AI RESEARCH
Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior
arXiv CS.LG
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ArXi:2603.05612v1 Announce Type: cross Brain-wide recordings of large-scale networks of neurons now provide an unprecedented view into how the brain drives behavior. However, brain activity contains both information directly related to behavior as well as the potential for many internal computations. Moreover, observable behavior is executed not only by the brain, but also by the spinal cord and peripheral nervous system. Behavior is a coarse-grained product of neural activity, and we thus take the view that it can be best represented by lower-dimensional latent neural dynamics.