Current list of related projects:
Neuroshare is a cooperative collaborative development of open library and data file format specifications for neurophysiology and distribute open-source data handling software tools for neuroscientists.
MEA-Tools is a Matlab Toolbox that:
* provides tools to analyse spike and field potential data from extracellular recordings (with Multi-Electrode-Arrays produced by the NMI Reutlingen, and the MCRack recording software); * offers graphical user interfaces (GUIs) and a script-based guide through some useful procedures * makes spike analysis, LFP analysis, analysis of continuous records, supplementary data management, common display functions, and documentation respectively accessible http://material.brainworks.uni-freiburg.de/research/meatools/
German Neuroinformatics Node to coordinate activities to improve data access, data storage, and data analysis, together with supporting activities for teaching and training. The thematic priority lies on the development and free distribution of tools for handling and analysing neurophysiological data. Further is serves as a platform for national and international Computational Neuroscientists. The G-Node belongs to the INCF (International Neuroinformatics Coordinating Facility). Germany as a member country sets up this 'National Node' for further the development of neuroinformatics.
The International Neuroinformatics Coordinating Facility (INCF) was established 2005 to fosters international activities in neuroinformatics. The INCF coordinate neuroinformatics activity and provides training facilities. Further it builds the infrastructure and is a platform for interdisciplinary cooperation. Together with the member countries national nodes were establishes which acts more local but with the same purpose.
sigTOOL is a MATLAB based software package for processing neuronal data, it especially implements a range of waveform and spike-train analysis functions. The SON library (incorporated into FIND) is also part of sigTOOL.
The PANDORA Toolbox
PANDORA is a Matlab Toolbox that:
* Makes database management accessible from your electrophysiology project; * Works offline within Matlab; * Requires no external software; * Is flexible, can easily tie with existing Matlab scripts; * Can query database as in SQL. http://userwww.service.emory.edu/~cgunay/pandora/
Relacs is an open software software platform for:
* data acquisition, * online analysis, and * stimulus generation
specifically designed for (but not limited to) electrophysiological recordings. Relacs is developed by Jan Benda (BCCN Munich).
The Chronux Package
Chronux is an open-source software package being developed for the analysis of neural data. Chronux routines may be employed in the analysis of both point process and continuous data, ranging from preprocessing, exploratory and confirmatory analysis.
The Engineering and Physical Sciences Research Council(UK) established the CARMEN Neuroinformatics project. It started in 2006 and over a period of 4 years a collaboration of 11 UK Universities will develop a virtual laboratory for neurophysiology, enabling sharing and collaborative exploitation of data, analysis code and expertise that are not physically collocated with Neural activity recordings (time and image series) as the primary data sources.
* WP0 Virtual laboratory infrastructure. User requirements gathering and support. * WP1 Spike detection and sorting. * WP2 Information theory methods for spike trains, continuous waveforms and image series. * WP3 Search algorithms for ion channel conductance parameter determination in cellular membrane models. * WP4 High performance template and context based signal data search. * WP5 Synchronous neural activation in motor disorders. Causality analysis and visualisation. Real-time data streaming. * WP6 Neural activity dynamics in the neonate retina. Models of activity spreading in epilepsy. Bayesian correlation methods. http://www.carmen.org.uk
Spike Train Analysis Toolkit, a software package which implements several information-theoretic spike train analysis techniques. This implementation behaves like a typical Matlab toolbox, but the underlying computations are coded in C and optimized for efficiency.