| Year |
Citation |
Score |
| 2023 |
Sanzeni A, Palmigiano A, Nguyen TH, Luo J, Nassi JJ, Reynolds JH, Histed MH, Miller KD, Brunel N. Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys. Neuron. PMID 37865082 DOI: 10.1016/j.neuron.2023.09.018 |
0.341 |
|
| 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 |
0.771 |
|
| 2021 |
Ahmadian Y, Miller KD. What is the dynamical regime of cerebral cortex? Neuron. PMID 34464597 DOI: 10.1016/j.neuron.2021.07.031 |
0.752 |
|
| 2020 |
Keller AJ, Dipoppa M, Roth MM, Caudill MS, Ingrosso A, Miller KD, Scanziani M. A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex. Neuron. PMID 33301712 DOI: 10.1016/j.neuron.2020.11.013 |
0.343 |
|
| 2018 |
Lindsay GW, Miller KD. How biological attention mechanisms improve task performance in a large-scale visual system model. Elife. 7. PMID 30272560 DOI: 10.7554/eLife.38105 |
0.378 |
|
| 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 |
0.796 |
|
| 2018 |
Lindsay GW, Miller KD. Author response: How biological attention mechanisms improve task performance in a large-scale visual system model Elife. DOI: 10.7554/Elife.38105.030 |
0.315 |
|
| 2018 |
Wei X, Miller K. Modelling network mechanisms for maintaining neural population homeostasis in visual adaptation Journal of Vision. 18: 752. DOI: 10.1167/18.10.752 |
0.345 |
|
| 2017 |
Liu LD, Miller KD, Pack CC. A unifying motif for spatial and directional surround suppression. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 29229704 DOI: 10.1523/JNEUROSCI.2386-17.2017 |
0.463 |
|
| 2016 |
Zhang W, Falkner AL, Krishna BS, Goldberg ME, Miller KD. Coupling between One-Dimensional Networks Reconciles Conflicting Dynamics in LIP and Reveals Its Recurrent Circuitry. Neuron. PMID 27989463 DOI: 10.1016/j.neuron.2016.11.023 |
0.372 |
|
| 2016 |
Kuchibhotla KV, Gill JV, Lindsay GW, Papadoyannis ES, Field RE, Sten TA, Miller KD, Froemke RC. Parallel processing by cortical inhibition enables context-dependent behavior. Nature Neuroscience. PMID 27798631 DOI: 10.1038/Nn.4436 |
0.438 |
|
| 2016 |
Miller KD. Canonical computations of cerebral cortex. Current Opinion in Neurobiology. 37: 75-84. PMID 26868041 DOI: 10.1016/j.conb.2016.01.008 |
0.397 |
|
| 2016 |
Murphy BK, Miller KD. Balanced Amplification: A New Mechanism of Selective Amplification of Neural Activity Patterns. Neuron 61, 635-648; February 26, 2009 Neuron. 89: 235. DOI: 10.1016/j.neuron.2015.12.010 |
0.645 |
|
| 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 |
0.703 |
|
| 2015 |
Ziskind AJ, Emondi AA, Kurgansky AV, Rebrik SP, Miller KD. Neurons in cat V1 show significant clustering by degree of tuning. Journal of Neurophysiology. 113: 2555-81. PMID 25652921 DOI: 10.1152/jn.00646.2014 |
0.688 |
|
| 2015 |
Rubin DB, Van Hooser SD, Miller KD. The stabilized supralinear network: a unifying circuit motif underlying multi-input integration in sensory cortex. Neuron. 85: 402-17. PMID 25611511 DOI: 10.1016/J.Neuron.2014.12.026 |
0.638 |
|
| 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 |
0.674 |
|
| 2014 |
Toyoizumi T, Kaneko M, Stryker MP, Miller KD. Modeling the dynamic interaction of Hebbian and homeostatic plasticity. Neuron. 84: 497-510. PMID 25374364 DOI: 10.1016/J.Neuron.2014.09.036 |
