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Encyclopedia:Models of brain disorders

The Encyclopedia of Computational Models of Brain Disorders aims to provide succinct and distilled review articles on various computational and mathematical approaches to brain disorders.

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Introduction

Representing the World in the Brain

In previous studies, a simple robot equipped with a biomimetic tactile sensor and operated according to Bayesian Exploration performed in a manner similar to and actually better than humans on a texture identification task. The biomimetic design of this mechatronic system may provide insights into the neuronal basis of biological action and perception.  Frontiers in Neuroscience October 2014 by Gerald E. Loeb and Jeremy A. Fishel

Abstract

Theories of perception seek to explain how sensory data are processed to identify previously experienced objects, but they usually do not consider the decisions and effort that goes into acquiring the sensory data. Identification of objects according to their tactile properties requires active exploratory movements. The sensory data thereby obtained depend on the details of those movements, which human subjects change rapidly and seemingly capriciously. Bayesian Exploration is an algorithm that uses prior experience to decide which next exploratory movement should provide the most useful data to disambiguate the most likely possibilities. In previous studies, a simple robot equipped with a biomimetic tactile sensor and operated according to Bayesian Exploration performed in a manner similar to and actually better than humans on a texture identification task. Expanding on this, “Bayesian ...