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Neural Computation
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June 19, 2007
Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling
Cheng Ly, Daniel Tranchina
Neural Computation
|
May 12, 2009
Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach
Cheng Ly, Daniel Tranchina
IEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society
|
December 20, 2013
Recovery of sparse translation-invariant signals with continuous basis pursuit
Chaitanya Ekanadham, Daniel Tranchina, Eero Simoncelli
Biorxiv : the Preprint Server for Biology
|
August 14, 2023
Parallel proteomics and phosphoproteomics defines starvation signal specific processes in cell quiescence
Siyu Sun, Daniel Tranchina, David Gresham
Network (Bristol, England)
|
December 13, 2006
Population density methods for stochastic neurons with realistic synaptic kinetics: firing rate dynamics and fast computational methods
Felix Apfaltrer, Cheng Ly, Daniel Tranchina
Molecular Biology and Evolution
|
June 16, 2021
Fluctuating Environments Maintain Genetic Diversity through Neutral Fitness Effects and Balancing Selection
Farah Abdul-Rahman, Daniel Tranchina, David Gresham
Journal of Neuroscience Methods
|
November 5, 2013
A unified framework and method for automatic neural spike identification
Chaitanya Ekanadham, Daniel Tranchina, Eero P Simoncelli
Frontiers in Computational Neuroscience
|
January 27, 2015
An alternating renewal process describes the buildup of perceptual segregation
Sara A Steele, Daniel Tranchina, John Rinzel
The Journal of Physiology
|
October 15, 2005
A comparison of release kinetics and glutamate receptor properties in shaping rod-cone differences in EPSC kinetics in the salamander retina
Lucia Cadetti, Daniel Tranchina, Wallace B Thoreson
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
September 26, 2012
Population density approach for discrete mRNA distributions in generalized switching models for stochastic gene expression
Adam R Stinchcombe, Charles S Peskin, Daniel Tranchina
Page
of 3
Search research articles
Search
Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
Neural Computation
|
June 19, 2007
Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling
Cheng Ly, Daniel Tranchina
Neural Computation
|
May 12, 2009
Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach
Cheng Ly, Daniel Tranchina
IEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society
|
December 20, 2013
Recovery of sparse translation-invariant signals with continuous basis pursuit
Chaitanya Ekanadham, Daniel Tranchina, Eero Simoncelli
Biorxiv : the Preprint Server for Biology
|
August 14, 2023
Parallel proteomics and phosphoproteomics defines starvation signal specific processes in cell quiescence
Siyu Sun, Daniel Tranchina, David Gresham
Network (Bristol, England)
|
December 13, 2006
Population density methods for stochastic neurons with realistic synaptic kinetics: firing rate dynamics and fast computational methods
Felix Apfaltrer, Cheng Ly, Daniel Tranchina
Molecular Biology and Evolution
|
June 16, 2021
Fluctuating Environments Maintain Genetic Diversity through Neutral Fitness Effects and Balancing Selection
Farah Abdul-Rahman, Daniel Tranchina, David Gresham
Journal of Neuroscience Methods
|
November 5, 2013
A unified framework and method for automatic neural spike identification
Chaitanya Ekanadham, Daniel Tranchina, Eero P Simoncelli
Frontiers in Computational Neuroscience
|
January 27, 2015
An alternating renewal process describes the buildup of perceptual segregation
Sara A Steele, Daniel Tranchina, John Rinzel
The Journal of Physiology
|
October 15, 2005
A comparison of release kinetics and glutamate receptor properties in shaping rod-cone differences in EPSC kinetics in the salamander retina
Lucia Cadetti, Daniel Tranchina, Wallace B Thoreson
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
September 26, 2012
Population density approach for discrete mRNA distributions in generalized switching models for stochastic gene expression
Adam R Stinchcombe, Charles S Peskin, Daniel Tranchina
Page
of 3