Methods, spike detection and sorting
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Kapucu FE, Makinen ME, Tanskanen JM, Yla-Outinen L, Narkilahti S, Hyttinen JA (2016) Joint analysis of extracellular spike waveforms and neuronal network bursts. J Neurosci Methods 259:143-155.
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Leibig C, Wachtler T, Zeck G (2016) Unsupervised neural spike sorting for high-density microelectrode arrays with convolutive independent component analysis. Journal of Neuroscience Methods 271:1-13.
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Regalia G, Coelli S, Biffi E, Ferrigno G, Pedrocchi A (2016) A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis. Comput Intell Neurosci 2016:8416237.
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Eisenman LN, Emnett CM, Mohan J, Zorumski CF, Mennerick S (2015) Quantification of bursting and synchrony in cultured hippocampal neurons. J Neurophysiol 114:1059-1071.
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Mahmud M, Pulizzi R, Vasilaki E, Giugliano M (2014) QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays. Front Neuroinform 8:26.
Martens MB, Chiappalone M, Schubert D, Tiesinga PH (2014) Separating burst from background spikes in multichannel neuronal recordings using return map analysis. Int J Neural Syst 24:1450012.
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Becchetti A, Gullo F, Bruno G, Dossi E, Lecchi M, Wanke E (2012) Exact distinction of excitatory and inhibitory neurons in neural networks: a study with GFP-GAD67 neurons optically and electrophysiologically recognized on multielectrode arrays. Front Neural Circuits 6:63.
Bestel R, Daus AW, Thielemann C (2012) A novel automated spike sorting algorithm with adaptable feature extraction. J Neurosci Methods 211:168-178.
Gullo F, Maffezzoli A, Dossi E, Lecchi M, Wanke E (2012) Classifying heterogeneity of spontaneous up-states: a method for revealing variations in firing probability, engaged neurons and Fano factor. J Neurosci Methods 203:407-417.
Kapucu FE, Tanskanen JM, Mikkonen JE, Yla-Outinen L, Narkilahti S, Hyttinen JA (2012) Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics. Front Comput Neurosci 6:38.
Martiniuc AV, Knoll A (2012) Interspike interval based filtering of directional selective retinal ganglion cells spike trains. Comput Intell Neurosci 2012:918030.
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Blenkinsop TA, Lang EJ (2011) Synaptic action of the olivocerebellar system on cerebellar nuclear spike activity. J Neurosci 31:14708-14720.
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Biffi E, Ghezzi D, Pedrocchi A, Ferrigno G (2010) Development and validation of a spike detection and classification algorithm aimed at implementation on hardware devices. Comput Intell Neurosci:659050.
Krumin M, Reutsky I, Shoham S (2010) Correlation-based analysis and generation of multiple spike trains using hawkes models with an exogenous input. Front Comput Neurosci 4:147.
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Sun JJ, Kilb W, Luhmann HJ (2010) Self-organization of repetitive spike patterns in developing neuronal networks in vitro. Eur J Neurosci 32:1289-1299.
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Gullo F, Maffezzoli A, Dossi E, Wanke E (2009) Short-latency cross- and autocorrelation identify clusters of interacting cortical neurons recorded from multi-electrode array. J Neurosci Methods 181:186-198.
Maccione A, Gandolfo M, Massobrio P, Novellino A, Martinoia S, Chiappalone M (2009) A novel algorithm for precise identification of spikes in extracellularly recorded neuronal signals. J Neurosci Methods 177:241-249.
Pasquale V, Martinoia S, Chiappalone M (2009) A self-adapting approach for the detection of bursts and network bursts in neuronal cultures. J Comput Neurosci.
Moulin C, Gliere A, Barbier D, Joucla S, Yvert B, Mailley P, Guillemaud R (2008) A new 3-D finite-element model based on thin-film approximation for microelectrode array recording of extracellular action potential. IEEE Trans Biomed Eng 55:683-692.
Park I, Paiva AR, Demarse TB, Principe JC (2008) An efficient algorithm for continuous time cross correlogram of spike trains. J Neurosci Methods 168:514-523.
Raichman N, Ben-Jacob E (2008) Identifying repeating motifs in the activation of synchronized bursts in cultured neuronal networks. J Neurosci Methods 170:96-110.
Chao ZC, Bakkum DJ, Potter SM (2007) Region-specific network plasticity in simulated and living cortical networks: comparison of the center of activity trajectory (CAT) with other statistics. J Neural Eng 4:294-308.
Maffezzoli A, Signorini MG, Gullo F, Wanke E (2007) Non linear methods estimating neural network behavior on Micro-Electrode Array technology. Conf Proc IEEE Eng Med Biol Soc 1:449-452.
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Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW (2007) Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses. IEEE Trans Biomed Eng 54:1053-1066.
Zeck GM, Masland RH (2007) Spike train signatures of retinal ganglion cell types. Eur J Neurosci 26:367-380.
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Liang PJ (2006) A New Method for Multiple Spike Train Analysis Based on Information Discrepancy. LNCS 4232, pp. 30–38, 2006.
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Moulin C, Gliere A (2006) A new 3D finite element model of extracellular action potentials recording with a microelectrode in a tissue slice. Conf Proc IEEE Eng Med Biol Soc 1:603-606.
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Wang GL, Liu X, Zhang PM, Liang PJ (2006) A New Method for Multiple Spike Train Analysis Based on Information Discrepancy. In: ICONIP 2006, Part I, (King I, ed).
Wang GL, Zhou Y, Chen AH, Zhang PM, Liang PJ (2006) A robust method for spike sorting with automatic overlap decomposition. IEEE Trans Biomed Eng 53:1195-1198.
Lin Y, Chen C, Chen L, Zeng S, Luo Q (2005) The analysis of electrode-recording-horizon in multi-electrode array(MEA). Conf Proc IEEE Eng Med Biol Soc 7:7345-7348.
Chiappalone M, Novellino A, Vajda I, Vato A, Martinoia S, van Pelt J (2004) Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons. Neurocomputing 65-66:653-662.
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Egert U, Heck D, Aertsen A (2002) Two-dimensional monitoring of spiking networks in acute brain slices. Exp Brain Res 142:268-274.
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