lack of better
+ handling of obtained modruns).
+ * Prettier text widgets in modelrun facility; a more informative log.
v. 0.4.3.5 (2011-12-30)
* debian/copyright: add attribution for src/libexstrom/exstrom.hh.
v. 0.4.3.4 (2011-12-30)
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@@ -1,6 +1,6 @@
-AC_COPYRIGHT([Copyright (c) 2008-11 Andrei Zavada <johnhommer@gmail.com>])
+AC_COPYRIGHT([Copyright (c) 2008-12 Andrei Zavada <johnhommer@gmail.com>])
-AC_INIT([Aghermann], [0.4.3.5], [johnhommer@gmail.com])
+AC_INIT([Aghermann], [0.4.4], [johnhommer@gmail.com])
AC_CONFIG_SRCDIR([src/main.cc])
AC_CONFIG_MACRO_DIR([m4])
AC_PREREQ(2.61)
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@@ -1,3 +1,9 @@
+aghermann (0.4.4-1) UNRELEASED; urgency=low
+
+ * Version bump.
+
+ -- Andrei Zavada <johnhommer@gmail.com> Tue, 03 Jan 2012 01:16:00 +0200
+
aghermann (0.4.3.5-1) UNRELEASED; urgency=low
* Version bump.
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@@ -4,12 +4,12 @@ Upstream-Contact: Andrei Zavada <johnhommer@gmail.com>
Source: http://johnhommer.com/academic/code/aghermann/source
Files: *
-Copyright: 2008-2011 Andrei Zavada
+Copyright: 2008-2012 Andrei Zavada
License: GPL-2+
Files: src/libexstrom/exstrom.hh
Copyright: 2007 Exstrom Laboratories LLC
-Copyright: 2010, 2011 Andrei Zavada
+Copyright: 2010-2 Andrei Zavada
License: GPL-2+
This program is free software; you can redistribute it
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@@ -22,10 +22,7 @@ Various other useful features are:
resulting spectral power profile. Power course profiles can be
obtained for an arbitrary frequency range.
-* 'Unfazer', a means to alleviate artifacts occurring in one channel
- impacting another, such as, EOG blinks picked up by an EEG electrode
- (implemented as simple subtraction of EOG signal from the affected
- EEG signal, times an adjustable factor).
+* Independent Component Analysis.
* Butterworth Low-pass, high-pass and band-pass filters.
@@ -109,6 +106,9 @@ USAGE NOTES
experiment selector and point it to the newly created experiment
tree root directory.
+ Alternatively, you can drag-and-drop edf files and assign them
+ individually to groups/sessions.
+
2. Additoinal notes on Signal Type and Label fields in EDF headers
o Also make sure the `Label' field is (without quotes) either of
@@ -163,13 +163,6 @@ USAGE NOTES
or at once. The filtered signal is produced by applying the
following, in order:
- o The 'Unfazer', used when you see eyeblinks in an EEG channel
- (hover mouse over the 'Hint' area at lower-left for controls).
- Use sparingly as there's no (known to me) way selectively to
- exclude phasic events which, actually originating in EEG, and
- then appearing in EOG, contribute to dampen the magnitude of the
- original event.
-
o Manually selected artifacts (mouse leftclick+drag+release over a
length of bad signal on the displayed page). These
artifact-marked portions of the signal will have the signal
@@ -178,6 +171,17 @@ USAGE NOTES
o Display filters.
+ You can also try to isolate/distill EEG signals with ICA; for
+ explanation of the many options to control ICA process, please
+ refer to the authors of the original software (there are handy
+ links right next to the Separate button).
+
+ There are two modes of reconstructing channels with ICA:
+
+ o 'Map' individual components to channels, possibly preserving others;
+
+ o 'Punch' out some ICs and remix.
+
5. EEG score import/export
@@ -222,40 +226,30 @@ USAGE NOTES
Then, double-click on a row in the Overview tab. If all
constituent episodes have been sufficiently scored, the model run
- facility will be displayed, showing the profile without the
- simulated SWA nor S at the outset.
+ facility will be displayed, showing the profile with the simulated
+ SWA and S obtained for default tunable values (which you set on the
+ Parameters->Tunables tab).
+
+ Click on an episode to display that episode alone. Take a snapshot
+ and save (as a png image) the current view by doing Alt+leftclick.
The unscored pages and those scored as MVT will be patched up per
settings on the Controlling Parameters tab (i.e., they can be
assigned a Wake score or the score of the previous page).
- Either click Stride or Run, to do a single stride (400 cycles by
- default), or as many as it will take for all the required
- parameters to stabilise.
-
- Upon completion, the simulation is saved along with all the
- intermediate steps (but not the log).
-
-
-8. Reviewing the obtained courses of Process S and SWA
-
- After a series of strides have completed, you can step back/forward
- through the stride history, to review the optimisation path the
- routine has followed. At any such checkpoint, you can modify the
- parameter values and resume the model run (to see how nicely and
- unavoidably it converges, for example).
+ Click Run to find the minimal cost function (sum of squred
+ distances between original and simulated SWA) using simulated
+ annealing (set/review controlling parameters on
+ Parameters->Simulated Annealing tab).
One especially useful and nifty feature is the live updating of the
course of Process S in response to your modifying the parameter
- values.
-
- Click on an episode to display that episode alone. Take a snapshot
- and save (as a png image) the current view by doing Alt+leftclick.
-
-
-9. Exporting simulation results
+ values. Enabling Live update before starting the annealing will
+ show the process of optimisation, but this will be slow.
- Finally, export the simulation results into a tab-separated values sheet.
+ You can review the courses of S and either copy-paste the resulting
+ tunable values for your stats, or return to the main window and
+ click Export to save all obtained simulations to a tsv file.
Should you find Aghermann useful (in its scoring capacity only, or
@@ -343,13 +343,10 @@ aghui::SModelrunFacility::draw_ticks( cairo_t *cr,
void
aghui::SModelrunFacility::update_infobar()
{
- printf( "cur_tset.size() = %zu\n", csimulation.cur_tset.size());
_suppress_Vx_value_changed = true;
for ( auto &e : eMFVx )
if ( gtk_widget_get_sensitive( (GtkWidget*)e.first) ) {
auto t = min((size_t)e.second, (size_t)agh::TTunable::gc);
- printf( "%d \t%s \t%d \t%g (x %g)\n", (int)e.second, agh::STunableSet::tunable_name(e.second).c_str(), t, csimulation.cur_tset[e.second]
- * agh::STunableSet::stock[t].display_scale_factor, agh::STunableSet::stock[t].display_scale_factor);
gtk_spin_button_set_value(
e.first,
csimulation.cur_tset[e.second]

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