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<!DOCTYPE html>
<html prefix="
" lang="en">
<head>
<meta charset="utf-8">
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<title>GeNN · GeNN by genn-team </title>
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<div class="hsidebar">
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<div class="sidebar-about">
<h1>
<a href="http://genn-team.github.io/">
<h1 id="brand"><a href="http://genn-team.github.io/" title="GeNN" rel="home">
<span class="blog-title" id="blog-title">GeNN</span>
</a></h1>
</a>
</h1>
<p class="lead">Welcome to GeNN</p>
</div>
<nav id="menu" role="navigation" class="sidebar-nav"><a class="sidebar-nav-item" href="https://genn-team.github.io/genn/documentation/5/index.html">Documentation</a>
<a class="sidebar-nav-item" href="tutorials.html">Tutorials</a>
<a class="sidebar-nav-item" href="blog/">Latest Blog</a>
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Contents © 2024 <a href="mailto:[email protected]">GeNN Team</a> - Powered by <a href="https://getnikola.com" rel="nofollow">Nikola</a>
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<div class="content container" id="content">
<article class="post-text storypage" itemscope="itemscope" itemtype="http://schema.org/Article"><header><h1 class="post-title p-name"><a href="." class="u-url">GeNN by genn-team</a></h1>
</header><div class="e-content entry-content" itemprop="articleBody text">
<title>GeNN by genn-team</title>
<p>GeNN is a GPU enhanced Neuronal Network simulation environment based on NVIDIA CUDA technology.</p>
<p>
<a href="https://github.com/genn-team/genn" class="button">View project on GitHub</a></p>
<h3> Welcome to GeNN.</h3>
<table>
<tr><td colspan="3">
<h4>GeNN 5.1.0</h4>
</td></tr>
<tr>
<td>
Read the <a href="genn/documentation/5/index.html">full online documentation</a>
</td>
<td>
<a href="https://github.com/genn-team/genn/archive/5.1.0.zip" class="button">
Download
.zip file </a>
</td>
<td>
<a href="https://github.com/genn-team/genn/archive/5.1.0.tar.gz" class="button">
Download
.tar.gz file </a>
</td>
</tr>
<tr><td colspan="3">
<h4>GeNN 4.9.0</h4>
</td></tr>
<tr>
<td>
Read the <a href="genn/documentation/4/html/index.html">full online documentation</a>
</td>
<td>
<a href="https://github.com/genn-team/genn/archive/4.9.0.zip" class="button">
Download
.zip file </a>
</td>
<td>
<a href="https://github.com/genn-team/genn/archive/4.9.0.tar.gz" class="button">
Download
.tar.gz file </a>
</td>
</tr>
</table>
<h3> Meet the Team </h3>
<p>GeNN is maintained by <a href="https://github.com/genn-team">genn-team</a>.</p>
<table class="people">
<tr>
<td><img src="images/jamie.jpg" width="140px"></td>
<td>
<a href="http://www.sussex.ac.uk/profiles/415734">Dr James
Knight</a> is an EPSRC research software engineering fellow, working on
developing the potential of SNNs for machine learning at the <a href="http://www.sussex.ac.uk/ei/">School of Engineering and Informatics</a> at the
<a href="http://www.sussex.ac.uk/">University of
Sussex</a>
</td>
</tr>
<tr>
<td><img src="images/thomasnowotny.jpg" width="140px"></td>
<td>
<a href="http://www.sussex.ac.uk/profiles/206151">Prof Thomas
Nowotny</a> is a Professor of Informatics at
the <a href="http://www.sussex.ac.uk/">University of
Sussex</a>
</td>
</tr>
</table>
<h3> Get involved </h3>
<p> Watch <a href="https://github.com/genn-team/genn">GeNN on GitHub</a>.
</p>
<p> Ask a <a href="https://github.com/orgs/genn-team/discussions/categories/genn-questions">question</a>. </p>
<p> <a href="https://github.com/genn-team/genn/issues">Submit
an issue</a> on GitHub. </p>
<p> Send an <a href="mailto:[email protected]">email</a> to the team (James). </p>
<p> Follow the <a href="https://twitter.com/BrainsOnBoard">Twitter account</a> of the <a href="https://brainsonboard.co.uk/">Brains on Board Project</a>,
which is partially supporting the development of GeNN (financed by
the <a href="http://www.epsrc.ac.uk/">EPSRC</a>) </p>
<h3>
<a id="Publications" class="anchor" href="Publications">
</a>Publications</h3>
<p> Knight, J. C., Komissarov, A., & Nowotny, T. (2021). PyGeNN: A Python Library for GPU-Enhanced Neural Networks. Frontiers in Neuroinformatics, 15(April), 1–12. <a href="https://doi.org/10.3389/fninf.2021.659005">Access online</a></p>
<p> Knight, J. C., & Nowotny, T. (2021). Larger GPU-accelerated brain simulations with procedural connectivity. Nature Computational Science, 1, 136-142. <a href="https://doi.org/10.1038/s43588-020-00022-7">Access online</a></p>
<p> Knight, J. C., & Nowotny, T. (2018). GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model. Frontiers in Neuroscience, 12(December), 1–19. <a href="https://doi.org/10.3389/fnins.2018.00941">Access online</a></p>
<p> Yavuz, E., Turner, J. and Nowotny, T. (2016) GeNN: a code generation framework for accelerated brain simulations. Scientific Reports <b>6</b>, 18854. <a href="http://www.nature.com/articles/srep18854">Access online</a></p>
<a href="categories/cat_software-blog.html"><h3>Software Blog</h3></a>
<!-- Begin post-list post_list_79d22f629f144d37bc4856eb8e3edf9e -->
<div id="post_list_79d22f629f144d37bc4856eb8e3edf9e" class="post-list">
<ul class="post-list">
<li class="post-list-item">
2021-12-21 14:39
<a href="posts/sw_blog_toeplitz.html">Software Developer Blog: How to do convolutions with doubly blocked Toeplitz matrices</a>
</li>
</ul>
</div>
<!-- End post-list post_list_79d22f629f144d37bc4856eb8e3edf9e -->
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