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Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model

Fig 5

OSLMM latent spaces extracted from auditory cortex population activity are structured by external stimuli.

(A, C) Trial-averaged latent neural trajectories for all attenuations with a fixed frequency 7627 Hz for OSLMM and GFPA respectively; (B, D) Trial-averaged latent neural trajectories for all frequencies with a fixed attenuation (−10dB) for OSLMM and GPFA respectively. (E) Stimulus attenuation vs. the amplitude of the latent trajectory. (F) Stimulus frequency vs. the angle of latent trajectory. Lines in (E,F) are a moving average.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1011975.g005