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Volumn 3, Issue MAY, 2009, Pages

OpenElectrophy: An electrophysiological data- and analysis-sharing framework

Author keywords

Analysis; Database; Electrophysiology; Oscillation; Python; Spike sorting; SQL

Indexed keywords


EID: 79960376083     PISSN: 16625196     EISSN: None     Source Type: Journal    
DOI: 10.3389/neuro.11.014.2009     Document Type: Article
Times cited : (72)

References (10)
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  • 3
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    • Python for information theoretic analysis of neural data
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    • Ince, R. A., Petersen, R. S., Swan, D. C., and Panzeri, S. (2009). Python for information theoretic analysis of neural data. Front. Neuroinform. 3,4. doi: 10.3389/neuro.11.004.2009.
    • (2009) Front. Neuroinform , vol.3 , pp. 4
    • Ince, R.A.1    Petersen, R.S.2    Swan, D.C.3    Panzeri, S.4
  • 4
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    • A review of methods for spike sorting: The detection and classification of neural action potentials
    • Lewicki, M. S. (1998). A review of methods for spike sorting: the detection and classification of neural action potentials. Network 9, R53-R78.
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  • 5
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    • Strong coupling between pyramidal cell activity and network oscillations in the olfactory cortex
    • Litaudon, P., Garcia, S., and Buonviso, N. (2008). Strong coupling between pyramidal cell activity and network oscillations in the olfactory cortex. Neuroscience 156, 781-787.
    • (2008) Neuroscience , vol.156 , pp. 781-787
    • Litaudon, P.1    Garcia, S.2    Buonviso, N.3
  • 6
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    • Improved spikesorting by modeling fi ring statistics and burst-dependent spike amplitude attenuation: A Markov chain Monte Carlo approach
    • Pouzat, C., Delescluse, M., Viot, P., and Diebolt, J. (2004). Improved spikesorting by modeling fi ring statistics and burst-dependent spike amplitude attenuation: a Markov chain Monte Carlo approach. J. Neurophysiol. 91, 2910-2928.
    • (2004) J. Neurophysiol , vol.91 , pp. 2910-2928
    • Pouzat, C.1    Delescluse, M.2    Viot, P.3    Diebolt, J.4
  • 8
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    • A waveletbased method for local phase extraction from a multi- frequency oscillatory signal
    • Roux, S. G., Cenier, T., Garcia, S., Litaudon, P., and Buonviso, N. (2007). A waveletbased method for local phase extraction from a multi- frequency oscillatory signal. J. Neurosci. Methods 160, 135-143.
    • (2007) J. Neurosci. Methods , vol.160 , pp. 135-143
    • Roux, S.G.1    Cenier, T.2    Garcia, S.3    Litaudon, P.4    Buonviso, N.5
  • 10
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    • Modular toolkit for data processing (MDP): A Python data processing framework
    • doi: 10.3389/neuro.11.008.2008
    • Zito, T., Wilbert, N., Wiskott, L., and Berkes, P. (2008). Modular toolkit for data processing (MDP): a Python data processing framework. Front. Neuroinform. 2, 8. doi: 10.3389/neuro.11.008.2008.
    • (2008) Front. Neuroinform , vol.2 , pp. 8
    • Zito, T.1    Wilbert, N.2    Wiskott, L.3    Berkes, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.