Mentioned in the show
<ul>
<li>
The two papers we discuss:
<ul>
<li>
<a href="https://arxiv.org/abs/1805.08239">The Roles of Supervised Machine Learning in Systems Neuroscience</a>
</li>
<li>
<a href="https://arxiv.org/abs/1708.00909">Machine learning for neural decoding</a>
</li>
</ul>
</li>
</ul>
<ul>
<li>
<a href="http://kordinglab.com/">Kording lab</a>, where Josh did his PhD work
</li>
</ul>

Mentioned in the show The two papers we discuss: The Roles of Supervised Machine Learning in Systems Neuroscience Machine learning for neural decoding Kording lab, where Josh did his PhD work

&nbsp;
Mentioned in the show
<ul>
<li>
The two papers we discuss:
<ul>
<li>
<a href="https://arxiv.org/abs/1805.08239" rel="noopener noreferrer">The Roles of Supervised Machine Learning in Systems Neuroscience</a>
</li>
<li>
<a href="https://arxiv.org/abs/1708.00909" rel="noopener noreferrer">Machine learning for neural decoding</a>
</li>
</ul>
</li>
</ul>
<ul>
<li>
<a href="http://kordinglab.com/" rel="noopener noreferrer">Kording lab</a>, where Josh did his PhD work
</li>
</ul>
&nbsp;
&nbsp;
&nbsp;
&nbsp;
&nbsp;

BI 008 Joshua Glaser: Supervised ML for Neuroscience

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.

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BI 008 Joshua Glaser: Supervised ML for Neuroscience

BI 008 Joshua Glaser: Supervised ML for Neuroscience

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