Cessac 2011 | Cessac, B. | Statistics of spike trains in conductance-based neural networks: Rigorous results | The Journal of Mathematical Neuroscience (2011) 1:1-42 doi:10.1186/2190-8567-1-8 |
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Cessac and Cofre 2013 | Cessac, B. and Cofre, R. | Spike train statistics and Gibbs distributions | Journal of Physiology-Paris (2013) 107(5): 360-368 doi:10.1016/j.jphysparis.2013.03.001 |
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Cofré and Cessac 2012 | Cofré, R. and Cessac, B. | Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses | Chaos, Solitons & Fractals (2013) 50: 13-31 doi:10.1016/j.chaos.2012.12.006 |
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Nasser et al. 2012 | Nasser, H., Marre, O. and Cessac, B. | Spatio-temporal spike trains analysis for large scale networks using maximum entropy principle and Monte-Carlo method | Journal of Statistical Mechanics (2013) : P03006 doi:10.1088/1742-5468/2013/03/P03006 |
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Naude et al. 2013 | Naude, J., Cessac, B., Berry, H. and Delord, B. | Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks | The Journal of Neuroscience (2013) 33(38):15032-15043 doi:10.1523/JNEUROSCI.0870-13.2013 |
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Rostro-Gonzalez et al. 2011 | Rostro-Gonzalez, H., Cessac, B., Girau, B. and Torres-Huitzil, C. | The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networks | J. Physiol. Paris, (2011) 105:1-3 doi:10.1016/j.jphysparis.2011.09.004 |
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Rostro-Gonzalez et al. 2012 | Rostro-Gonzalez, H., Cessac, B. and Viéville, T. | Parameters estimation in spiking neural networks: a reverse-engineering approach | J. Neural. Eng. (2012) 9: 026024 doi:10.1088/1741-2560/9/2/026024 |
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Vasquez et al. 2012 | Vasquez, J.-C., Palacios, A., Marre, O., Berry II, M. J. and Cessac, B. | Gibbs distribution analysis of temporal correlations structure in retina ganglion cells | J. Physiol. Paris (2012) 106(4):120-127 doi:10.1016/j.jphysparis.2011.11.001 |
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Cessac and Palacios 2012 | Cessac, B. and Palacios, A. | Spike train statistics from empirical facts to theory: the case of the retina | Modeling in Computational Biology and Biomedicine: A Multidisciplinary Endeavor, Springer-Verlag (2012) | fulltext, BibTeX |