Publication: Residual dynamics resolves recurrent contributions to neural computation
Residual dynamics resolves recurrent contributions to neural computation
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Galgali, A. R., Sahani, M., & Mante, V. (2023). Residual dynamics resolves recurrent contributions to neural computation. Nature Neuroscience, 26(2), 326–338. https://doi.org/10.1038/s41593-022-01230-2
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Relating neural activity to behavior requires an understanding of how neural computations arise from the coordinated dynamics of distributed, recurrently connected neural populations. However, inferring the nature of recurrent dynamics from partial recordings of a neural circuit presents considerable challenges. Here we show that some of these challenges can be overcome by a fine-grained analysis of the dynamics of neural residuals-that is, trial-by-trial variability around the mean neural population trajectory for a given task condit
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- Galgali, Aniruddh R
- Sahani, Maneesh
- Mante, Valerio
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Galgali, A. R., Sahani, M., & Mante, V. (2023). Residual dynamics resolves recurrent contributions to neural computation. Nature Neuroscience, 26(2), 326–338. https://doi.org/10.1038/s41593-022-01230-2
