A myriad of AI, science, and technology experts explore the real challenges and enormous opportunities facing entrepreneurs who are building the future of health. Raising Health, a podcast by a16z Bio + Health and hosted by Kris Tatiossian and Olivia Webb, dives deep into the heart of biotechnology and healthcare innovation. Join veteran company builders, operators, and investors Vijay Pande, Julie Yoo, Vineeta Agarwala, and Jorge Conde, along with distinguished guests like Mark Cuban, Greg ...
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Encoding and decoding semantic representations with Alexander Huth
MP3•Episode home
Manage episode 362463248 series 2863266
Content provided by Stephen M. Wilson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen M. Wilson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode, I talk with Alexander Huth, Assistant Professor of Neuroscience and Computer Science at the University of Texas, Austin, about his work using functional imaging and advanced computational methods to model how the brain processes language and represents meaning.
Huth AG, Nishimoto S, Vu AT, Gallant JL. A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron 2012; 76: 1210-24. [doi]
Huth AG, de Heer WA, Griffiths TL, Theunissen FE, Gallant JL. Natural speech reveals the semantic maps that tile human cerebral cortex. Nature 2016; 532: 453-8. [doi]
Jain S, Huth AG. Incorporating context into language encoding models for fMRI. Proceedings of the 32nd International Conference on Neural Information Processing Systems 2018, pp. 6629-38. [doi]
Tang J, LeBel A, Jain S, Huth AG. Semantic reconstruction of continuous language from non-invasive brain recordings. Nat Neurosci in press. [doi]
32 episodes
MP3•Episode home
Manage episode 362463248 series 2863266
Content provided by Stephen M. Wilson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen M. Wilson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode, I talk with Alexander Huth, Assistant Professor of Neuroscience and Computer Science at the University of Texas, Austin, about his work using functional imaging and advanced computational methods to model how the brain processes language and represents meaning.
Huth AG, Nishimoto S, Vu AT, Gallant JL. A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron 2012; 76: 1210-24. [doi]
Huth AG, de Heer WA, Griffiths TL, Theunissen FE, Gallant JL. Natural speech reveals the semantic maps that tile human cerebral cortex. Nature 2016; 532: 453-8. [doi]
Jain S, Huth AG. Incorporating context into language encoding models for fMRI. Proceedings of the 32nd International Conference on Neural Information Processing Systems 2018, pp. 6629-38. [doi]
Tang J, LeBel A, Jain S, Huth AG. Semantic reconstruction of continuous language from non-invasive brain recordings. Nat Neurosci in press. [doi]
32 episodes
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