The Future of Wireless Communications. - Robert Rosenbaum (Inf. Secur. J. A Glob. Perspect., 2002)

Implementing DSLs in metaOCaml. - Miguel Guerrero; Edward Pizzi; Robert Rosenbaum; Kedar N. Swadi; Walid Taha (OOPSLA Companion, 2004)

Unstable Solutions of Nonautonomous Linear Differential Equations. - Kresimir Josic; Robert Rosenbaum (SIAM Rev., 2008)

Pooling and correlated neural activity. - Robert Rosenbaum; James Trousdale; Kresimir Josic (Frontiers Comput. Neurosci., 2010)

Mechanisms That Modulate the Transfer of Spiking Correlations. - Robert Rosenbaum; Kresimir Josic (Neural Comput., 2011)

Short Term Synaptic Depression Imposes a Frequency Dependent Filter on Synaptic Information Transfer. - Robert Rosenbaum; Jonathan E. Rubin; Brent Doiron (PLoS Comput. Biol., 2012)

The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variability. - Steven Reich; Robert Rosenbaum (J. Comput. Neurosci., 2013)

Correlated neuronal activity and its relationship to coding, dynamics and network architecture. - Robert Rosenbaum; Tatjana Tchumatchenko; Rubén Moreno-Bote (Frontiers Comput. Neurosci., 2014)

Short Term Plasticity, Biophysical Models. - Robert Rosenbaum (Encyclopedia of Computational Neuroscience, 2014)

A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic Inputs. - Robert Rosenbaum (Frontiers Comput. Neurosci., 2016)

A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways. - Ryan Pyle; Robert Rosenbaum (CoRR, 2018)

Imbalanced amplification: A mechanism of amplification and suppression from local imbalance of excitation and inhibition in cortical circuits. - Christopher Ebsch; Robert Rosenbaum (PLoS Comput. Biol., 2018)

A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity. - Ryan Pyle; Robert Rosenbaum (Neural Comput., 2019)

Inference of synaptic connectivity and external variability in neural microcircuits. - Cody Baker; Emmanouil Froudarakis; Dimitri Yatsenko; Andreas S. Tolias; Robert Rosenbaum (J. Comput. Neurosci., 2020)

Nonlinear stimulus representations in neural circuits with approximate excitatory-inhibitory balance. - Cody Baker; Vicky Zhu; Robert Rosenbaum (PLoS Comput. Biol., 2020)

On the relationship between predictive coding and backpropagation. - Robert Rosenbaum (CoRR, 2021)

Balanced networks under spike-time dependent plasticity. - Alan Eric Akil; Robert Rosenbaum; Kresimir Josic (PLoS Comput. Biol., 2021)

Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways. - Navid Shervani-Tabar; Robert Rosenbaum (CoRR, 2022)

Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks. - Vicky Zhu; Robert Rosenbaum (J. Comput. Neurosci., 2022)

Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model. - Vicky Zhu; Robert Rosenbaum (Neural Comput., 2024)