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Trias Creus Albert.pdf (607.76 KB)

Document type

Bachelor thesis

Publication date

2016-01

Publication license

cc-by-nc-nd (c) Trias, 2016
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/96363

Transfer entropy: how to further understand connections among neurons

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Abstract

Much time and effort is being put to shed some light into the mysteries of the brain, and yet so much of it still remains unknown. This is why understanding the human brain and mind is considered one of the grand challenges of the XXI Century [1]. By implementing the recently developed information measure called Transfer Entropy, the strength and directionality of connections among neurons can be quantified. By the means of this mathematical tool, applied to trains of neuronal activity data measured in cultured neuronal networks, the structure of a neuronal network of 1,412 neurons has been analyzed and quantified

Description

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2016, Tutor: Jordi Soriano Fradera

Subject

Entropia, Xarxes neuronals (Neurobiologia), Treballs de fi de grau

Subject (English)

Entropy, Neural networks (Neurobiology), Bachelor's theses

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Treballs Finals de Grau (TFG) - Física

Citation

TRIAS CREUS, Albert. Transfer entropy: how to further understand connections among neurons. [consulted: 19 of August of 2026]. Available at: https://hdl.handle.net/2445/96363

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