index.src.html

	<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>
            </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>
            </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>
</p>
  <h3> Get involved </h3>
  <p> Watch <a href="https://github.com/genn-team/genn">GeNN on GitHub</a>.
  <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:J.C.Knight@sussex.ac.uk">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">
</span></a>Publications</h3>
    <p> Knight, J. C., Komissarov, A., &amp; 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., &amp; 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., &amp; 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>
            {{% post-list start="0" stop="4" categories="software blog" %}}{{% /post-list %}}


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