'Prediction errors' presentation slideshows

Chapter 7

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Model Based Techniques for DATA RELIABILITY in Wireless Sensor Networks.

Model Based Techniques for DATA RELIABILITY in Wireless Sensor Networks. - Hambi. Problem Definition. Assuring the reliability of the data is going to be one of the major design challenges of future sensor networks

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Global plan

Global plan. Reinforcement learning I: prediction classical conditioning dopamine Reinforcement learning II: dynamic programming; action selection Pavlovian misbehaviour vigor Chapter 9 of Theoretical Neuroscience. (thanks to Yael Niv ). Ethology optimality appropriateness

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Abstract

Opening Symposium of the Translational Neuromodeling Unit Zurich, 18-20 September 2013. The computational anatomy of psychosis Karl Friston. Abstract

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Free Energy Workshop - 28th of October:

Free Energy Workshop - 28th of October: From the free energy principle to experimental neuroscience, and back The Bayesian brain, surprise and free-energy Karl Friston, Wellcome Centre for Neuroimaging, UCL. Abstract.

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Free energy and active inference Karl J. Friston, University College London

Free energy and active inference Karl J. Friston, University College London.

308 views • 30 slides

Model assessment and cross-validation - overview

Model assessment and cross-validation - overview. Bias-variance decomposition and tradeoff Analytical validation methods (AIC, BIC) Resampling methods (cross-validation, bootstrap methods). Bias, variance and model complexity. Bias, variance decomposition, and tradeoff.

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Future improvements in EOP prediction

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Abstract

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Abstract

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Chapter 7

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Free energy and life as we know it Karl Friston, University College London

Experimental Chaos and Complexity Conference 2014. Free energy and life as we know it Karl Friston, University College London.

503 views • 25 slides

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Reversible Data Hiding Based on Two-Dimensional Prediction Errors

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Free energy and active inference Karl Friston

3rd IMPRS NeuroCom Summer School, Leipzig, Germany 10 - 12 July 2013. Free energy and active inference Karl Friston. Abstract

477 views • 19 slides

A View from the Bottom

A View from the Bottom. Peter Dayan Gatsby Computational Neuroscience Unit. Neural Decision Making. bewilderingly vast topic models playing a central role so beware of self-confirmation + battles. Ethology/Economics(?) optimality

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Introduction: What does phasic Dopamine encode ?

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