0.776 |
|
| 2014 |
Cimenser A, Miller KD. The effects of short-term synaptic depression at thalamocortical synapses on orientation tuning in cat V1. Plos One. 9: e106046. PMID 25157879 DOI: 10.1371/Journal.Pone.0106046 |
0.797 |
|
| 2014 |
Ramirez A, Pnevmatikakis EA, Merel J, Paninski L, Miller KD, Bruno RM. Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input. Nature Neuroscience. 17: 866-75. PMID 24836076 DOI: 10.1038/Nn.3720 |
0.679 |
|
| 2014 |
Toyoizumi T, Kaneko M, Stryker MP, Miller KD. 1SEP-06 Modeling the dynamical interaction of Hebbian and homeostatic plasticity(1SEP Cooperativity in shaping the nerve cell function,Symposium,The 52nd Annual Meeting of the Biophysical Society of Japan(BSJ2014)) Seibutsu Butsuri. 54: S124. DOI: 10.2142/Biophys.54.S124_6 |
0.751 |
|
| 2013 |
Toyoizumi T, Miyamoto H, Yazaki-Sugiyama Y, Atapour N, Hensch TK, Miller KD. A theory of the transition to critical period plasticity: inhibition selectively suppresses spontaneous activity. Neuron. 80: 51-63. PMID 24094102 DOI: 10.1016/J.Neuron.2013.07.022 |
0.757 |
|
| 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 |
0.785 |
|
| 2012 |
Miller KD, Fumarola F. Mathematical equivalence of two common forms of firing rate models of neural networks. Neural Computation. 24: 25-31. PMID 22023194 DOI: 10.1162/NECO_a_00221 |
0.323 |
|
| 2011 |
Toyoizumi T, Miyamoto H, Yazaki-Sugiyama Y, Hensch TK, Miller KD. Suppression of spontaneous activity by GABA circuit maturation is sufficient for developmental transitions in visual cortical plasticity Neuroscience Research. 71: e146. DOI: 10.1016/J.Neures.2011.07.631 |
0.732 |
|
| 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. |
0.736 |
|
| 2010 |
Miller KD. Neuroscience. π = visual cortex. Science (New York, N.Y.). 330: 1059-60. PMID 21097928 DOI: 10.1126/science.1198857 |
0.358 |
|
| 2009 |
Ozeki H, Finn IM, Schaffer ES, Miller KD, Ferster D. Inhibitory stabilization of the cortical network underlies visual surround suppression. Neuron. 62: 578-92. PMID 19477158 DOI: 10.1016/J.Neuron.2009.03.028 |
0.739 |
|
| 2009 |
Toyoizumi T, Miller KD. Equalization of ocular dominance columns induced by an activity-dependent learning rule and the maturation of inhibition. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 6514-25. PMID 19458222 DOI: 10.1523/Jneurosci.0492-08.2009 |
0.638 |
|
| 2009 |
Escola S, Eisele M, Miller K, Paninski L. Maximally reliable Markov chains under energy constraints. Neural Computation. 21: 1863-912. PMID 19292647 DOI: 10.1162/Neco.2009.08-08-843 |
0.537 |
|
| 2009 |
Murphy BK, Miller KD. Balanced amplification: a new mechanism of selective amplification of neural activity patterns. Neuron. 61: 635-48. PMID 19249282 DOI: 10.1016/J.Neuron.2009.02.005 |
0.75 |
|
| 2008 |
Ganguli S, Bisley JW, Roitman JD, Shadlen MN, Goldberg ME, Miller KD. One-dimensional dynamics of attention and decision making in LIP. Neuron. 58: 15-25. PMID 18400159 DOI: 10.1016/J.Neuron.2008.01.038 |
0.371 |
|
| 2008 |
Sharpee TO, Miller KD, Stryker MP. On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli. Journal of Neurophysiology. 99: 2496-509. PMID 18353910 DOI: 10.1152/jn.01397.2007 |
0.796 |
|
