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Plos Computational Biology|March 13, 2018
Gap junction plasticity as a mechanism to regulate network-wide oscillationsGuillaume Pernelle, Wilten Nicola, Claudia ClopathNature Communications|December 22, 2017
Supervised learning in spiking neural networks with FORCE trainingWilten Nicola, Claudia ClopathNature Neuroscience|June 26, 2019
A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampusWilten Nicola, Claudia ClopathScientific Reports|May 8, 2024
The impact of spike timing precision and spike emission reliability on decoding accuracyWilten Nicola, Thomas Robert Newton, Claudia ClopathChaos (Woodbury, N.Y.)|September 6, 2018
Chaos in homeostatically regulated neural systemsWilten Nicola, Peter John Hellyer, Sue Ann Campbell, et al.Chaos (Woodbury, N.Y.)|February 20, 2024
Rapid changes in synchronizability in conductance-based neuronal networks with conductance-based couplingWilten NicolaCognitive Neurodynamics|June 5, 2013
Synaptic consolidation: an approach to long-term learningClaudia ClopathFrontiers in Computational Neuroscience|January 14, 2014
Mean-field models for heterogeneous networks of two-dimensional integrate and fire neuronsWilten Nicola, Sue Ann CampbellJournal of Computational Neuroscience|February 23, 2013
Bifurcations of large networks of two-dimensional integrate and fire neuronsWilten Nicola, Sue Ann CampbellPlos Computational Biology|July 21, 2025
Comparison of FORCE trained spiking and rate neural networks shows spiking networks learn slowly with noisy, cross-trial firing ratesThomas Robert Newton, Wilten NicolaPageof 14