Extended Data Fig. 4: Further characterization of random target modeling. | Nature Methods

Extended Data Fig. 4: Further characterization of random target modeling.

From: A large-scale neural network training framework for generalized estimation of single-trial population dynamics

Extended Data Fig. 4: Further characterization of random target modeling.

(a) Brain area and task schematics for the random target dataset, MR. (b) Schematic of the random target task (top), revealing the unstereotyped trial structure. Continuous neural spiking data was divided into overlapping segments for modeling (bottom). After modeling, the inferred rates were merged using a weighted average of data at overlapping time points. (c) Hand velocity decoding performance for AutoLFADS in the random target task in comparison to smoothing, GPFA, and LFADS R.S. (random search) baselines.

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