From: Yaroslav Halchenko <debian@onerussian.com>
Date: Mon, 29 Nov 2010 19:12:30 +0000 (-0500)
Subject: adding pcsim blends file and copy/paste moose for auto-injection
X-Git-Url: https://git.donarmstrong.com/?a=commitdiff_plain;h=8e2a49d36cfc1768404259a0bb9a1c1322755a75;p=neurodebian.git

adding pcsim blends file and copy/paste moose for auto-injection
---

diff --git a/future/blends/moose b/future/blends/moose
new file mode 100644
index 0000000..07a080c
--- /dev/null
+++ b/future/blends/moose
@@ -0,0 +1,15 @@
+Source: moose
+Tasks: debian-science/neuroscience-modeling
+Homepage: http://moose.sourceforge.net
+Language: C++, Python
+License: LGPL
+Pkg-Description: multiscale simulation environment for neuroscience
+ MOOSE is the Multiscale Object-Oriented Simulation Environment. It is the base
+ and numerical core for large, detailed simulations including Computational
+ Neuroscience and Systems Biology.
+ MOOSE spans the range from single molecules to sub-cellular networks, from
+ single cells to neuronal networks, and to still larger systems. It is
+ backwards-compatible with GENESIS, and forward compatible with Python and
+ XML-based model definition standards like SBML and MorphML.
+ MOOSE is coordinating with the GENESIS-3 project towards the goals of
+ developing educational resources for modeling.
diff --git a/future/blends/pcsim b/future/blends/pcsim
new file mode 100644
index 0000000..a108aae
--- /dev/null
+++ b/future/blends/pcsim
@@ -0,0 +1,22 @@
+Source: pcsim
+Tasks: debian-science/neuroscience-modeling
+Homepage: http://www.lsm.tugraz.at/pcsim/
+License: GPL-3+
+Author: Thomas Natschläger
+Language: C, Python
+Version: 0.5.4
+Pkg-Description: simulator of heterogeneous networks of neurons and synapses
+ PCSIM is a tool for simulating heterogeneous networks composed of
+ different model neurons and synapses. This simulator is written in
+ C++ with a primary interface to the programming language Python. It
+ is intended to simulate networks containing up to millions of neurons
+ and on the order of billions of synapses. This is achieved by
+ distributing the network over different nodes of a computing cluster
+ by using MPI.
+WNPP: 605414
+Published-Title: PCSIM: a parallel simulation environment for neural circuits fully integrated with Python
+Published-Authors: Pecevski D, Natschläger T and Schuch K
+Published-In: Front. Neuroinform. 3:11
+Published-Year: 2009
+Published-DOI: 10.3389/neuro.11.011.2009
+Remark: last release is more than 1 year ago, but there is development in newbuild branch