Daniel Tranchina

Publication Activity (10 Years)

Years Active: 2000-2019
Publications (10 Years): 1

Top Topics

Maximum Likelihood

Evolutionary Algorithm

Statistical Models

Top Venues

Frontiers Comput. Neurosci.

PLoS Comput. Biol.

Publications

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)
Sara Ashley Steele, Daniel Tranchina, John Rinzel
An alternating renewal process describes the buildup of perceptual segregation. Frontiers Comput. Neurosci. 8 (2014)
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
A blind sparse deconvolution method for neural spike identification. NIPS (2011)
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit. IEEE Trans. Signal Process. 59 (10) (2011)
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
Sparse decomposition of transformation-invariant signals with continuous basis pursuit. ICASSP (2011)
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)
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 (2009)
Cheng Ly, Daniel Tranchina
Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach. Neural Comput. 21 (2) (2009)
Damion Nero, Manpreet S. Katari, Jonathan Kelfer, Daniel Tranchina, Gloria M. Coruzzi
. BMC Bioinform. 10 (2009)
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) (2007)
E. Haskell, Duane Q. Nykamp, Daniel Tranchina
A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics. Neurocomputing (2001)
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) (2001)
Duane Q. Nykamp, Daniel Tranchina
Fast neural network simulations with population density methods. Neurocomputing (2000)
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) (2000)