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| dc.contributor | Soriano i Fradera, Jordi | |
| dc.creator | Trias Creus, Albert | |
| dc.date | 2016-03-10T16:50:15Z | |
| dc.date | 2016-03-10T16:50:15Z | |
| dc.date | 2016-01 | |
| dc.date.accessioned | 2024-12-16T10:22:11Z | |
| dc.date.available | 2024-12-16T10:22:11Z | |
| dc.identifier | http://hdl.handle.net/2445/96363 | |
| dc.identifier.uri | http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/13929 | |
| dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2016, Tutor: Jordi Soriano Fradera | |
| dc.description | 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 | |
| dc.format | 7 p. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.rights | cc-by-nc-nd (c) Trias, 2016 | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Treballs Finals de Grau (TFG) - Física | |
| dc.subject | Entropia | |
| dc.subject | Xarxes neuronals (Neurobiologia) | |
| dc.subject | Treballs de fi de grau | |
| dc.subject | Entropy | |
| dc.subject | Neural networks (Neurobiology) | |
| dc.subject | Bachelor's theses | |
| dc.title | Transfer entropy: how to further understand connections among neurons | |
| dc.type | info:eu-repo/semantics/bachelorThesis |
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