Changeset 124 for doc

Timestamp:

07/05/07 16:27:08 (5 years ago)

Author:

apdavison

Message:

This version printed out in A0 format for CNS

Files:

• doc/CNS2007/poster_cns2007.py (modified) (4 diffs)

doc/CNS2007/poster_cns2007.py

@@ -476 +476 @@
            ("Where can I download PyNN?", "http://neuralensemble.org/PyNN"),
            ("What other solutions are there for developing simulator-independent models?", "<b>NeuroML</b> (http://neuroml.org) is a standard for model specification in XML. <b>NeuroConstruct</b> (http://neuroconstruct.org) is a tool for developing network models, using a graphical interface, that can then be exported as either NEURON or GENESIS code. There is also some overlap with <b>Neurospaces</b> (http://www.neurospaces.org/), a framework for modular construction of computational neuroscience simulators."),
-           ("What are your future plans for PyNN?", "We are currently working on: (i) support for NEST version 2, which adds support for distributed (parallel) simulations (distributed simulations in NEURON and PCSIM are already supported); (ii) support for import/export of network models specified in NeuroML; (iii) various improvements/extensions to the API, (iv) general performance improvements."),
+           ("What are your future plans for PyNN?", "We are currently working on: (i) support for NEST version 2, which adds support for distributed (parallel) simulations (distributed simulations in NEURON and PCSIM are already supported); (ii) support for the VLSI analog spiking network hardware being developed within the FACETS project (iii) support for import/export of network models specified in NeuroML; (iv) various improvements/extensions to the API, (v) general performance improvements."),
            ("Why shouldn't I use PyNN?", "(i) If your work does not involve network modelling; (ii) if you prefer to use a graphical interface to develop your simulations."),
            ("Who is using PyNN now?", "PyNN was first developed within the FACETS project, an EC-funded consortium of fifteen or so European research groups including seven groups doing computational neuroscience, using six simulators between them. In the absence of agreement that everyone should use the same simulator, a tool to make it easier to share models between groups was needed, and PyNN was born. Within FACETS, PyNN is being used for simulations of large-scale models of primary visual cortex and of generic cortical circuits with synaptic plasticity. We would like to encourage wider use, and anyone interested in using or developing PyNN should check out http://neuralensemble.org.")
@@ -486 +486 @@
         'VAbenchmark_CUBA_exc.png': """<b>Results of running the CUBA benchmark script</b> (see Box: 'Example'), written in PyNN, with three different simulators (from left to right: NEURON, NEST, PCSIM).
         
-        The <b><i>top row</i></b> shows the membrane potential traces for two of the excitatory neurons in the network.
-        The <b><i>second row</i></b> shows the raster plots for the first 320 excitatory neurons in the network (total network size 3200 excitatory and 800 inhibitory neurons). Each dot represents one spike. Each row is a different cell.
-        The <b><i>third row</i></b> shows histograms of interspike intervals (ISIs) for the excitatory and inhibitory sub-populations.
-        The <b><i>bottom row</i></b> shows histograms of the coefficient of variation (CV) of the ISI.
+        The <b><i>top row</i></b> shows the <b><i>membrane potential traces</i></b> for two of the excitatory neurons in the network.
+        The <b><i>second row</i></b> shows the <b><i>raster plots</i></b> for the first 320 excitatory neurons in the network (total network size 3200 excitatory and 800 inhibitory neurons). Each dot represents one spike. Each row is a different cell.
+        The <b><i>third row</i></b> shows histograms of <b><i>interspike intervals</i></b> (ISIs) for the excitatory and inhibitory sub-populations.
+        The <b><i>bottom row</i></b> shows histograms of the <b><i>coefficient of variation (CV) of the ISI</i></b>.
         
         For NEST and NEURON, the same sequence of random numbers was used to generate the network connectivity (using a PyNN <font face="Courier">NumpyRNG</font> object. For PCSIM, the random numbers were generated within the simulator (represented in PyNN with a <font face="Courier">NativeRNG</font> object).
         
-        Even when using exactly the same connectivity pattern, the membrane potential trajectories diverge after about the first 100 ms, although the pattern of mean activity across the network is well preserved between simulators.
+        <b>Even when using exactly the same connectivity pattern, the membrane potential trajectories diverge<b> after about the first 100 ms, although the <b>pattern of mean activity</b> across the network is <b>well preserved</b> between simulators.
         
-        With a different random connectivity (but with the same connection probability), there is no similarity in detailed activity patterns, but the statistical behaviour of the network in terms of spike train variability is the same."""
+        With a different random connectivity (but with the same connection probability), there is no similarity in detailed activity patterns, but the <b>statistical behaviour of the network</b> in terms of spike train variability <b>is the same</b>."""
     }
         
@@ -521 +521 @@
     
     poster.setFillColor(colors.white)
-    #poster.setStrokeColor(colors.white)
+    poster.setStrokeColor(colors.white)
  
-    paint_background('white') #'seagreen' 'whitesmoke' 'oldlace
-    
-    #paint_background('flickr_fortinbras_10182754_cfc533d350.jpg', photo_credit="Background image: 'Pine bough', from http://www.flickr.com/photos/fortinbras")
+    #paint_background('white') #'seagreen' 'whitesmoke' 'oldlace
+    
+    paint_background('flickr_fortinbras_10182754_cfc533d350.jpg', photo_credit="Background image: 'Pine bough', from http://www.flickr.com/photos/fortinbras")
     
     #paint_background('flickr_blmurch_144285136_a7116060ed_o.jpg', photo_credit="Background image: 'Pine cones' by Beatrice Murch (http://www.flickr.com/people/blmurch/)")
@@ -553 +553 @@
     make_deflist_frame(getStyleSheet(36, 72),QA, margins['left'], title_bottom, x_ex-margins['left']-colsep, colheight, DEBUG)
 
-    poster.setFillColor(colors.black) # white works better with a background image
+    #poster.setFillColor(colors.black) # white works better with a background image
     poster.setFont("Helvetica", 24)   # bold works better with a background image
     poster.drawCentredString(margins['left']+pagewidth/2.0, 0.2*margins['bottom'], ACKNOWLEDGEMENTS)