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  • title: Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
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            Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
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            Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data

            Jul 24, 2023

            Speakers

            CJC

            Cheol Jun Cho

            Speaker · 0 followers

            EC

            Edward Chang

            Speaker · 0 followers

            GAA

            Gopala A. Anumanchipalli

            Speaker · 0 followers

            About

            Understanding the neural implementation of complex human behaviors is one of the major goals of neuroscience. To this end, it is crucial to find a true representation of the neural data, which is challenging due to the high complexity of the task and the low signal-to-ratio (SNR) of the signals. Here, we propose a novel unsupervised learning framework, Neural Latent Aligner (NLA), to find well-constrained, behaviorally relevant neural representations of complex behaviors. The key idea is to alig…

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            ICML 2023

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