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. Author manuscript; available in PMC: 2022 Nov 29.
Published in final edited form as: Nat Mach Intell. 2020 Oct 26;2(11):674–683. doi: 10.1038/s42256-020-00242-6

Fig 6. Discovering interpretable models of neural dynamics from neurophysiological recordings.

Fig 6.

(a) An example trial showing spontaneous transitions between episodes of vigorous (On) and faint (Off) spiking in multiunit activity simultaneously recorded with 16-channel electrodes from the primate visual cortical area V4 during a fixation task. Spikes are marked by vertical ticks. Modelling results for an example channel are shown in b-e. (b) Validated negative log-likelihoods of models produced by the gradient-descent for two independent data samples 𝒟1 and 𝒟2. Models with the best generalization correspond to minima indicated by arrows. (c) Models with the best generalization are inconsistent across data samples (same colours as in b). (d) KL divergence between models discovered from two halves of 𝒟1 (red) and from two halves of 𝒟2 (blue) at each level of feature complexity. KL threshold (dashed line) to define * is set to 0.01. (e) The potentials at * identified independently from 𝒟1 (red) and 𝒟2 (blue) are in good agreement. Error bars shade the area between two potentials discovered from the halves of 𝒟1 (red) and 𝒟2 (blue). The potential shape supports the hypothesis of metastable transitions.