Publications by A. M. Chagas
Journal Articles
Z. Zhao,
D. Klindt,
A. M. Chagas,
K. P. Szatko,
L. Rogerson,
D. Protti,
C. Behrens,
D. Dalkara,
et al.
The temporal structure of the inner retina at a single glance
Scientific Reports, 2020
#retina, #system identification, #batch effects
URL, BibTex
The temporal structure of the inner retina at a single glance
Scientific Reports, 2020
#retina, #system identification, #batch effects
URL, BibTex
A. M. Chagas,
L. Theis,
B. Sengupta,
M. Stüttgen,
M. Bethge, and
C. Schwarz
Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents
Frontiers in Neural Circuits, 7(190), 2013
URL, PDF, BibTex
Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents
Frontiers in Neural Circuits, 7(190), 2013
URL, PDF, BibTex
L. Theis,
A. M. Chagas,
D. Arnstein,
C. Schwarz, and
M. Bethge
Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification
PLoS Computational Biology, 9(11), 2013
#generalized linear model, #spiking neurons, #mixture models
Code, URL, DOI, PDF, BibTex
Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification
PLoS Computational Biology, 9(11), 2013
#generalized linear model, #spiking neurons, #mixture models
Code, URL, DOI, PDF, BibTex
Abstracts
L. Theis,
D. Arnstein,
A. M. Chagas,
C. Schwarz, and
M. Bethge
Beyond GLMs: a generative mixture modeling approach to neural system identification
Computational and Systems Neuroscience, 2013
#generalized linear model, #spiking neurons, #mixture models
Poster, BibTex
Beyond GLMs: a generative mixture modeling approach to neural system identification
Computational and Systems Neuroscience, 2013
#generalized linear model, #spiking neurons, #mixture models
Poster, BibTex
L. Theis,
D. Arnstein,
A. M. Chagas,
C. Schwarz, and
M. Bethge
Beyond GLMs: a generative mixture modeling approach to neural system identification
Frontiers in Computational Neuroscience, 2012
#generalized linear model, #spiking neurons, #mixture models
URL, DOI, Poster, BibTex
Beyond GLMs: a generative mixture modeling approach to neural system identification
Frontiers in Computational Neuroscience, 2012
#generalized linear model, #spiking neurons, #mixture models
URL, DOI, Poster, BibTex