Daniel Tranchina
Daniel Tranchina
Professor of Biology, Mathematics and Neural Science
Verified email at
Cited by
Cited by
Stochastic mRNA synthesis in mammalian cells
A Raj, CS Peskin, D Tranchina, DY Vargas, S Tyagi
PLoS biology 4 (10), e309, 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
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
A model for the polarization of neurons by extrinsically applied electric fields
D Tranchina, C Nicholson
Biophysical journal 50 (6), 1139-1156, 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
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
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
A unified framework and method for automatic neural spike identification
C Ekanadham, D Tranchina, EP Simoncelli
Journal of neuroscience methods 222, 47-55, 2014
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
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
Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size
E Haskell, DQ Nykamp, D Tranchina
Network: Computation in Neural Systems 12 (2), 141, 2001
Retinal light adaptation—evidence for a feedback mechanism
D Tranchina, J Gordon, RM Shapley
Nature 310 (5975), 314-316, 1984
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
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
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
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
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
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
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
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
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