IC-1086RS LDS fails to increase its number of active states when the underlying dynamics change non-stationarily

Victor Geadah, International Brain Laboratory, Jonathan W. Pillow

SourceParsing neural dynamics with infinite recurrent switching linear dynamical systems

On the extended NASCAR synthetic task, where the true number of discrete states shifts from 4 to 6 mid-trajectory, the RS LDS model (with k=6 allocated) still maintains only 4 active states after the dynamics switch, as seen in its most-likely discrete state trajectories. On real IBL mouse electrophysiology data, the RS LDS shows much smaller fluctuations in the number of occupied states per trial (spline r²=0.16) compared to the IRSLDS (r²=0.46), indicating it misses trial-varying structure in state usage. The limitation is the fixed cardinality of the discrete state space in the HMM-based transition prior.

Evidence
correlational
Key metric
Extended NASCAR (k=6, 5 seeds): RS LDS test LL 8015.93, dyn MSE 0.35; IBL per-trial spline r²=0.16 (RS LDS) vs 0.46 (IRSLDS); IBL per-trial k=8 test LL: RS LDS −1399.030
Caveat
The IBL results are from a single session (session id ae8787b1-4229-4d56-b0c2-566b61a25b77) and the authors note they do not aim to make general claims about neural computation.
Model
RS-LDS
Concepts
Failure mode
Datasets
IBL Brainwide Map [eval]
Methods
Sequential Monte Carlo [eval]
Related work
Linderman et al. 2016 (RS LDS) [builds-on]
Related findings
IC-1087
Extraction
automatic-extraction