Simulated extracellular neural recordings, with white noise of physiologically relevant variance, and firing rates in the range of 0-100 Hz, generated using the action potential of a putative pyramidal neuron recorded from the primary motor cortex of an awake behaving rat

This is a simulated extracellular recording dataset that was generated using a real action potential waveform and analyzed in Okatan (2018a, 2018b). The method for generating these data was first explained and used in Okatan and Kocatürk (2017), where a narrower range of firing rates was considered. This is a resource (simulation), which could help analyze experimental neuroscience data in view of the fact that these data can contribute to the development of improved spike detection algorithms both for basic neuroscience research and for brain-computer interfaces. Okatan, M. and Kocatürk M. "Truncation thresholds: a pair of spike detection thresholds computed using truncated probability distributions", Turk J Elec Eng & Comp Sci., 25:1436-1447, 2017. doi:10.3906/elk-1603-33. Okatan, M. "A comparative study on the estimation of noise standard deviation using DATE and Truncation Thresholds." 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018a. Okatan, M. "Comparison of Truncation Thresholds with four different robust scale estimators." 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018b.