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A research framework for building RNNs whose architecture, dynamics, and functional motifs are constrained by biological data from cortex. It moves beyond generic RNNs by incorporating priors—such …
Implementation of Spatially Masked Regression (SMR), a framework that reconstructs neural signals while masking nearby electrodes to separate local redundancy from distributed structure. Includes S…