Spike detection using the continuous wavelet transform

By Zoran Nenadic, Joel W. Burdick. IEEE Transactions on Biomedical Engineering, 2005

397 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Microelectrodes, Microelectronics, and Implantable Neural Microsystems (2008, methodology): “Sophisticated digital signalprocessing (DSP) algorithms for spike detection and classification [67]–[ 73 ] require too much power and size at present, so reported spike detectors have used userprogrammable thresholds to provide information on spike occurrence.”
Past, present and future of spike sorting techniques (2015, methodology): “To improve this, ‘window discriminators’ were introduced, where one or more time-amplitude windows are deﬁned and the waveforms crossing them are assigned to a particular unit (Quian Quiroga, 2007).”
Pre-processing of hyperspectral images. Essential steps before image analysis (2012, methodology): “This method, however, requires human care, it is time consuming and its performance deteriorates rapidly under low signalto-noise ratio (SNR) [39].”