Nestor Caticha

发表

Backward renormalization-group inference of cortical dipole sources and neural connectivity efficacy.

Selene da Rocha Amaral, Luiz A Baccalá, Leonardo S Barbosa, 2017, Physical review. E.

Trust, law and ideology in a NN agent model of the US Appellate Courts

Nestor Caticha, Felippe Alves, 2019, ESANN.

Agent-Based Social Psychology: from Neurocognitive Processes to Social Data

Nestor Caticha, Renato Vicente, N. Caticha, 2010, Adv. Complex Syst..

Noise robustness in multilayer neural networks

Michael Biehl, Nestor Caticha, Mauro Copelli, 1997 .

The evolution of learning systems: to Bayes or not to be

Nestor Caticha, Juan P. Neirotti, 2006 .

Multigrid priors for a Bayesian approach to fMRI

Nestor Caticha, Selene da Rocha Amaral, Said R. Rabbani, 2004, NeuroImage.

Inference From Aging Information

Nestor Caticha, Evaldo Araújo de Oliveira, N. Caticha, 2010, IEEE Transactions on Neural Networks.

Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach

Nestor Caticha, Renato Vicente, Osame Kinouchi, 2004, Machine Learning.

Entropic Dynamics in Neural Networks, the Renormalization Group and the Hamilton-Jacobi-Bellman Equation

Nestor Caticha, N. Caticha, 2020, Entropy.

Statistical Mechanics of On-line Learning

Michael Biehl, Nestor Caticha, Peter Riegler, 2009, Similarity-Based Clustering.

Phase transition from egalitarian to hierarchical societies driven by competition between cognitive and social constraints pdf

Nestor Caticha, Renato Vicente, Rafael Calsaverini, 2016, ArXiv.

Universal asymptotics in committee machines with tree architecture

Nestor Caticha, Mauro Copelli, 1999 .

Dynamics of the evolution of learning algorithms by selection.

Nestor Caticha, Juan Pablo Neirotti, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

BOLD response analysis by iterated local multigrid priors

Selene da Rocha Amaral, Nestor Caticha, Said R. Rabbani, 2007, NeuroImage.

Functional optimization of online algorithms in multilayer neural networks

Nestor Caticha, Renato Vicente, 1997 .

Handbook of Brain Theory and Neural Networks (second editon)

Michael Biehl, Nestor Caticha, 2002 .

Statistical physics of learning and inference

Thomas Villmann, Michael Biehl, Manfred Opper, 2019, ESANN.

Computational Capacity of an Odorant Discriminator: The Linear Separability of Curves

Doron Lancet, Eytan Domany, Nestor Caticha, 2000, Neural Computation.

Moral foundations in an interacting neural networks society pdf

Alex K. Susemihl, Nestor Caticha, Renato Vicente, 2013, ArXiv.

Supervised Variational Relevance Learning, An Analytic Geometric Feature Selection with Applications to Omic Datasets

Nestor Caticha, Vitor B. P. Leite, Marcelo Boareto, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

The statistical physics of learning and gen-eralization

Michael Biehl, Nestor Caticha, 2003 .

Source Localization by Entropic Inference and Backward Renormalization Group Priors

Nestor Caticha, N. Caticha, 2015, Entropy.

Relationship between global structural parameters and Enzyme Commission hierarchy: Implications for function prediction

Nestor Caticha, Vitor B. P. Leite, Michel E. B. Yamagishi, 2012, Comput. Biol. Chem..

Bayesian online algorithms for learning in discrete hidden Markov models

Nestor Caticha, Roberto C. Alamino, 2007 .

Superparamagnetic segmentation by excitable neural systems.

Nestor Caticha, Juan P Neirotti, Samuel M Kurcbart, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

LEARNING A SPIN GLASS : DETERMINING HAMILTONIANS FROM METASTABLE STATES

Nestor Caticha, Osame Kinouchi, Silvia Kuva, 1998 .

Opinion dynamics of learning agents: does seeking consensus lead to disagreement?

Nestor Caticha, Renato Vicente, N. Caticha, 2008, 0811.2099.

MaxEnt queries and sequential sampling

Nestor Caticha, Peter Riegler, 2001 .

Biased learning in Boolean perceptrons

Nestor Caticha, Osame Kinouchi, 1992 .

Computational neurobiology of the flash-lag effect

Nestor Caticha, N. Caticha, M. Baldo, 2005, Vision Research.

Multigrid Priors for fMRI time series analysis

Selene da Rocha Amaral, Nestor Caticha, Said R. Rabbani, 2004 .