Quiroga RQ, Nadasdy Z, Ben-Shaul Y. (2004). Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural computation. 16 [PubMed]

See more from authors: Quiroga RQ · Nadasdy Z · Ben-Shaul Y

References and models cited by this paper

Abeles M, Goldstein MH. (1977). Multispike train analysis Proc IEEE. 65

Binder K, Heermann DW. (1988). Monte Carlo simulations in statistical physics: An introduction.

Chui C. (1992). An introduction to wavelets.

Domany E. (1999). Super-paramagnetic clustering of data: The definitive solution of an ill-posed problem Physica A. 263

Domany E, Blatt M, Wiseman S. (1996). Superparamagnetic clustering of data. Phys Rev Lett. 76

Domany E, Blatt M, Wiseman S. (1997). Data clustering using a model granular magnet Neural Comput. 9

Donoho DL, Johnstone IM. (1994). Ideal spatial adaptation via wavelet shrinkage Biometrika. 81

Fee MS, Mitra PP, Kleinfeld D. (1996). Variability of extracellular spike waveforms of cortical neurons. Journal of neurophysiology. 76 [PubMed]

Harris KD, Henze DA, Csicsvari J, Hirase H, Buzsáki G. (2000). Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. Journal of neurophysiology. 84 [PubMed]

Hulata E, Segev R, Ben-Jacob E. (2002). A method for spike sorting and detection based on wavelet packets and Shannon's mutual information. Journal of neuroscience methods. 117 [PubMed]

Hulata E, Segev R, Shapira Y, Benveniste M, Ben-Jacob E. (2000). Detection and sorting of neural spikes using wavelet packets. Physical review letters. 85 [PubMed]

Hyvärinen A, Oja E. (2000). Independent component analysis: algorithms and applications. Neural networks : the official journal of the International Neural Network Society. 13 [PubMed]

Letelier JC, Weber PP. (2000). Spike sorting based on discrete wavelet transform coefficients. Journal of neuroscience methods. 101 [PubMed]

Lewicki MS. (1998). A review of methods for spike sorting: the detection and classification of neural action potentials. Network (Bristol, England). 9 [PubMed]

Mallat S. (1989). A theory for multiresolution signal decomposition: the wavelet representation IEEE Pattern Anal and Machine Intell. 11

Pouzat C, Mazor O, Laurent G. (2002). Using noise signature to optimize spike-sorting and to assess neuronal classification quality. Journal of neuroscience methods. 122 [PubMed]

Press WH, Teukolsky SA, Flannery BP, Vellerling WT. (1992). Numerical Recipes In C: The Art Of Scientific Computing.

Quian Quiroga R, Garcia H. (2003). Single-trial event-related potentials with wavelet denoising. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 114 [PubMed]

Quian Quiroga R, Kraskov A, Kreuz T, Grassberger P. (2002). Performance of different synchronization measures in real data: a case study on electroencephalographic signals. Physical review. E, Statistical, nonlinear, and soft matter physics. 65 [PubMed]

Quian Quiroga R, Sakowitz OW, Basar E, Schürmann M. (2001). Wavelet Transform in the analysis of the frequency composition of evoked potentials. Brain research. Brain research protocols. 8 [PubMed]

Samar VJ, Swartz KP, Raghuveer MR. (1995). Multiresolution analysis of event-related potentials by wavelet decomposition. Brain and cognition. 27 [PubMed]

Wolf U. (1989). Comparison between cluster Monte Carlo algorithms in the I sing spin model Phys Lett B. 228

References and models that cite this paper

Camuñas-Mesa LA, Quiroga RQ. (2013). A detailed and fast model of extracellular recordings. Neural computation. 25 [PubMed]

Choi H et al. (2014). Intrinsic bursting of AII amacrine cells underlies oscillations in the rd1 mouse retina. Journal of neurophysiology. 112 [PubMed]

Gold C, Henze DA, Koch C. (2007). Using extracellular action potential recordings to constrain compartmental models. Journal of computational neuroscience. 23 [PubMed]

Gold C, Henze DA, Koch C, Buzsáki G. (2006). On the origin of the extracellular action potential waveform: A modeling study. Journal of neurophysiology. 95 [PubMed]

Głąbska H, Chintaluri C, Wójcik DK. (2017). Collection of Simulated Data from a Thalamocortical Network Model. Neuroinformatics. 15 [PubMed]

Liou JY et al. (2020). A model for focal seizure onset, propagation, evolution, and progression. eLife. 9 [PubMed]

Mondragón-González SL, Burguière E. (2017). Bio-inspired benchmark generator for extracellular multi-unit recordings. Scientific reports. 7 [PubMed]

Morozova EO et al. (2016). Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting. Journal of neurophysiology. 116 [PubMed]

Neymotin SA, Lytton WW, Olypher AV, Fenton AA. (2011). Measuring the quality of neuronal identification in ensemble recordings. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Pazienti A, Grün S. (2006). Robustness of the significance of spike synchrony with respect to sorting errors. Journal of computational neuroscience. 21 [PubMed]

Schmidt M et al. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS computational biology. 14 [PubMed]

Traub RD, Middleton SJ, Knöpfel T, Whittington MA. (2008). Model of very fast (greater than 75 Hz) network oscillations generated by electrical coupling between the proximal axons of cerebellar Purkinje cells. The European journal of neuroscience. 28 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.