mybrainextension.blogspot.com
My brain extension: November 2010
http://mybrainextension.blogspot.com/2010_11_01_archive.html
The public notebook of a computational neuroscientist. Donnerstag, 25. November 2010. Towards fast scientific python. Seems to come of age in its role as an universal language for scientific computing. It already has a good standing in the computational neuroscience community. The Neural Ensemble project. Gathers some initiatives that use Python as the primary language for neuronal simulation and data analysis. Large simulator projects like Nest. Which is one of my current favorite papers. A compiler for...
alex.seeholzer.de
Compiling NEST on OSX 10.8 | Alex Seeholzer
http://alex.seeholzer.de/2012/12/compiling-nest-on-osx-10-8
3891 ecnis ti gnippilf. Compiling NEST on OSX 10.8. Compiling NEST on OSX 10.8. December 13, 2012. Middot; by Alex. Middot; in NEST. Trying to install NEST. On a OSX 10.8 machine and getting a. Sed: RE error: illegal byte sequence. It seems OSX Lion has some issues with stricter regex parsing, which causes this error. A workaround suggested here. Worked for me: unsetting your LANG variable before calling. Seems to be working. In unix terms this means: execute this before. Leave a Reply Cancel reply.
mybrainextension.blogspot.com
My brain extension: Juli 2011
http://mybrainextension.blogspot.com/2011_07_01_archive.html
The public notebook of a computational neuroscientist. Donnerstag, 7. Juli 2011. Happy Matlab licensing trouble - yay! Anyway, Matlab is a dying species in our lab since most of us are using Python for scientific computing, except for a few legacy scripts. But every now and then, I need to run one of those legacy scripts. No more machine transfers available for this license.". Links zu diesem Post. Tools for efficient scientific computing. Freitag, 1. Juli 2011. Some people wondered and asked me why I wo...
organic.elis.ugent.be
Software |
http://organic.elis.ugent.be/software
Skip to Main Content. For getting your toolbox here, contact Herbert Jaeger or Benjamin Schrauwen. ESNJava1.0.4: Java Echo State Networks from the Cognitive Modeling group (Univ. Tübingen). A Java implementation of Echo State Networks. With a comfortable GUI, advanced features for experimentation and visualization, and a detailed documentation, contributed by the Cognitive Modeling group. Martin V. Butz) from the University of Tuebingen. Posted on Fri, 30/04/2010 - 11:29 by jaeger. And a very simple.
connectomics.chalearn.org
Help - ChaLearn Connectomics Challenges
http://connectomics.chalearn.org/help
Setting, Prizes, Schedule. Tasks of the challenge. Tutorial, Sample code. Setting, Prizes, Schedule. What is the goal of the challenge? The goal is to reconstruct the structure of a neural network from temporal patterns of activities of neurons. The activities are obtained from video recording of calcium fluorescence imaging. [ Learn more. Are there prizes and travel grant? We will attribute 3000 USD in prizes to the winners donated by ChaLearn:. 500 USD and 1000 USD travel award (*) Award certificate.
nest-simulator.org
Frequently Asked Questions | NEST Simulator
http://www.nest-simulator.org/frequently_asked_questions
Part 1: Neurons and simple neural networks. Part 2: Populations of neurons. Part 3: Connecting networks with synapses. Part 4: Topologically structured networks. If I compile NEST with MPI support, I get errors about. This is a known issue in some MPI implementations. A solution is to add - with-debug="-DMPICH IGNORE CXX SEEK" to the configure command line. More details about this problem can be found here. In the source directory followed by. If you don't have the autotools, appending. You probably comp...
nest-simulator.org
Random balanced network (alpha synapses) connected with NumPy | NEST Simulator
http://www.nest-simulator.org/py_sample/random-balanced-network-alpha-synapses-connected-with-numpy
Part 1: Neurons and simple neural networks. Part 2: Populations of neurons. Part 3: Connecting networks with synapses. Part 4: Topologically structured networks. Random balanced network (alpha synapses) connected with NumPy. Importing all necessary modules for simulation, analysis and plotting. From scipy.optimize import fsolve import nest import nest.raster plot import numpy from numpy import exp import time. Assigning the current time to a variable in order to determine the build time of the network.
nest-simulator.org
tsodyks facilitating example | NEST Simulator
http://www.nest-simulator.org/py_sample/tsodyks-facilitating-example
Part 1: Neurons and simple neural networks. Part 2: Populations of neurons. Part 3: Connecting networks with synapses. Part 4: Topologically structured networks. This scripts simulates two neurons. One is driven with dc-input and connected to the other one with a facilitating tsodyks synapse. The membrane potential trace of the second neuron is recorded. This example reproduces figure 1B of Tsodyks et al. (1998) Neural Networks with Dynamic Synapses. Fourth, the nodes are created using Create. Which expe...