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Yashar Ahmadian - Publications

Affiliations: 
2007-2010 Statistics Columbia University, New York, NY 
 2011-2014 Neuroscience Columbia University, New York, NY 
 2015- Biology University of Oregon, Eugene, OR, United States 
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20 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Holt CJ, Miller KD, Ahmadian Y. The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillations. Plos Computational Biology. 20: e1012190. PMID 38935792 DOI: 10.1371/journal.pcbi.1012190  0.479
2023 Holt CJ, Miller KD, Ahmadian Y. The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillations. Biorxiv : the Preprint Server For Biology. PMID 37214812 DOI: 10.1101/2023.05.11.540442  0.479
2021 Ahmadian Y, Miller KD. What is the dynamical regime of cerebral cortex? Neuron. PMID 34464597 DOI: 10.1016/j.neuron.2021.07.031  0.492
2020 Lakunina AA, Nardoci MB, Ahmadian Y, Jaramillo S. Somatostatin-expressing interneurons in the auditory cortex mediate sustained suppression by spectral surround. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 32220950 DOI: 10.1523/Jneurosci.1735-19.2020  0.374
2019 Jercog PE, Ahmadian Y, Woodruff C, Deb-Sen R, Abbott LF, Kandel ER. Heading direction with respect to a reference point modulates place-cell activity. Nature Communications. 10: 2333. PMID 31133685 DOI: 10.1038/S41467-019-10139-7  0.351
2019 Arakaki T, Barello G, Ahmadian Y. Inferring neural circuit structure from datasets of heterogeneous tuning curves. Plos Computational Biology. 15: e1006816. PMID 31002660 DOI: 10.1371/Journal.Pcbi.1006816  0.453
2019 Iigaya K, Ahmadian Y, Sugrue LP, Corrado GS, Loewenstein Y, Newsome WT, Fusi S. Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales. Nature Communications. 10: 1466. PMID 30931937 DOI: 10.1038/S41467-019-09388-3  0.331
2018 Hennequin G, Ahmadian Y, Rubin DB, Lengyel M, Miller KD. The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability. Neuron. 98: 846-860.e5. PMID 29772203 DOI: 10.1016/J.Neuron.2018.04.017  0.631
2015 Ahmadian Y, Fumarola F, Miller KD. Properties of networks with partially structured and partially random connectivity. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 012820. PMID 25679669 DOI: 10.1103/Physreve.91.012820  0.476
2015 Ahmadian Y, Fumarola F, Miller KD. Properties of networks with partially structured and partially random connectivity Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 91. DOI: 10.1103/PhysRevE.91.012820  0.402
2013 Ahmadian Y, Rubin DB, Miller KD. Analysis of the stabilized supralinear network. Neural Computation. 25: 1994-2037. PMID 23663149 DOI: 10.1162/Neco_A_00472  0.626
2012 Vidne M, Ahmadian Y, Shlens J, Pillow JW, Kulkarni J, Litke AM, Chichilnisky EJ, Simoncelli E, Paninski L. Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. Journal of Computational Neuroscience. 33: 97-121. PMID 22203465 DOI: 10.1007/S10827-011-0376-2  0.673
2011 Pitkow X, Ahmadian Y, Miller KD. Learning unbelievable probabilities. Advances in Neural Information Processing Systems. 24: 738-746. PMID 28781497  0.631
2011 Ahmadian Y, Packer AM, Yuste R, Paninski L. Designing optimal stimuli to control neuronal spike timing. Journal of Neurophysiology. 106: 1038-53. PMID 21511704 DOI: 10.1152/Jn.00427.2010  0.616
2011 Ramirez AD, Ahmadian Y, Schumacher J, Schneider D, Woolley SM, Paninski L. Incorporating naturalistic correlation structure improves spectrogram reconstruction from neuronal activity in the songbird auditory midbrain. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 3828-42. PMID 21389238 DOI: 10.1523/Jneurosci.3256-10.2011  0.692
2011 Ahmadian Y, Pillow JW, Paninski L. Efficient Markov chain Monte Carlo methods for decoding neural spike trains. Neural Computation. 23: 46-96. PMID 20964539 DOI: 10.1162/Neco_A_00059  0.626
2011 Pillow JW, Ahmadian Y, Paninski L. Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains. Neural Computation. 23: 1-45. PMID 20964538 DOI: 10.1162/Neco_A_00058  0.639
2011 Pitkow X, Ahmadian Y, Miller KD. Learning unbelievable probabilities Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011.  0.625
2010 Paninski L, Ahmadian Y, Ferreira DG, Koyama S, Rahnama Rad K, Vidne M, Vogelstein J, Wu W. A new look at state-space models for neural data. Journal of Computational Neuroscience. 29: 107-26. PMID 19649698 DOI: 10.1007/S10827-009-0179-X  0.591
2009 Lalor EC, Ahmadian Y, Paninski L. The relationship between optimal and biologically plausible decoding of stimulus velocity in the retina. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 26: B25-42. PMID 19884914 DOI: 10.1364/Josaa.26.000B25  0.612
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