<p>Show notes:</p>



<ul><li>Follow Dean on Twitter: <a href="https://twitter.com/deanbuono?lang=en">@deanbuono</a></li><li>Visit his <a href="http://www.buonomanolab.com/">lab website</a> at UCLA.</li><li>The review we discuss:
<ul>
<li><a href="http://www.buonomanolab.com/Publications/PatonBuonomano_Neuron_18.pdf">The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions</a></li>
</ul>
</li><li>The two books we discuss:</li>

<a target="_blank" href="https://www.amazon.com/gp/product/0393355608/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=0393355608&linkCode=as2&tag=pmiddlebroo09-20&linkId=afcf5687572d97f66b39669f6e28b0fc" rel="noopener noreferrer"></a>

<a target="_blank" href="https://www.amazon.com/gp/product/0393342220/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=0393342220&linkCode=as2&tag=pmiddlebroo09-20&linkId=3946c20797d52e51413498e7b22b527e" rel="noopener noreferrer"></a>
</li></ul>

Show notes: Follow Dean on Twitter: @deanbuonoVisit his lab website at UCLA.The review we discuss: The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions The two books we discuss:

<p>Show notes:</p>



<ul><li>Follow Dean on Twitter: <a href="https://twitter.com/deanbuono?lang=en" rel="noopener noreferrer">@deanbuono</a></li><li>Visit his <a href="http://www.buonomanolab.com/" rel="noopener noreferrer">lab website</a> at UCLA.</li><li>The review we discuss:
<ul>
<li><a href="http://www.buonomanolab.com/Publications/PatonBuonomano_Neuron_18.pdf" rel="noopener noreferrer">The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions</a></li>
</ul>
</li><li>The two books we discuss:</li>

<a href="https://www.amazon.com/gp/product/0393355608/ref=as_li_tl?ie=UTF8&amp;camp=1789&amp;creative=9325&amp;creativeASIN=0393355608&amp;linkCode=as2&amp;tag=pmiddlebroo09-20&amp;linkId=afcf5687572d97f66b39669f6e28b0fc" rel="noopener noreferrer"></a>

<a href="https://www.amazon.com/gp/product/0393342220/ref=as_li_tl?ie=UTF8&amp;camp=1789&amp;creative=9325&amp;creativeASIN=0393342220&amp;linkCode=as2&amp;tag=pmiddlebroo09-20&amp;linkId=3946c20797d52e51413498e7b22b527e" rel="noopener noreferrer"></a>
</ul>

BI 018 Dean Buonomano: Time in Brains and AI

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 018 Dean Buonomano: Time in Brains and AI

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