References

Clements, J. D., and J. M. Bekkers. 1997. “Detection of Spontaneous Synaptic Events with an Optimally Selected Template.” Biophysical Journal 73 (1): 220–29.

Cotterill, E., P. Charlesworth, C. W. Thomas, O. Paulsen, and S. J. Eglen. 2016. “A Comparison of Computational Methods for Detecting Bursts in Neuronal Spike Trains and Their Application to Human Stem Cell-Derived Neuronal Networks.” Journal of Neurophysiology 116 (2): 306–21.

Garcia, S., D. Guarino, F. Jaillet, et al. 2014. “Neo: An Object Model for Handling Electrophysiology Data in Multiple Formats.” Frontiers in Neuroinformatics 8: 10.

Guzman, S. J., A. Schlögl, and C. Schmidt-Hieber. 2014. “Stimfit: Quantifying Electrophysiological Data with Python.” Frontiers in Neuroinformatics 8: 16.

Jonas, P., G. Major, and B. Sakmann. 1993. “Quantal Components of Unitary EPSCs at the Mossy Fibre Synapse on CA3 Pyramidal Cells of Rat Hippocampus.” The Journal of Physiology 472: 615–63.

Pasquale, V., S. Martinoia, and M. Chiappalone. 2010. “A Self-Adapting Approach for the Detection of Bursts and Network Bursts in Neuronal Cultures.” Journal of Computational Neuroscience 29: 213–29.

Pernia-Andrade, A., S. P. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, and P. Jonas. 2012. “A Deconvolution-Based Method with High Sensitivity and Temporal Resolution for Detection of Spontaneous Synaptic Currents in Vitro and in Vivo.” Biophysical Journal 103 (7): 1429–39.

Rossokhin, A. V., and I. Z. Saakian. 1992. “Dependence of the Nerve Pulse Generation Threshold on the Ability of Forming an Input Signal Based on the Hodgkin-Huxley Model.” Biofizika 37 (6): 1071–75.

Sekerli, M., C. A. Del Negro, R. H. Lee, and R. J. Butera. 2004. “Estimating Action Potential Thresholds from Neuronal Time-Series: New Metrics and Evaluation of Methodologies.” IEEE Transactions on Biomedical Engineering 51 (9): 1665–72.

Shinomoto, S., K. Shima, and J. Tanji. 2003. “Differences in Spiking Patterns Among Cortical Neurons.” Neural Computation 15: 2823–42.