Learning, representing, and inferring a symbolic system from neural 
representations distributed across time and frequency

Martin, Andrea E.

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Learning, representing, and inferring a symbolic system from neural representations distributed across time and frequency

Martin, A. E. (2017). Learning, representing, and inferring a symbolic system from neural representations distributed across time and frequency. Talk presented at the Workshop Key Questions and New Methods in the Language Sciences. Berg en Dal, The Netherlands. 2017-06-14 - 2017-06-17.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0002-DA40-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-DA41-F

Genre: Talk

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Creators:
Martin, Andrea E.¹, Author

Affiliations:
1Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792545

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Language(s): eng - English

Dates: Created: 2017-06

Publication Status: Not specified

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Title: the Workshop Key Questions and New Methods in the Language Sciences

Place of Event: Berg en Dal, The Netherlands

Start-/End Date: 2017-06-14 - 2017-06-17

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