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Volumn 40, Issue 1-2, 1997, Pages 111-118

Spike train patterning and forecastability

Author keywords

Forecasting; Neural modeling; Noise; Non linear dynamics; Phase locking; Point processes

Indexed keywords

CELL ACTIVITY; CELL COMMUNICATION; CONFERENCE PAPER; CORRELATION FUNCTION; DYNAMICS; ELECTRORECEPTOR; FORECASTING; MATHEMATICAL MODEL; METHODOLOGY; NERVE CELL; SPIKE; STOCHASTIC MODEL;

EID: 0031060101     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/0303-2647(96)01636-X     Document Type: Conference Paper
Times cited : (19)

References (11)
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  • 3
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    • Models of the stochastic activity of neurones
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  • 4
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    • Nonlinear forecasting of spike trains from sensory neurons
    • Longtin, A., 1993a, Nonlinear forecasting of spike trains from sensory neurons. Int. J. Bif. Chaos 3, 651-661.
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    • Longtin, A.1
  • 5
    • 4243084150 scopus 로고
    • Stochastic resonance in neuron models
    • Longtin, A., 1993b, Stochastic resonance in neuron models. J. Stat. Phys. 70, 309-327.
    • (1993) J. Stat. Phys. , vol.70 , pp. 309-327
    • Longtin, A.1
  • 6
    • 11744378751 scopus 로고
    • Mechanisms of stochastic phase locking
    • Longtin, A., 1995, Mechanisms of stochastic phase locking. Chaos 5, 209-215.
    • (1995) Chaos , vol.5 , pp. 209-215
    • Longtin, A.1
  • 7
    • 4244022005 scopus 로고    scopus 로고
    • Assessment of linear and non-linear correlations between neural firing events
    • Montréal, July 1995. Fields Inst. Commun., Am. Math. Soc. (in press)
    • Longtin, A. and Racicot, D.M., 1996, Assessment of linear and non-linear correlations between neural firing events, Proc. of the Nonlinear Dynamics and Time Series Conf., Montréal, July 1995. Fields Inst. Commun., Am. Math. Soc. (in press).
    • (1996) Proc. of the Nonlinear Dynamics and Time Series Conf.
    • Longtin, A.1    Racicot, D.M.2
  • 8
    • 0013860703 scopus 로고
    • Statistical analysis and functional interpretation of neuronal spike data
    • Moore, G.P., Perkel, D.H. and Segundo, J.P., 1966, Statistical analysis and functional interpretation of neuronal spike data. Annu. Rev. Physiol. 28, 493-522.
    • (1966) Annu. Rev. Physiol. , vol.28 , pp. 493-522
    • Moore, G.P.1    Perkel, D.H.2    Segundo, J.P.3
  • 9
    • 0000396621 scopus 로고
    • Reconstruction of dynamical systems from interspike intervals
    • Sauer, T., 1994, Reconstruction of dynamical systems from interspike intervals. Phys. Rev. Lett. 72, 3811-3814.
    • (1994) Phys. Rev. Lett. , vol.72 , pp. 3811-3814
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  • 10
    • 0000314757 scopus 로고
    • Using surrogate data to detect non-linearity in time series
    • M. Casdagli and S. Eubank (eds.) Addison-Wesley, Redwood City, Ca
    • Theiler, J., Galdrikian, B., Longtin, A., Eubank, S. and Farmer, J.D., 1991, Using surrogate data to detect non-linearity in time series, in: Nonlinear Prediction and Modeling, M. Casdagli and S. Eubank (eds.) (Addison-Wesley, Redwood City, Ca) pp. 163-188.
    • (1991) Nonlinear Prediction and Modeling , pp. 163-188
    • Theiler, J.1    Galdrikian, B.2    Longtin, A.3    Eubank, S.4    Farmer, J.D.5
  • 11
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    • Nonlinear prediction as a way of distinguishing chaos from random fractal sequences
    • Tsonis, A.A. and Elsner, J.B., 1992, Nonlinear prediction as a way of distinguishing chaos from random fractal sequences. Nature 358, 217-220.
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    • Tsonis, A.A.1    Elsner, J.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.