G-Node Winter Course on Neural Data Analysis 2015
7th G-Node Winter Course on Neural Data Analysis February 23 - 27, 2015 in Munich, Germany The German Neuroinformatics Node (G-Node) organizes its seventh international training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. The course offers hands-on experience with model-driven analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods, as well as from students with a theoretical background that have an interest in analyzing physiological data. Participants must have ample programming skills in Matlab or Python. Faculty: Jan Grewe · Eberhard Karls Universität Tübingen Alex Loebel · Ludwig-Maximillians-Universität München and BCCN München Moritz Grosse-Wentrup · Max Planck Institute for Intelligent Systems Tübingen Thomas Wachtler · Ludwig-Maximillians-Universität München and BCCN München Topics: · Short-term plasticity · Spectral analysis · Mutual information · Machine learning · Neural tuning and decoding · Deadline for application: December 19, 2014 For more information visit http://www.g-node.org/dataanalysis-course-2015 With best regards, Jan Grewe (Organizer, Tübingen) and Thomas Wachtler (Local Organizer, Munich)
We announce the release of MOOSE 3.0.0 "Kheer Kadam" Websites: http://moose.ncbs.res.in, http://sourceforge.net/projects/moose MOOSE is the Multiscale Object-Oriented Simulation Environment. It is designed to simulate neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, circuits, and large networks. MOOSE can operate at many levels of detail, from stochastic chemical computations, to multicompartment single-neuron models, to spiking neuron network models. There are several big changes in 3.0.0:: - Major feature developments for multiscaling, including deterministic reaction-diffusion calculations, a substantial set of classes for Leaky Integrate-and-Fire neuronal networks, and abstract plastic synapses. - Extensive example-based documentation in a new MOOSE Cookbook. - An entirely new and faster messaging system. - An evolution of the Python interface to use object arrays. - Automatic scheduling of all objects upon creation. This release also has a reworked version of the GUI, which is currently in alpha but can be used to run and build kinetic models. About the name: Kheer Kadam is a sweet from Bengal. It has a soft white, dry and sometimes powdery outer layer with a pink or white spongy interior soaked in syrup. Try one! Upi Bhalla will give a talk on MOOSE at the Neuroscience Gateway Workshop at SfN 2014 on Saturday, Nov. 15, 2014. See http://www.nsgportal.org/workshop.html With best regards, The MOOSE team: Subhasis Ray, Harsha Rani, Aditya Gilra, Aviral Goel, Dilawar Singh, Upi Bhalla
participants (2)
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Thomas Wachtler -
U.S.Bhalla