Contents
Are cluster recordings extracellular?
Cluster quality measures. In an extracellular recording, spike waveforms recorded on a single tetrode represent a mixture of spikes obtained from one or more cells and waveforms due to noise events, such as mechanical artifacts.
How do neurons spike?
Spiking neural networks (SNNs) are artificial neural networks that more closely mimic natural neural networks. When the membrane potential reaches the threshold, the neuron fires, and generates a signal that travels to other neurons which, in turn, increase or decrease their potentials in response to this signal.
What is difference between Spike and surge?
Spikes and surges are both examples of over-voltage conditions. A spike (also referred to as a transient) is a very short over-voltage condition (billionths to millionths of a second), which is rarely harmful to most electronic devices. A surge, on the other hand, can be quite harmful to electronic devices.
How to find spike detection in a time series?
And for people who came here hoping to find something about spike detection in a time-series: The simplest thing you should start by doing is to compute a moving average of your input values. If your series is x 1, x 2,…, then you would compute a moving average after each observation as:
What are the inputs to peak signal detection?
The algorithm takes 3 inputs: lag = the lag of the moving window, threshold = the z-score at which the algorithm signals and influence = the influence (between 0 and 1) of new signals on the mean and standard deviation. For example, a lag of 5 will use the last 5 observations to smooth the data.
Are there any algorithms for detecting sudden peaks?
This question explores robust algorithms for detecting sudden peaks in real-time timeseries data. Example of this data is in Matlab format (but this question is not about the language but about the algorithm):
How to identify the beginning of a spike in errors?
There are some manual intervention steps that can be taken to decrease the server load, but only if someone is aware of the issue… Given a set of times that errors occurred, how can I identify the beginning of a spike in errors (in real time)? We can calculate periodically or on each error occurrence.