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Plos Computational Biology|September 18, 2020
Nonlinear stimulus representations in neural circuits with approximate excitatory-inhibitory balanceCody Baker, Vicky Zhu, Robert RosenbaumNeural Computation|July 19, 2024
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network ModelVicky Zhu, Robert RosenbaumJournal of Computational Neuroscience|June 3, 2022
Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networksVicky Zhu, Robert RosenbaumPhysical Review. E|June 20, 2019
Correlated states in balanced neuronal networksCody Baker, Christopher Ebsch, Ilan Lampl, et al.Journal of Computational Neuroscience|February 22, 2020
Inference of synaptic connectivity and external variability in neural microcircuitsCody Baker, Emmanouil Froudarakis, Dimitri Yatsenko, et al.Plos One|March 31, 2022
On the relationship between predictive coding and backpropagationRobert RosenbaumPlos One|March 25, 2025
Correction: On the relationship between predictive coding and backpropagationRobert RosenbaumFrontiers in Computational Neuroscience|May 6, 2016
A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic InputsRobert RosenbaumPhysical Review. E|May 14, 2016
Highly connected neurons spike less frequently in balanced networksRyan Pyle, Robert RosenbaumJournal of Computational Neuroscience|January 29, 2013
The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variabilitySteven Reich, Robert RosenbaumPageof 6