Victor J. Barranca - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Reconstruction of sparse recurrent connectivity and inputs from the nonlinear dynamics of neuronal networksVictor J. Barranca. jcns, 51(1):43-58, 2023. [doi]

2021

Neural network learning of improved compressive sensing sampling and receptive field structureVictor J. Barranca. ijon, 455:368-378, 2021. [doi]

Data-Driven Reconstruction and Encoding of Sparse Stimuli across Convergent Sensory Layers from Downstream Neuronal Network DynamicsVictor J. Barranca, Yolanda Hu, Zoe Porterfield, Samuel Rothstein, Alex Xuan. siamads, 20(4):2602-2629, 2021. [doi]

2019

Network structure and input integration in competing firing rate models for decision-makingVictor J. Barranca, Han Huang, Genji Kawakita. jcns, 46(2):145-168, 2019. [doi]

2016

Efficient image processing via compressive sensing of integrate-and-fire neuronal network dynamicsVictor J. Barranca, Gregor Kovacic, Douglas Zhou, David Cai. ijon, 171:1313-1322, 2016. [doi]

2014

Dynamics of the exponential integrate-and-fire model with slow currents and adaptationVictor J. Barranca, Daniel C. Johnson, Jennifer L. Moyher, Joshua P. Sauppe, Maxim S. Shkarayev, Gregor Kovacic, David Cai. jcns, 37(1):161-180, 2014. [doi]

Sparsity and Compressed Coding in Sensory SystemsVictor J. Barranca, Gregor Kovacic, Douglas Zhou, David Cai. ploscb, 10(8), 2014. [doi]

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