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<!DOCTYPE html>
<html>
<head>
<meta charset='utf-8' />
<meta http-equiv="X-UA-Compatible" content="chrome=1" />
<meta name="description" content="neuropy : A Python application for interactive analysis of sorted neuronal spike data and raw LFP waveforms" />
<link rel="stylesheet" type="text/css" media="screen" href="stylesheets/stylesheet.css">
<title>neuropy</title>
</head>
<body>
<!-- HEADER -->
<div id="header_wrap" class="outer">
<header class="inner">
<a id="forkme_banner" href="https://github.com/neuropy/neuropy">View on GitHub</a>
<h1 id="project_title">neuropy</h1>
<h2 id="project_tagline"> A command-line based Python program for interactive analysis of sorted neuronal spike data, stimulus data, and LFP waveforms.</h2>
</header>
</div>
<!-- MAIN CONTENT -->
<div id="main_content_wrap" class="outer">
<section id="main_content" class="inner">
<p><img src="images/logo.png" alt="neuropy logo"></p>
<p>The latest version is available in its <a href="http://github.com/neuropy/neuropy">GitHub
repository</a>.</p>
<p>Here's a screenshot showing the spatiotemporal spike-triggered average (STA) response of
each sorted cell (right, rows) to an msequence noise display, as well as the spectrogram of
the associated local field potential (LFP). In the console, after the data is loaded (not
visible), you can see the partially obscured list of recordings for track "ptc22.tr1", as well
as the commands used to run these analyses on recording 04:</p>
<p><a href="images/sta_specgram.png">
<img src="images/sta_specgram.png" alt="neuropy screenshot">
</a>
</p>
<p>For more details, see the <a href="https://github.com/neuropy/neuropy#readme">README</a>.</p>
</section>
</div>
<!-- FOOTER -->
<div id="footer_wrap" class="outer">
<footer class="inner">
<p>Published with <a href="http://pages.github.com">GitHub Pages</a></p>
</footer>
</div>
</body>
</html>