Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior

Researchers introduced behavior-decomposed linear dynamical systems (b-dLDS) to distinguish between neural activity related to behavior and internal computations in large-scale brain recordings. This model improves upon existing methods by better separating these processes and can scale up to analyze tens of thousands of neurons, offering new insights for understanding complex behaviors.

Read the full article at arXiv stat.ML

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