Hi everyone,

I wanted to ask some advice on EPSC detection using Neuromatic in IgorPro. I'm quite new to the software and I'm struggling to detect true events, it still includes a lot of noise.

A few things I struggle with are:

- It generally detects a lot of noise being an event. In some recordings the noise level is a bit higher. Even when I increase the threshold, still quite some noise is being picked up. Do you use a threshold of x ampl below baseline, or standard deviation? Or does the template matching work better? What threshold do you use.

- It does not accurately put the onset of the event. Often it puts the onset too early, well before the event actually starts. I've played quite a bit with changing the detection parameters for onset / baseline but haven't figured out a good setting. Do you have some advice?

- I wonder if I should filter the data before starting the event detection. Do people use a filter and if yes, what kind of filter do you use?

- I was wondering if there is a way in the software to filter events for certain settings and then visualize them? I now copy the output to excel, sort it and for example exclude some events based on the rise time, but it is then really hard to find back the events in the software to check if what I'm excluding I should actually excluded. Does anyone know of a way to sort data into the different Sets based on a certain parameter being higher or lower than x?

I use the software for data from in vitro cultured neurons and brain slices. It is especially a struggle with in vitro cultured neurons where our noise level usually is a bit higher.

It's a lot of questions but I hope someone can give me some advice on how to perform this analysis using IgorPro Neuromatic.

Thanks already!!

Anouk