Daniel Tranchina

13 papers Misc 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2019 J jnl
A complete statistical model for calibration of RNA-seq counts using external spike-ins and maximum likelihood theory.
PLoS Comput. Biol.
Rodoniki Athanasiadou, Benjamin Neymotin, Nathan Brandt, Wei Wang, Lionel A. Christiaen, David Gresham, Daniel Tranchina
2014 J jnl
An alternating renewal process describes the buildup of perceptual segregation.
Frontiers Comput. Neurosci.
Sara Ashley Steele, Daniel Tranchina, John Rinzel
2011 — conf
A blind sparse deconvolution method for neural spike identification.
NIPS
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
2011 J jnl
Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit.
IEEE Trans. Signal Process.
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
2011 Misc conf
Sparse decomposition of transformation-invariant signals with continuous basis pursuit.
ICASSP
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
2009 J jnl
A Systems Approach Uncovers Restrictions for Signal Interactions Regulating Genome-wide Responses to Nutritional Cues in Arabidopsis.
PLoS Comput. Biol.
Gabriel Krouk, Daniel Tranchina, Laurence Lejay, Alexis A. Cruikshank, Dennis E. Shasha, Gloria M. Coruzzi, Rodrigo A. Gutiérrez
2009 J jnl
A system biology approach highlights a hormonal enhancer effect on regulation of genes in a nitrate responsive "biomodule".
BMC Syst. Biol.
Damion Nero, Gabriel Krouk, Daniel Tranchina, Gloria M. Coruzzi
2009 J jnl
Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach.
Neural Comput.
Cheng Ly, Daniel Tranchina
2007 J jnl
Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling.
Neural Comput.
Cheng Ly, Daniel Tranchina
2001 J jnl
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses.
Neural Comput.
Duane Q. Nykamp, Daniel Tranchina
2001 J jnl
A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics.
Neurocomputing
E. Haskell, Duane Q. Nykamp, Daniel Tranchina
2000 J jnl
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientation Tuning.
J. Comput. Neurosci.
Duane Q. Nykamp, Daniel Tranchina
2000 J jnl
Fast neural network simulations with population density methods.
Neurocomputing
Duane Q. Nykamp, Daniel Tranchina