Nicolas Barascud<p>Hi all, I’m a researcher working on brain-computer interfaces at Snap Inc.</p><p>My goal is to prove that noninvasive <a href="https://sigmoid.social/tags/BCI" class="mention hashtag" rel="tag">#<span>BCI</span></a> and <a href="https://sigmoid.social/tags/neurofeedback" class="mention hashtag" rel="tag">#<span>neurofeedback</span></a> can provide value outside of the lab.</p><p>Currently for me that includes (but does not limit to) applying <a href="https://sigmoid.social/tags/deeplearning" class="mention hashtag" rel="tag">#<span>deeplearning</span></a> methods to <a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="tag">#<span>timeseries</span></a> data like <a href="https://sigmoid.social/tags/EEG" class="mention hashtag" rel="tag">#<span>EEG</span></a>, but also other sensors like <a href="https://sigmoid.social/tags/eyetracking" class="mention hashtag" rel="tag">#<span>eyetracking</span></a> or inertial sensors (<a href="https://sigmoid.social/tags/IMUs" class="mention hashtag" rel="tag">#<span>IMUs</span></a>)
</p><p>
Also a <a href="https://sigmoid.social/tags/python" class="mention hashtag" rel="tag">#<span>python</span></a> geek. I maintain an M/EEG analysis toolbox<br />➡️ <a href="https://github.com/nbara/python-meegkit" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">github.com/nbara/python-meegkit</span><span class="invisible"></span></a> </p><p>

<a href="https://sigmoid.social/tags/introduction" class="mention hashtag" rel="tag">#<span>introduction</span></a> <a href="https://sigmoid.social/tags/neuroscience" class="mention hashtag" rel="tag">#<span>neuroscience</span></a> <a href="https://sigmoid.social/tags/altac" class="mention hashtag" rel="tag">#<span>altac</span></a> <a href="https://sigmoid.social/tags/neurotech" class="mention hashtag" rel="tag">#<span>neurotech</span></a></p>