| 2007 |
Palmer SE, Miller KD. Effects of inhibitory gain and conductance fluctuations in a simple model for contrast-invariant orientation tuning in cat V1. Journal of Neurophysiology. 98: 63-78. PMID 17507506 DOI: 10.1152/jn.00152.2007 |
0.762 |
|
| 2006 |
Sharpee TO, Sugihara H, Kurgansky AV, Rebrik SP, Stryker MP, Miller KD. Adaptive filtering enhances information transmission in visual cortex. Nature. 439: 936-42. PMID 16495990 DOI: 10.1038/nature04519 |
0.791 |
|
| 2004 |
Sharpee T, Sugihara H, Kurgansky AV, Rebrik S, Stryker MP, Miller KD. Probing feature selectivity of neurons in primary visual cortex with natural stimuli. Proceedings of Spie--the International Society For Optical Engineering. 212-222. PMID 18633451 DOI: 10.1117/12.548513 |
0.788 |
|
| 2004 |
Lauritzen TZ, Miller KD. The contributions of inhibition and noise to responses in V1 Neurocomputing. 58: 901-907. DOI: 10.1016/j.neucom.2004.01.144 |
0.812 |
|
| 2003 |
Liu RC, Miller KD, Merzenich MM, Schreiner CE. Acoustic variability and distinguishability among mouse ultrasound vocalizations. The Journal of the Acoustical Society of America. 114: 3412-22. PMID 14714820 DOI: 10.1121/1.1623787 |
0.728 |
|
| 2003 |
Lauritzen TZ, Miller KD. Different roles for simple-cell and complex-cell inhibition in V1. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 23: 10201-13. PMID 14614078 DOI: 10.1523/Jneurosci.23-32-10201.2003 |
0.824 |
|
| 2003 |
Murphy BK, Miller KD. Multiplicative gain changes are induced by excitation or inhibition alone. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 23: 10040-51. PMID 14602818 DOI: 10.1523/Jneurosci.23-31-10040.2003 |
0.724 |
|
| 2003 |
Miller KD. Understanding layer 4 of the cortical circuit: a model based on cat V1. Cerebral Cortex (New York, N.Y. : 1991). 13: 73-82. PMID 12466218 DOI: 10.1093/Cercor/13.1.73 |
0.473 |
|
| 2002 |
Troyer TW, Krukowski AE, Miller KD. LGN input to simple cells and contrast-invariant orientation tuning: an analysis. Journal of Neurophysiology. 87: 2741-52. PMID 12037176 DOI: 10.1152/Jn.2002.87.6.2741 |
0.797 |
|
| 2002 |
Miller KD, Troyer TW. Neural noise can explain expansive, power-law nonlinearities in neural response functions. Journal of Neurophysiology. 87: 653-9. PMID 11826034 DOI: 10.1152/Jn.00425.2001 |
0.723 |
|
| 2002 |
Kayser AS, Miller KD. Opponent inhibition: a developmental model of layer 4 of the neocortical circuit. Neuron. 33: 131-42. PMID 11779486 DOI: 10.1016/S0896-6273(01)00570-0 |
0.655 |
|
| 2002 |
Lauritzen TZ, Miller KD. Local correlation-based ("push-pull") circuitry can account for non-linear summation of stimuli in a model of cat VI Neurocomputing. 44: 509-513. DOI: 10.1016/S0925-2312(02)00409-5 |
0.808 |
|
| 2001 |
Miller KD, Erwin E. Effects of monocular deprivation and reverse suture on orientation maps can be explained by activity-instructed development of geniculocortical connections. Visual Neuroscience. 18: 821-34. PMID 11925017 DOI: 10.1017/S0952523801185159 |
0.303 |
|
| 2001 |
Liu RC, Tzonev S, Rebrik S, Miller KD. Variability and information in a neural code of the cat lateral geniculate nucleus. Journal of Neurophysiology. 86: 2789-806. PMID 11731537 DOI: 10.1152/Jn.2001.86.6.2789 |
