Dynamics of the exponential integrate-and-fire model with slow currents and adaptation. - Victor J. Barranca; Daniel C. Johnson; Jennifer L. Moyher; Joshua P. Sauppe; Maxim S. Shkarayev; Gregor Kovacic; David Cai (J. Comput. Neurosci., 2014)

Sparsity and Compressed Coding in Sensory Systems. - Victor J. Barranca; Gregor Kovacic; Douglas Zhou; David Cai (PLoS Comput. Biol., 2014)

Efficient image processing via compressive sensing of integrate-and-fire neuronal network dynamics. - Victor J. Barranca; Gregor Kovacic; Douglas Zhou; David Cai (Neurocomputing, 2016)

Network structure and input integration in competing firing rate models for decision-making. - Victor J. Barranca; Han Huang; Genji Kawakita (J. Comput. Neurosci., 2019)

Neural network learning of improved compressive sensing sampling and receptive field structure. - Victor J. Barranca (Neurocomputing, 2021)

Data-Driven Reconstruction and Encoding of Sparse Stimuli across Convergent Sensory Layers from Downstream Neuronal Network Dynamics. - Victor J. Barranca; Yolanda Hu; Zoe Porterfield; Samuel Rothstein; Alex Xuan (SIAM J. Appl. Dyn. Syst., 2021)

Reconstruction of sparse recurrent connectivity and inputs from the nonlinear dynamics of neuronal networks. - Victor J. Barranca (J. Comput. Neurosci., 2023)

New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics. - Kenneth Barkdoll; Yuhua Lu; Victor J. Barranca (Frontiers Comput. Neurosci., 2023)

Biophysical modeling and experimental analysis of the dynamics of C. elegans body-wall muscle cells. - Xuexing Du; Jennifer Crodelle; Victor J. Barranca; Songting Li; Yunzhu Shi; Shangbang Gao; Douglas Zhou (PLoS Comput. Biol., 2025)