Ruben Coen Cagli

Affiliations:
  • NeuroComp Lab, Yeshiva University


According to our database1, Ruben Coen Cagli authored at least 13 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Flexibly regularized mixture models and application to image segmentation.
Neural Networks, 2022

2021
Investigating the representation of uncertainty in neuronal circuits.
PLoS Comput. Biol., 2021

2020
Texture Interpolation for Probing Visual Perception.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations.
CoRR, 2019

Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis.
CoRR, 2019

2018
An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images.
CoRR, 2018

2015
Measuring Fisher Information Accurately in Correlated Neural Populations.
PLoS Comput. Biol., 2015

2012
Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics.
PLoS Comput. Biol., 2012

2009
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
What the Draughtsman's Hand Tells the Draughtsman's Eye: a Sensorimotor Account of Drawing.
Int. J. Pattern Recognit. Artif. Intell., 2008

Sensorimotor coupling via dynamic bayesian networks.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007
<i>DrawBot</i>: a bio-inspired robotic portraitist.
Digit. Creativity, 2007

The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing.
Proceedings of the Advances in Brain, 2007


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