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ORCIDDaniel Tranchina
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2010 – 2019
- 2019
[j12]Rodoniki Athanasiadou, Benjamin Neymotin, Nathan Brandt
, Wei Wang, Lionel A. Christiaen, David Gresham, Daniel Tranchina:
A complete statistical model for calibration of RNA-seq counts using external spike-ins and maximum likelihood theory. PLoS Comput. Biol. 15(3) (2019)- 2014
- [j11]Sara Ashley Steele, Daniel Tranchina, John Rinzel:
An alternating renewal process describes the buildup of perceptual segregation. Frontiers Comput. Neurosci. 8: 166 (2014) - 2011
- [j10]Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli:
Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit. IEEE Trans. Signal Process. 59(10): 4735-4744 (2011) - [c2]Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli:
Sparse decomposition of transformation-invariant signals with continuous basis pursuit. ICASSP 2011: 4060-4063 - [c1]Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli:
A blind sparse deconvolution method for neural spike identification. NIPS 2011: 1440-1448
2000 – 2009
- 2009
- [j9]Damion Nero, Manpreet S. Katari, Jonathan Kelfer, Daniel Tranchina, Gloria M. Coruzzi:
In Silico Evaluation of Predicted Regulatory Interactions in Arabidopsis thaliana. BMC Bioinform. 10: 435 (2009) - [j8]Damion Nero, Gabriel Krouk, Daniel Tranchina, Gloria M. Coruzzi:
A system biology approach highlights a hormonal enhancer effect on regulation of genes in a nitrate responsive "biomodule". BMC Syst. Biol. 3: 59 (2009) - [j7]Cheng Ly, Daniel Tranchina:
Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach. Neural Comput. 21(2): 360-396 (2009) - [j6]Gabriel Krouk, Daniel Tranchina, Laurence Lejay, Alexis A. Cruikshank, Dennis E. Shasha, Gloria M. Coruzzi, Rodrigo A. Gutiérrez:
A Systems Approach Uncovers Restrictions for Signal Interactions Regulating Genome-wide Responses to Nutritional Cues in Arabidopsis. PLoS Comput. Biol. 5(3) (2009) - 2007
- [j5]Cheng Ly, Daniel Tranchina:
Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling. Neural Comput. 19(8): 2032-2092 (2007) - 2001
- [j4]E. Haskell, Duane Q. Nykamp, Daniel Tranchina:
A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics. Neurocomputing 38-40: 627-632 (2001) - [j3]Duane Q. Nykamp, Daniel Tranchina:
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses. Neural Comput. 13(3): 511-546 (2001) - 2000
- [j2]Duane Q. Nykamp, Daniel Tranchina:
Fast neural network simulations with population density methods. Neurocomputing 32-33: 487-492 (2000) - [j1]Duane Q. Nykamp, Daniel Tranchina:
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientation Tuning. J. Comput. Neurosci. 8(1): 19-50 (2000)
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