0.617 |
|
| 2001 |
Lauritzen TZ, Krukowski AE, Miller KD. Local correlation-based circuitry can account for responses to multi-grating stimuli in a model of cat V1. Journal of Neurophysiology. 86: 1803-15. PMID 11600641 DOI: 10.1152/Jn.2001.86.4.1803 |
0.816 |
|
| 2001 |
Miller KD, Pinto DJ, Simons DJ. Processing in layer 4 of the neocortical circuit: new insights from visual and somatosensory cortex. Current Opinion in Neurobiology. 11: 488-97. PMID 11502397 DOI: 10.1016/S0959-4388(00)00239-7 |
0.46 |
|
| 2001 |
Kayser A, Priebe NJ, Miller KD. Contrast-dependent nonlinearities arise locally in a model of contrast-invariant orientation tuning. Journal of Neurophysiology. 85: 2130-49. PMID 11353028 DOI: 10.1152/Jn.2001.85.5.2130 |
0.664 |
|
| 2001 |
Krukowski AE, Miller KD. Thalamocortical NMDA conductances and intracortical inhibition can explain cortical temporal tuning. Nature Neuroscience. 4: 424-30. PMID 11276234 DOI: 10.1038/86084 |
0.825 |
|
| 2001 |
Krukowski A, Miller K. Orientation response properties of inhibitory cells in a model of cat primary visual cortex Journal of Vision. 1: 434a. DOI: 10.1167/1.3.434 |
0.817 |
|
| 2001 |
Miller KD, Kayser AS. A model for the development of V1 columnar circuitry Journal of Vision. 1: 199a. DOI: 10.1167/1.3.199 |
0.53 |
|
| 2001 |
Krukowski AE, Troyer TW, Miller KD. A model of visual cortical temporal frequency tuning Neurocomputing. 38: 1379-1383. DOI: 10.1016/S0925-2312(01)00499-4 |
0.823 |
|
| 2001 |
Lauritzen TZ, Krukowski AE, Miller KD. A model of cross-orientation inhibition in cat primary visual cortex Neurocomputing. 38: 757-762. DOI: 10.1016/S0925-2312(01)00427-1 |
0.812 |
|
| 2000 |
Song S, Miller KD, Abbott LF. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature Neuroscience. 3: 919-26. PMID 10966623 DOI: 10.1038/78829 |
0.57 |
|
| 2000 |
Ferster D, Miller KD. Neural mechanisms of orientation selectivity in the visual cortex. Annual Review of Neuroscience. 23: 441-71. PMID 10845071 DOI: 10.1146/annurev.neuro.23.1.441 |
0.756 |
|
| 1999 |
Bush PC, Prince DA, Miller KD. Increased pyramidal excitability and NMDA conductance can explain posttraumatic epileptogenesis without disinhibition: a model. Journal of Neurophysiology. 82: 1748-58. PMID 10515964 DOI: 10.1152/Jn.1999.82.4.1748 |
0.426 |
|
| 1999 |
Miller KD, Erwin E, Kayser A. Is the development of orientation selectivity instructed by activity? Journal of Neurobiology. 41: 44-57. PMID 10504191 DOI: 10.1002/(SICI)1097-4695(199910)41:1<44::AID-NEU7>3.0.CO;2-V |
0.609 |
|
| 1999 |
Erwin E, Miller KD. The subregion correspondence model of binocular simple cells. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 19: 7212-29. PMID 10436074 DOI: 10.1523/Jneurosci.19-16-07212.1999 |
0.406 |
|
| 1998 |
Erwin E, Miller KD. Correlation-based development of ocularly matched orientation and ocular dominance maps: determination of required input activities. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 18: 9870-95. PMID 9822745 DOI: 10.1523/Jneurosci.18-23-09870.1998 |
0.381 |
|
| 1998 |
Troyer TW, Krukowski AE, Priebe NJ, Miller KD. Contrast-invariant orientation tuning in cat visual cortex: thalamocortical input tuning and correlation-based intracortical connectivity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 18: 5908-27. PMID 9671678 DOI: 10.1523/Jneurosci.18-15-05908.1998 |
