http://www.nitrc.org/forum/forum.php?forum_id=7891 <h3 class="a-plus-plus">Abstract</h3> <p class="a-plus-plus">We implemented an automated and efficient open-source software for the analysis of multi-site neuronal spike signals. The software package, named S<span class="a-plus-plus emphasis type-small-caps">pi</span>C<span class="a-plus-plus emphasis type-small-caps">o</span>D<span class="a-plus-plus emphasis type-small-caps">yn</span>, has been developed as a standalone windows GUI application, using C# programming language with Microsoft Visual Studio based on .NET framework 4.5 development environment. Accepted input data formats are HDF5, level 5 MAT and text files, containing recorded or generated time series spike signals data. S<span class="a-plus-plus emphasis type-small-caps">pi</span>C<span class="a-plus-plus emphasis type-small-caps">o</span>D<span class="a-plus-plus emphasis type-small-caps">yn</span> processes such electrophysiological signals focusing on: spiking and bursting dynamics and functional-effective connectivity analysis. In particular, for inferring network connectivity, a new implementation of the transfer entropy method is presented dealing with multiple time delays (temporal extension) and with multiple binary patterns (high order extension). S<span class="a-plus-plus emphasis type-small-caps">pi</span>C<span class="a-plus-plus emphasis type-small-caps">o</span>D<span class="a-plus-plus emphasis type-small-caps">yn</span> is specifically tailored to process data coming from different Multi-Electrode Arrays setups, guarantying, in those specific cases, automated processing. The optimized implementation of the Delayed Transfer Entropy and the High-Order Transfer Entropy algorithms, allows performing accurate and rapid analysis on multiple spike trains from thousands of electrodes.</p> en-us Copyright 2000-2026 NITRC OSI Mon, 20 Apr 2026 0:35:19 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator