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Quiroga RQ, Nadasdy Z, Ben-Shaul Y (2004) Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Comput 16:1661-87[PubMed]

References and models cited by this paper

References and models that cite this paper

Abeles M, Goldstein MH (1977) Multispike train analysis Proc IEEE 65:762-773

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

Blatt M, Wiseman S, Domany E (1996) Superparamagnetic clustering of data. Phys Rev Lett 76:3251-3254

Blatt M, Wiseman S, Domany E (1997) Data clustering using a model granular magnet Neural Comput 9:1805-1842

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 263:158-169

Donoho DL, Johnstone IM (1994) Ideal spatial adaptation via wavelet shrinkage Biometrika 81:425-455

Fee MS, Mitra PP, Kleinfeld D (1996) Variability of extracellular spike waveforms of cortical neurons. J Neurophysiol 76:3823-33 [Journal]

Harris KD, Henze DA, Csicsvari J, Hirase H, Buzsaki G (2000) Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. J Neurophysiol 84:401-14 [Journal] [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. J Neurosci Methods 117:1-12

Hulata E, Segev R, Shapira Y, Benveniste M, Ben-Jacob E (2000) Detection and sorting of neural spikes using wavelet packets. Phys Rev Lett 85:4637-40

Hyvarinen A, Oja E (2004) Independent component analysis: algorithms and applications. Neural Netw 13:411-30 [PubMed]

Letelier JC, Weber PP (2000) Spike sorting based on discrete wavelet transform coefficients. J Neurosci Methods 101:93-106

Lewicki MS (1998) A review of methods for spike sorting: the detection and classification of neural action potentials. Network 9:R53-78 [PubMed]

Mallat S (1989) A theory for multiresolution signal decomposition: the wavelet representation IEEE Pattern Anal and Machine Intell 11:674-693

Pouzat C, Mazor O, Laurent G (2002) Using noise signature to optimize spike-sorting and to assess neuronal classification quality. J Neurosci Methods 122:43-57

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

Quian Quiroga R, Garcia H (2003) Single-trial event-related potentials with wavelet denoising. Clin Neurophysiol 114:376-90

Quian Quiroga R, Kraskov A, Kreuz T, Grassberger P (2002) Performance of different synchronization measures in real data: a case study on electroencephalographic signals. Phys Rev E Stat Nonlin Soft Matter Phys 65:041903-20

Quian Quiroga R, Sakowitz OW, Basar E, Schurmann M (2001) Wavelet Transform in the analysis of the frequency composition of evoked potentials. Brain Res Brain Res Protoc 8:16-24

Samar VJ, Swartz KP, Raghuveer MR (1995) Multiresolution analysis of event-related potentials by wavelet decomposition. Brain Cogn 27:398-438

Wolf U (1989) Comparison between cluster Monte Carlo algorithms in the I sing spin model Phys Lett B 228:379-382

Camunas-Mesa LA, Quiroga RQ (2013) A Detailed and Fast Model of Extracellular Recordings Neural Comput 25(5):1191-1212 [Journal] [PubMed]

   A detailed and fast model of extracellular recordings (Camunas-Mesa & Qurioga 2013) [Model]

Choi H, Zhang L, Cembrowski M, Sabottke C, Markowitz A, Butts D, Kath W, Singer J, Riecke H (2014) Intrinsic Bursting of AII Amacrine Cells Underlies Oscillations in the rd1 Mouse Retina. J Neurophysiol [Journal] [PubMed]

   Bursting and oscillations in RD1 Retina driven by AII Amacrine Neuron (Choi et al. 2014) [Model]

Glabska H, Chintaluri C, Wójcik DK (2017) Collection of Simulated Data from a Thalamocortical Network Model. Neuroinformatics 15:87-99 [Journal] [PubMed]

   Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017) [Model]

Gold C, Henze DA, Koch C (2007) Using Extracellular Action Potential Recordings to Tune Compartmental Models. Journal of Computational Neuroscience 23:39-58 [Journal] [PubMed]

   Extracellular Action Potential Simulations (Gold et al 2007) [Model]

Gold C, Henze DA, Koch C, Buzsaki G (2006) On the origin of the extracellular action potential waveform: A modeling study. J Neurophysiol 95:3113-28 [Journal] [PubMed]

   Extracellular Action Potential Simulations (Gold et al 2007) [Model]

Morozova EO, Myroshnychenko M, Zakharov D, di Volo M, Gutkin B, Lapish CC, Kuznetsov A (2016) Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting J Neurophysiol. 116(4):1900-1923 [Journal] [PubMed]

   Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b) [Model]

Neymotin SA, Lytton WW, Olypher AO, Fenton AA (2011) Measuring the quality of neuronal identification in ensemble recordings Journal of Neuroscience 31(45):16398-16409 [Journal] [PubMed]

   Measuring neuronal identification quality in ensemble recordings (isoitools) (Neymotin et al. 2011) [Model]

Pazienti A, Grun S (2006) Robustness of the significance of spike synchrony with respect to sorting errors. J Comput Neurosci 21:329-42 [Journal] [PubMed]

Traub RD, Middleton SJ, Knopfel 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. Eur J Neurosci 28:1603-16 [Journal]

   Axonal gap junctions produce fast oscillations in cerebellar Purkinje cells (Traub et al. 2008) [Model]

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