Maximum likelihood analysis of spike trains of interacting nerve cells
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[1] S. Hagiwara,et al. Analysis of interval fluctuation of the sensory nerve impulse. , 1954, The Japanese journal of physiology.
[2] David R. Cox,et al. The statistical analysis of series of events , 1966 .
[3] C. F. Stevens,et al. Synaptic physiology , 1968 .
[4] P. Johannesma,et al. Diffusion Models for the Stochastic Activity of Neurons , 1968 .
[5] G Gestri,et al. Pulse frequency modulation in neural systems. A random model. , 1971, Biophysical journal.
[6] Bruce W. Knight,et al. Dynamics of Encoding in a Population of Neurons , 1972, The Journal of general physiology.
[7] G L Gerstein,et al. Mutual temporal relationships among neuronal spike trains. Statistical techniques for display and analysis. , 1972, Biophysical journal.
[8] David M. Kovenock,et al. The theoretical approach , 1973 .
[9] H. L. Bryant,et al. Correlations of neuronal spike discharges produced by monosynaptic connections and by common inputs. , 1973, Journal of neurophysiology.
[10] C. Knox,et al. Cross-correlation functions for a neuronal model. , 1974, Biophysical journal.
[11] D. Perkel,et al. Nerve-impulse patterns: A quantitative display technique for three neurons , 1975, Brain Research.
[12] D. Brillinger. The Identification of Point Process Systems , 1975 .
[13] A. Holden. Models of the stochastic activity of neurones , 1976 .
[14] A. G. Hawkes,et al. Stochastic Models for Spike Trains of Single Neurons , 1977 .
[15] R E Poppele,et al. A determination of excitability changes in dorsal spinocerebellar tract neurons from spike-train analysis. , 1977, Journal of neurophysiology.
[16] I. Rubin,et al. Random point processes , 1977, Proceedings of the IEEE.
[17] George L. Gerstein,et al. Identification of functionally related neural assemblies , 1978, Brain Research.
[18] Jack Cuzick,et al. Boundary crossing probabilities for stationary Gaussian processes and Brownian motion , 1981 .
[19] Hirotugu Akaike,et al. The application of linear intensity models to the investigation of causal relations between a point process and another stochastic process , 1982 .
[20] P Andersen,et al. Summation of excitatory postsynaptic potentials in hippocampal pyramidal cells. , 1983, Journal of neurophysiology.
[21] K. Dzhaparidze. On asymptotic inference about intensity parameters of a counting process , 1985 .
[22] H. Boogaard,et al. System identification based on point processes and correlation densities. I: The nonrefractory neuron model , 1986 .
[23] W S McCulloch,et al. A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.
[24] W. Pitts,et al. A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.
[25] H. Boogaard. Maximum likelihood estimations in a nonlinear self-exciting point process model , 1986, Biological Cybernetics.
[26] H. L. Bryant,et al. Identification of synaptic interactions , 1976, Biological Cybernetics.
[27] V. I. Kryukov,et al. A new statistical method for identifying interconnections between neuronal network elements , 1985, Biological Cybernetics.
[28] W. J. Melssen,et al. Detection and estimation of neural connectivity based on crosscorrelation analysis , 1987, Biological Cybernetics.
[29] M. ten Hoopen,et al. Fluctuation in excitability of nerve fibres — a model study , 1963, Kybernetik.
[30] L. M. Ricciardi,et al. Probabilistic models for determining the input-output relationship in formalized neurons , 2004, Kybernetik.
[31] David R. Brillinger,et al. Empirical examination of the threshold model of neuron firing , 1979, Biological Cybernetics.
[32] Mitsuyuki Nakao,et al. Identification and estimation algorithm for stochastic neural system. II , 2004, Biological Cybernetics.
[33] T. Nipkow,et al. Probabilistic Models , 2004 .