0.829 |
|
| 1998 |
Miller KD. Equivalence of a sprouting-and-retraction model and correlation-based plasticity models of neural development. Neural Computation. 10: 529-47. PMID 9527832 DOI: 10.1162/089976698300017647 |
0.336 |
|
| 1997 |
Wimbauer S, Wenisch OG, van Hemmen JL, Miller KD. Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis. Biological Cybernetics. 77: 463-77. PMID 9433757 DOI: 10.1007/S004220050406 |
0.415 |
|
| 1997 |
Wimbauer S, Wenisch OG, Miller KD, van Hemmen JL. Development of spatiotemporal receptive fields of simple cells: I. Model formulation. Biological Cybernetics. 77: 453-61. PMID 9433756 DOI: 10.1007/S004220050405 |
0.471 |
|
| 1997 |
Troyer TW, Miller KD. Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. Neural Computation. 9: 971-83. PMID 9188190 DOI: 10.1162/Neco.1997.9.5.971 |
0.737 |
|
| 1994 |
Miller KD. A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 14: 409-41. PMID 8283248 DOI: 10.1523/Jneurosci.14-01-00409.1994 |
0.49 |
|
| 1994 |
Miller KD. Models of activity-dependent neural development. Progress in Brain Research. 102: 303-18. PMID 7800821 DOI: 10.1016/S0079-6123(08)60548-8 |
0.439 |
|
| 1994 |
Miller KD, MacKay DJC. The Role of Constraints in Hebbian Learning Neural Computation. 6: 100-126. DOI: 10.1162/neco.1994.6.1.100 |
0.375 |
|
| 1992 |
Miller KD. Development of orientation columns via competition between ON- and OFF-center inputs. Neuroreport. 3: 73-6. PMID 1611038 DOI: 10.1097/00001756-199201000-00019 |
0.473 |
|
| 1990 |
Stryker MP, Chapman B, Miller KD, Zahs KR. Experimental and theoretical studies of the organization of afferents to single orientation columns in visual cortex. Cold Spring Harbor Symposia On Quantitative Biology. 55: 515-27. PMID 2132835 DOI: 10.1101/Sqb.1990.055.01.050 |
0.792 |
|
| 1990 |
Miller KD. Derivation of Linear Hebbian Equations from a Nonlinear Hebbian Model of Synaptic Plasticity Neural Computation. 2: 321-333. DOI: 10.1162/neco.1990.2.3.321 |
0.318 |
|
| 1990 |
Mackay DJC, Miller KD. Analysis of linsker's application of hebbian rules to linear networks Network: Computation in Neural Systems. 1: 257-297. DOI: 10.1088/0954-898X_1_3_001 |
0.357 |
|
| 1989 |
Miller KD, Keller JB, Stryker MP. Ocular dominance column development: analysis and simulation. Science (New York, N.Y.). 245: 605-15. PMID 2762813 DOI: 10.1126/Science.2762813 |
0.727 |
|
| 1989 |
Miller KD, Chapman B, Stryker MP. Visual responses in adult cat visual cortex depend on N-methyl-D-aspartate receptors. Proceedings of the National Academy of Sciences of the United States of America. 86: 5183-7. PMID 2567996 DOI: 10.1073/Pnas.86.13.5183 |
0.772 |
|
| 1988 |
Miller KD, Stryker MP, Keller JB. Network model of ocular dominance column formation: Computational results Neural Networks. 1: 267. DOI: 10.1016/0893-6080(88)90301-2 |
0.669 |
|
| 1988 |
Miller KD, Keller JB, Stryker MP. Network model of ocular dominance column formation: Analytical results Neural Networks. 1: 266. DOI: 10.1016/0893-6080(88)90300-0 |
0.67 |
|
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