Cascade
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HelmchenLabSoftware
Calibrated inference of spiking from calcium ΔF/F data using deep networks
Dear Peter, first of all congrats on this fantastic work. I have run Cascade now on all sorts of different datasets. While it generally seems to perform well I do...
Would it be possible to train a network on subsampled Zebrafish data, that we might try on our GCamp7s OPM recordings in Danionella at 1Hz volume rate?
Hi again. Since we last spoke, I have been applying CASCADE to my two-photon Ca2+ imaging datasets and generally have been very pleased with the transformation of Ca2+ fluorescence traces...
It appears that there is a problem with the current version of Tensorflow used by Cascade with the Apple M1 chips. There seems to be solutions to the problem, but...
Hi Again! I believe the variable "verbose" is inconsistently labeled, and sometimes not labelled at all (e.g. infer_discrete_spikes). It would be very nice if there was a single global variable...
Hi! I have used the toolbox to predict the spike probability of my 2P recordings (jRCaMP1a, 30Hz). On average the noise levels are around 3-4, so I decided to use...
Hello, I was trying Cascade on the df/f extracted from CaImAn, and I noticed that the noise level of my data was "_Noise levels (mean, std; in standard units): 0.08,...
What are the current recommended versions for a local installation under Windows? Is there a performance advantage to using (installing with) GPU support, if one only uses pretrained models? The...
CASCADE was built using the deep learning framework Tensorflow. To avoid dependencies on Tensorflow, it would be convenient to have a reimplementation of CASCADE in the probably most broadly used...
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Calibrated inference of spiking from calcium ΔF/F data using deep networks