A general method to generate artificial spike train populations matching recorded neurons
Author:
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Cognitive Neuroscience,Sensory Systems
Link
http://link.springer.com/content/pdf/10.1007/s10827-020-00741-w.pdf
Reference66 articles.
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2. Abeles, M. (1983). The quantification and graphic display of correlations among three spike trains. IEEE Transactions on Biomedical Engineering, BME-30, 235–239.
3. Aertsen, A., Diesmann, M., & Gewaltig, M. O. (1996). Propagation of synchronous spiking activity in feedforward neural networks. Journal of Physiology (Paris), 90, 243–247.
4. Allers, K. A., Ruskin, D. N., Bergstrom, D. A., Freeman, L. E., Ghazi, L. J., Tierney, P. L., & Walters, J. R. (2002). Multisecond periodicities in basal ganglia firing rates correlate with theta bursts in transcortical and hippocampal EEG. J.Neurophysiol., 87, 1118–1122.
5. Bobier, B., Stewart, T. C., & Eliasmith, C. (2014). A unifying mechanistic model of selective attention in spiking neurons. PLoS Computational Biology, 10.
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