Stochastic mRNA synthesis in mammalian cells A Raj, CS Peskin, D Tranchina, DY Vargas, S Tyagi PLoS biology 4 (10), e309, 2006 | 2003 | 2006 |
A population density approach that facilitates large-scale modeling of neural networks: Analysis and an application to orientation tuning DQ Nykamp, D Tranchina Journal of computational neuroscience 8, 19-50, 2000 | 310 | 2000 |
Recovery of sparse translation-invariant signals with continuous basis pursuit C Ekanadham, D Tranchina, E Simoncelli Signal Processing, IEEE Transactions on 59 (10), 4735-4744, 2011 | 289 | 2011 |
A model for the polarization of neurons by extrinsically applied electric fields D Tranchina, C Nicholson Biophysical journal 50 (6), 1139-1156, 1986 | 273 | 1986 |
Light adaptation in the primate retina: analysis of changes in gain and dynamics of monkey retinal ganglion cells K Purpura, D Tranchina, E Kaplan, RM Shapley Visual neuroscience 4 (1), 75-93, 1990 | 258 | 1990 |
The receptive field organization of X-cells in the cat: spatiotemporal coupling and asymmetry S Dawis, R Shapley, E Kaplan, D Tranchina Vision research 24 (6), 549-564, 1984 | 168 | 1984 |
Hypermutation in shark immunoglobulin light chain genes results in contiguous substitutions SS Lee, D Tranchina, Y Ohta, MF Flajnik, E Hsu Immunity 16 (4), 571-582, 2002 | 118 | 2002 |
Toward a unified model of vertebrate rod phototransduction RD Hamer, SC Nicholas, D Tranchina, TD Lamb, JLP Jarvinen Visual neuroscience 22 (4), 417-436, 2005 | 115 | 2005 |
A unified framework and method for automatic neural spike identification C Ekanadham, D Tranchina, EP Simoncelli Journal of neuroscience methods 222, 47-55, 2014 | 113 | 2014 |
Population density methods forlarge-scale modelling of neuronal networks with realisticsynaptic kinetics: cutting the dimension down to size E Haskell, DQ Nykamp, D Tranchina Network: Computation in Neural Systems 12 (2), 141, 2001 | 112 | 2001 |
Multiple steps of phosphorylation of activated rhodopsin can account for the reproducibility of vertebrate rod single-photon responses RD Hamer, SC Nicholas, D Tranchina, PA Liebman, TD Lamb The Journal of general physiology 122 (4), 419-444, 2003 | 111 | 2003 |
Gain of rod to horizontal cell synaptic transfer: relation to glutamate release and a dihydropyridine-sensitive calcium current P Witkovsky, Y Schmitz, A Akopian, D Krizaj, D Tranchina Journal of Neuroscience 17 (19), 7297-7306, 1997 | 107 | 1997 |
Retinal light adaptation—evidence for a feedback mechanism D Tranchina, J Gordon, RM Shapley Nature 310 (5975), 314-316, 1984 | 107 | 1984 |
Plasticity regulators modulate specific root traits in discrete nitrogen environments ML Gifford, JA Banta, MS Katari, J Hulsmans, L Chen, D Ristova, ... PLoS genetics 9 (9), e1003760, 2013 | 103 | 2013 |
Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling C Ly, D Tranchina Neural computation 19 (8), 2032-2092, 2007 | 100 | 2007 |
Photoreceptor to horizontal cell synaptic transfer in the Xenopus retina: modulation by dopamine ligands and a circuit model for interactions of rod and cone inputs P Witkovsky, S Stone, D Tranchina Journal of Neurophysiology 62 (4), 864-881, 1989 | 89 | 1989 |
A population density approach that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses DQ Nykamp, D Tranchina Neural computation 13 (3), 511-546, 2001 | 78 | 2001 |
Channel modulation and the mechanism of light adaptation in mouse rods J Chen, ML Woodruff, T Wang, FA Concepcion, D Tranchina, GL Fain Journal of Neuroscience 30 (48), 16232-16240, 2010 | 75 | 2010 |
A comparison of release kinetics and glutamate receptor properties in shaping rod–cone differences in EPSC kinetics in the salamander retina L Cadetti, D Tranchina, WB Thoreson The Journal of physiology 569 (3), 773-788, 2005 | 73 | 2005 |
A systems approach uncovers restrictions for signal interactions regulating genome-wide responses to nutritional cues in Arabidopsis G Krouk, D Tranchina, L Lejay, AA Cruikshank, D Shasha, GM Coruzzi, ... PLoS computational biology 5 (3), e1000326, 2009 | 69 | 2009 |