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Neuromorphology: A Case Study Based on Data Mining and Statistical Techniques in an Educational Setting

  • F. Maiorana
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

The importance of neuromorphology cannot be underestimated since knowledge of the brain supports interesting and disparate applications ranging from obtaining an insight into mental diseases to try a comprehension of the human cognitive processes while performing complex tasks. Indeed, it is widely recognized that the knowledge of the morphological structure of the neurons is a fundamental step towards studying neurons and understanding their functions and interactions. This paper presents a case study of an engineering course provided with a data mining module whose final projects were dedicated to manage computational tools for neuron morphology. The results suggest how such tools may be reused in neuroscience and bioengineering courses as a basis for the important and difficult task of neuron modeling and understanding.

Keywords

Neuromorhpology Data mining Medical education Matlab 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of Electrical, Electronic and Informatics EngineeringUniversity of CataniaCataniaItaly

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