In this example the MPC algorithm perfectly tracks the noisy signal , which results in many false spikes.

In this example the MPC algorithm perfectly tracks the noisy signal , which results in many false spikes.

<p>The correlation coefficient is computed to be 0.19. Spiking rates plotted above are computed by downsampling neuronal spikes and normalizing them to be within [0, 1] for ease of viewing.</p>

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Bibliographic Details
Main Author:	Nicholas A. Rondoni (21573261) (author)
Other Authors:	Fan Lu (490738) (author), Daniel B. Turner-Evans (1556602) (author), Marcella Gomez (11441993) (author)
Published:	2025
Subjects:	Biophysics Cell Biology Neuroscience Biological Sciences not elsewhere classified require significant data propose potential applications obscuring functional relationships mechanistic modeling frameworks control theoretic approach art correlation scores calcium imaging using calcium imaging techniques leveraging modeling frameworks chemical reaction networks true neuronal activity predicting neuronal firing neuronal firing rates fluorescent calcium indicators div >< p neuronal activity photon imaging presented leveraging neural networks firing rate use cases spikefinder </ slow relative retaining interpretability powerful tool new algorithm meaningful metric direct measure animal ’
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