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Chaos (Woodbury, N.Y.)
|
February 20, 2024
Rapid changes in synchronizability in conductance-based neuronal networks with conductance-based coupling
Wilten Nicola
Nature Communications
|
December 22, 2017
Supervised learning in spiking neural networks with FORCE training
Wilten Nicola, Claudia Clopath
Nature Neuroscience
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June 26, 2019
A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus
Wilten Nicola, Claudia Clopath
Frontiers in Computational Neuroscience
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January 14, 2014
Mean-field models for heterogeneous networks of two-dimensional integrate and fire neurons
Wilten Nicola, Sue Ann Campbell
Journal of Computational Neuroscience
|
February 23, 2013
Bifurcations of large networks of two-dimensional integrate and fire neurons
Wilten Nicola, Sue Ann Campbell
Plos Computational Biology
|
July 21, 2025
Comparison of FORCE trained spiking and rate neural networks shows spiking networks learn slowly with noisy, cross-trial firing rates
Thomas Robert Newton, Wilten Nicola
Plos Computational Biology
|
March 13, 2018
Gap junction plasticity as a mechanism to regulate network-wide oscillations
Guillaume Pernelle, Wilten Nicola, Claudia Clopath
Frontiers in Neural Circuits
|
October 22, 2025
Hippocampal phase precession may be generated by chimera dynamics
Maria Masoliver, Jörn Davidsen, Wilten Nicola
Frontiers in Computational Neuroscience
|
March 15, 2016
Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights
Wilten Nicola, Bryan Tripp, Matthew Scott
Scientific Reports
|
May 8, 2024
The impact of spike timing precision and spike emission reliability on decoding accuracy
Wilten Nicola, Thomas Robert Newton, Claudia Clopath
Page
of 3
Search research articles
Search
Showing results (1-10 of 22) with videos related to
Sort By:
Page
of 3
Chaos (Woodbury, N.Y.)
|
February 20, 2024
Rapid changes in synchronizability in conductance-based neuronal networks with conductance-based coupling
Wilten Nicola
Nature Communications
|
December 22, 2017
Supervised learning in spiking neural networks with FORCE training
Wilten Nicola, Claudia Clopath
Nature Neuroscience
|
June 26, 2019
A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus
Wilten Nicola, Claudia Clopath
Frontiers in Computational Neuroscience
|
January 14, 2014
Mean-field models for heterogeneous networks of two-dimensional integrate and fire neurons
Wilten Nicola, Sue Ann Campbell
Journal of Computational Neuroscience
|
February 23, 2013
Bifurcations of large networks of two-dimensional integrate and fire neurons
Wilten Nicola, Sue Ann Campbell
Plos Computational Biology
|
July 21, 2025
Comparison of FORCE trained spiking and rate neural networks shows spiking networks learn slowly with noisy, cross-trial firing rates
Thomas Robert Newton, Wilten Nicola
Plos Computational Biology
|
March 13, 2018
Gap junction plasticity as a mechanism to regulate network-wide oscillations
Guillaume Pernelle, Wilten Nicola, Claudia Clopath
Frontiers in Neural Circuits
|
October 22, 2025
Hippocampal phase precession may be generated by chimera dynamics
Maria Masoliver, Jörn Davidsen, Wilten Nicola
Frontiers in Computational Neuroscience
|
March 15, 2016
Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights
Wilten Nicola, Bryan Tripp, Matthew Scott
Scientific Reports
|
May 8, 2024
The impact of spike timing precision and spike emission reliability on decoding accuracy
Wilten Nicola, Thomas Robert Newton, Claudia Clopath
Page
of 3