From 8e2a49d36cfc1768404259a0bb9a1c1322755a75 Mon Sep 17 00:00:00 2001 From: Yaroslav Halchenko Date: Mon, 29 Nov 2010 14:12:30 -0500 Subject: [PATCH] adding pcsim blends file and copy/paste moose for auto-injection --- future/blends/moose | 15 +++++++++++++++ future/blends/pcsim | 22 ++++++++++++++++++++++ 2 files changed, 37 insertions(+) create mode 100644 future/blends/moose create mode 100644 future/blends/pcsim 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 -- 2.39.5