Using noise signature to optimize spike-sorting and to assess neuronal classification quality.

By C. Pouzat, Ofer Mazor, Gilles Laurent. Journal of Neuroscience Methods, 2002

314 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biophysics, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/407a6d9a3e1485c21da5e783919edb6b8b25e7be

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Citations in the corpus

Quality Metrics to Accompany Spike Sorting of Extracellular Signals (2011, methodology): “, the standard deviation at each sample of the waveform, can indicate whether multiple neurons contributed to a cluster (Pouzat et al., 2002) (Fig.”
A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo (2018, background): “Classical approaches to the spike sorting problem involve extracting some features from each detected spike (Hubel, 1957; Meister et al., 1994; Lewicki, 1994; Einevoll et al., 2012; Quiroga et al., 2004; Hill et al., 2011; Pouzat et al., 2002; Litke et al., 2004; Chung et al., 2017) and clustering t”
Past, present and future of spike sorting techniques (2015, methodology): “Alternatively, it has been proposed that a non-uniform variance of the spike shape is also a measure of poor unit isolation (Pouzat et al., 2002).”
A Simple Connectivity Scheme for Sparse Coding in an Olfactory System (2007, methodology): “Connectivity analysis was done using only clusters that (1) passed all standard tests [interspike interval (ISI) distribution, SD, and projection tests] (Pouzat et al., 2002) and (2) belonged to above categories 1 and 2.”
Encoding of mixtures in a simple olfactory system. (2013, unknown): “Because PNs respond very promiscuously to odors (Perez-Orive et al., 2002), no effort was made to find PNs that responded to our stimuli.”
Encoding and decoding of overlapping odor sequences. (2006, unknown): “PN and KC spikes were sorted offline using custom-designed algorithms (Pouzat et al., 2002) implemented in Igor (WaveMetrics).”