Nestor Felipe Caticha Alfonso

• Multigrid priors for a bayesian approach to fmri., AR.EXT
• Optimal algorithms for on-line learning., AR.EXT
• Dreaming in analog associative memories., AR.EXT

• Abstract

  I. We introduce a new type of interaction between agents modelled by attractor neural networks (ANN). We study analytically the influence on the critical capacity of the interaction with another ANN. The two agents, which receive the same amount of information, undergo an different periods of an unlearning (dream) dynamics, which partially eliminates spurious minima of the Hamiltonian.…

  Topics in neural networks: I. interaction between attractor neural networks. II. learning dynamics in deep learning architectures, BP.MS

• Abstract

  We study polarization and the formation of groups holding antagonistic opinions on a set of issues in the context of agent-based models where the agents are neural network classifiers. Agents exchange binary opinions about multidimensional issues. Several ways may drive polarization and here it is driven by adaptive affective distrust and the inclusion of irrelevant characteristics to the…

  Discrimination in societies of neural networks, BP.IC

• Abstract

  The student will participate in the research program that deals with neural networks learning and the construction and characterization of agents that process information using neural networks. The theoretical bases are Probability Theory, Statistical Mechanics, Information Theory and Machine Learning. The methods include analytical and computational techniques. Societies of agents will b…

  Polarization in agent based models: learning in neural networks and emerging collective properties, BP.IC

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