A robust biologically plausible implementation of ICA-like learning. - Felipe Gerhard; Cristina Savin; Jochen Triesch (ESANN, 2009)

Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models. - Felipe Gerhard; Wulfram Gerstner (NIPS, 2010)

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? - Felipe Gerhard; Gordon Pipa; Bruss Lima; Sergio Neuenschwander; Wulfram Gerstner (Frontiers Comput. Neurosci., 2011)

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models. - Felipe Gerhard; Robert Haslinger; Gordon Pipa (Neural Comput., 2011)

Improved Similarity Measures for Small Sets of Spike Trains. - Richard Naud; Felipe Gerhard; Skander Mensi; Wulfram Gerstner (Neural Comput., 2011)

Spline- and wavelet-based models of neural activity in response to natural visual stimulation. - Felipe Gerhard; Luca Szegletes (EMBC, 2012)

Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone. - Felipe Gerhard; Tilman Kispersky; Gabrielle J. Gutierrez; Eve Marder; Mark A. Kramer; Uri T. Eden (PLoS Comput. Biol., 2013)

On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs. - Felipe Gerhard; Moritz Deger; Wilson Truccolo (PLoS Comput. Biol., 2017)