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Victor J. Barranca

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2023
[j8]
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  - journals/ficn/BarkdollLB23
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Kenneth Barkdoll, Yuhua Lu, Victor J. Barranca:
New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics. Frontiers Comput. Neurosci. 17 (2023)
[j7]
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Victor J. Barranca:
Reconstruction of sparse recurrent connectivity and inputs from the nonlinear dynamics of neuronal networks. J. Comput. Neurosci. 51(1): 43-58 (2023)
2021
[j6]
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Victor J. Barranca:
Neural network learning of improved compressive sensing sampling and receptive field structure. Neurocomputing 455: 368-378 (2021)
[j5]
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  - journals/siamads/BarrancaHPRX21
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Victor J. Barranca, Yolanda Hu, Zoe Porterfield, Samuel Rothstein, Alex Xuan:
Data-Driven Reconstruction and Encoding of Sparse Stimuli across Convergent Sensory Layers from Downstream Neuronal Network Dynamics. SIAM J. Appl. Dyn. Syst. 20(4): 2602-2629 (2021)
2019
[j4]
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  - journals/jcns/BarrancaHK19
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Victor J. Barranca, Han Huang, Genji Kawakita:
Network structure and input integration in competing firing rate models for decision-making. J. Comput. Neurosci. 46(2): 145-168 (2019)
2016
[j3]
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  - journals/ijon/BarrancaKZC16
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Victor J. Barranca, Gregor Kovacic, Douglas Zhou, David Cai:
Efficient image processing via compressive sensing of integrate-and-fire neuronal network dynamics. Neurocomputing 171: 1313-1322 (2016)
2014
[j2]
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  - journals/jcns/BarrancaJMSSKC14
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Victor J. Barranca, Daniel C. Johnson, Jennifer L. Moyher, Joshua P. Sauppe, Maxim S. Shkarayev, Gregor Kovacic, David Cai:
Dynamics of the exponential integrate-and-fire model with slow currents and adaptation. J. Comput. Neurosci. 37(1): 161-180 (2014)
[j1]
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Victor J. Barranca, Gregor Kovacic, Douglas Zhou, David Cai:
Sparsity and Compressed Coding in Sensory Systems. PLoS Comput. Biol. 10(8) (2014)

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