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Journal of Computational Neuroscience|July 14, 2022
Exact mean-field models for spiking neural networks with adaptationLiang Chen, Sue Ann CampbellJournal of Computational Neuroscience|March 11, 2022
Local inhibition in a model of the indirect pathway globus pallidus network slows and deregularizes background firing, but sharpens and synchronizes responses to striatal inputErick Olivares, Matthew H Higgs, Charles J WilsonJournal of Computational Neuroscience|September 18, 2023
Brain-guided manifold transferring to improve the performance of spiking neural networks in image classificationZahra Imani, Mehdi Ezoji, Timothée MasquelierJournal of Computational Neuroscience|October 14, 2023
On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networksFarshad Shirani, Hannah ChoiJournal of Computational Neuroscience|October 3, 2023
A fractional-order Wilson-Cowan formulation of cortical disinhibitionL R González-RamírezJournal of Computational Neuroscience|July 27, 2002
Modeling population responses of rapidly-adapting mechanoreceptive fibersBurak Güçlü, Stanley J BolanowskiJournal of Computational Neuroscience|November 19, 2002
Mathematical models of cochlear nucleus onset neurons: I. Point neuron with many weak synaptic inputsSridhar Kalluri, Bertrand DelgutteJournal of Computational Neuroscience|February 5, 2003
Spike correlation measures that eliminate stimulus effects in response to white noiseDuane Q NykampJournal of Computational Neuroscience|February 5, 2003
A cooperation and competition based simple cell receptive field model and study of feed-forward linear and nonlinear contributions to orientation selectivityBasabi Bhaumik, Mona MathurJournal of Computational Neuroscience|September 7, 2002
Computation by ensemble synchronization in recurrent networks with synaptic depressionAlex Loebel, Misha TsodyksPageof 127