Felipe Gerhard

Affiliations: 
École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland 
Area:
computational neuroscience
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"Felipe Gerhard"
Mean distance: 14.76 (cluster 17)
 
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Parents

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Jochen Triesch research assistant 2007-2009 FIAS
Gordon Pipa research assistant 2008-2009 Max Planck Institute for Brain Research
Gaby Schneider research assistant 2008-2009 FIAS
Wulfram Gerstner grad student 2009- EPFL
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Publications

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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: e1005390
Lütcke H, Gerhard F, Zenke F, et al. (2013) Inference of neuronal network spike dynamics and topology from calcium imaging data. Frontiers in Neural Circuits. 7: 201
Gerhard F, Kispersky T, Gutierrez GJ, et al. (2013) Successful reconstruction of a physiological circuit with known connectivity from spiking activity alone. Plos Computational Biology. 9: e1003138
Gerhard F, Kispersky T, Gutierrez GJ, et al. (2013) Successful prediction of a physiological circuit with known connectivity from spiking activity alone Bmc Neuroscience. 14
Gerhard F, Szegletes L. (2012) Spline- and wavelet-based models of neural activity in response to natural visual stimulation. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 4611-4
Naud R, Gerhard F, Mensi S, et al. (2011) Improved similarity measures for small sets of spike trains. Neural Computation. 23: 3016-69
Gerhard F, Haslinger R, Pipa G. (2011) Applying the multivariate time-rescaling theorem to neural population models. Neural Computation. 23: 1452-83
Gerhard F, Pipa G, Lima B, et al. (2011) Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? Frontiers in Computational Neuroscience. 5: 4
Gerhard F, Gerstner W. (2011) Efficient modeling of neural activity using coupled renewal processes Bmc Neuroscience. 12
Gerhard F, Haslinger R, Pipa G. (2010) Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem Bmc Neuroscience. 11
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