Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Cognitive Neuroscience,Sensory Systems
Reference15 articles.
1. Brown, E. N., Barbieri, R., Ventura, V., Kass, R. E., Frank, L. M. (2002). The time-rescaling theorem and its application to neural spike train data analysis. Neural Computation, 14(2), 325–346.
2. Chen, S., Shojaie, A., Shea-Brown, E., Witten, D. (2017). The multivariate hawkes process in high dimensions: Beyond mutual excitation. arXiv:
170704928
.
3. Eichler, M., Dahlhaus, R., Dueck, J. (2017). Graphical modeling for multivariate hawkes processes with nonparametric link functions. Journal of Time Series Analysis, 38(2), 225–242.
4. Gerhard, F., Deger, M., Truccolo, W. (2017). On the stability and dynamics of stochastic spiking neuron models: Nonlinear hawkes process and point process glms. PLoS Computational Biology, 13(2), e1005,390.
5. Haslinger, R., Pipa, G., Brown, E. (2010). Discrete time rescaling theorem: determining goodness of fit for discrete time statistical models of neural spiking. Neural Computation, 22(10), 2477–2506.
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