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Network: Computation in Neural Systems Volume 20, 2009 - Issue 2
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Original

Estimating linear–nonlinear models using Rényi divergences

Minjoon Kouh The Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92093; The Center for Theoretical Biological Physics, University of California, San Diego, La Jolla, CA, USA
&
Tatyana O. Sharpee The Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92093; The Center for Theoretical Biological Physics, University of California, San Diego, La Jolla, CA, USACorrespondence[email protected]
Pages 49-68 | Received 12 Feb 2009, Accepted 07 Apr 2009, Published online: 13 Aug 2009

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Ryan J. Rowekamp & Tatyana O. Sharpee. (2011) Analyzing multicomponent receptive fields from neural responses to natural stimuli. Network: Computation in Neural Systems 22:1-4, pages 45-73.
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Ali Almasi, Hamish Meffin, Shaun L Cloherty, Yan Wong, Molis Yunzab & Michael R Ibbotson. (2020) Mechanisms of Feature Selectivity and Invariance in Primary Visual Cortex. Cerebral Cortex 30:9, pages 5067-5087.
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Daniel A. Butts. (2019) Data-Driven Approaches to Understanding Visual Neuron Activity. Annual Review of Vision Science 5:1, pages 451-477.
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Nimet Korkmaz, İsmail Öztürk, Adem Kalinli & Recai Kiliç. (2018) A Comparative Study on Determining Nonlinear Function Parameters of the Izhikevich Neuron Model. Journal of Circuits, Systems and Computers 27:10, pages 1850164.
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Craig A. Atencio & Tatyana O. Sharpee. (2017) Multidimensional receptive field processing by cat primary auditory cortical neurons. Neuroscience 359, pages 130-141.
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Nicol S. Harper, Oliver Schoppe, Ben D. B. Willmore, Zhanfeng Cui, Jan W. H. Schnupp & Andrew J. King. (2016) Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical Neurons. PLOS Computational Biology 12:11, pages e1005113.
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Gurinder S. Atwal & Justin B. Kinney. (2015) Learning Quantitative Sequence–Function Relationships from Massively Parallel Experiments. Journal of Statistical Physics 162:5, pages 1203-1243.
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Matthew L. Katz, Tim J. Viney & Konstantin Nikolic. (2016) Receptive Field Vectors of Genetically-Identified Retinal Ganglion Cells Reveal Cell-Type-Dependent Visual Functions. PLOS ONE 11:2, pages e0147738.
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Ross S. Williamson, Maneesh Sahani & Jonathan W. Pillow. (2015) The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction. PLOS Computational Biology 11:4, pages e1004141.
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James M. McFarland, Adrian G. Bondy, Bruce G. Cumming & Daniel A. Butts. (2014) High-resolution eye tracking using V1 neuron activity. Nature Communications 5:1.
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Arne F. Meyer, Jan-Philipp Diepenbrock, Max F. K. Happel, Frank W. Ohl & Jörn Anemüller. (2014) Discriminative Learning of Receptive Fields from Responses to Non-Gaussian Stimulus Ensembles. PLoS ONE 9:4, pages e93062.
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Justin B. KinneyGurinder S. Atwal. (2014) Parametric Inference in the Large Data Limit Using Maximally Informative Models. Neural Computation 26:4, pages 637-653.
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Sepp Kollmorgen & Richard H. R. Hahnloser. (2014) Dynamic Alignment Models for Neural Coding. PLoS Computational Biology 10:3, pages e1003508.
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Johnatan Aljadeff, Ronen Segev, Michael J. Berry & Tatyana O. Sharpee. (2013) Spike Triggered Covariance in Strongly Correlated Gaussian Stimuli. PLoS Computational Biology 9:9, pages e1003206.
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James M. McFarland, Yuwei Cui & Daniel A. Butts. (2013) Inferring Nonlinear Neuronal Computation Based on Physiologically Plausible Inputs. PLoS Computational Biology 9:7, pages e1003143.
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Tatyana O. Sharpee, Minjoon Kouh & John H. Reynolds. (2013) Trade-off between curvature tuning and position invariance in visual area V4. Proceedings of the National Academy of Sciences 110:28, pages 11618-11623.
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Tatyana O. Sharpee. (2013) Computational Identification of Receptive Fields. Annual Review of Neuroscience 36:1, pages 103-120.
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Kanaka RajanOlivier Marre & Gašper Tkačik. (2013) Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli. Neural Computation 25:7, pages 1661-1692.
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Michael EickenbergRyan J. RowekampMinjoon KouhTatyana O. Sharpee. (2012) Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions. Neural Computation 24:9, pages 2384-2421.
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Nadja Schinkel-Bielefeld, Stephen V. David, Shihab A. Shamma & Daniel A. Butts. (2012) Inferring the role of inhibition in auditory processing of complex natural stimuli. Journal of Neurophysiology 107:12, pages 3296-3307.
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Tatyana O. Sharpee, Katherine I. Nagel & Allison J. Doupe. (2011) Two-dimensional adaptation in the auditory forebrain. Journal of Neurophysiology 106:4, pages 1841-1861.
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Daniel A. Butts, Chong Weng, Jianzhong Jin, Jose-Manuel Alonso & Liam Paninski. (2011) Temporal Precision in the Visual Pathway through the Interplay of Excitation and Stimulus-Driven Suppression. The Journal of Neuroscience 31:31, pages 11313-11327.
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Ana Calabrese, Joseph W. Schumacher, David M. Schneider, Liam Paninski & Sarah M. N. Woolley. (2011) A Generalized Linear Model for Estimating Spectrotemporal Receptive Fields from Responses to Natural Sounds. PLoS ONE 6:1, pages e16104.
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