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Decomposing Spatiotemporal Brain Patterns into Topographic Latent Sources Samuel J. Gershman∗ Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Document Date: 2015-03-12 00:16:21

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Natick / Cambridge / /

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Mathworks Inc. / Monte Carlo / /

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Jordan / United States / /

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Princeton University / Princeton Neuroscience Institute / The Ohio State University / Massachusetts Institute of Technology / /

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inference algorithm / variational inference algorithm / functional magnetic resonance imaging / brain imaging data / temporal resolution brain imaging modalities / spatiotemporal brain imaging data / variational algorithm / approximate inference algorithm / cognitive processing / /

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Department of Brain and Cognitive Sciences / USA David M. Blei Department of Computer Science / Princeton University / USA Per B. Sederberg Department of Psychology / Massachusetts Institute of Technology / Topographic Latent Sources Samuel J. Gershman∗ Department of Brain and Cognitive Sciences / The Ohio State University / Psychology and Princeton Neuroscience Institute / USA Kenneth A. Norman Department of Psychology / /

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Kenneth A. Norman / Samuel J. Gershman / David M. Blei / /

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rt / /

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New Jersey / Massachusetts / /

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Neuroscience / variational inference algorithm / approximate inference algorithm / alternative algorithms / variational algorithm / magnetic resonance imaging / inference algorithm / /

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