dc.creator | Soletta, Jorge Humberto | |
dc.creator | Farfan, Fernando Daniel | |
dc.creator | Albarracin, Ana Lia | |
dc.creator | Pizá, Alvaro Gabriel | |
dc.creator | Lucianna, Facundo Adrián | |
dc.creator | Felice, Carmelo Jose | |
dc.date.accessioned | 2018-10-29T13:54:59Z | |
dc.date.accessioned | 2018-11-06T14:01:58Z | |
dc.date.available | 2018-10-29T13:54:59Z | |
dc.date.available | 2018-11-06T14:01:58Z | |
dc.date.created | 2018-10-29T13:54:59Z | |
dc.date.issued | 2017-04 | |
dc.identifier | Soletta, Jorge Humberto; Farfan, Fernando Daniel; Albarracin, Ana Lia; Pizá, Alvaro Gabriel; Lucianna, Facundo Adrián; et al.; Identification of Functionally Interconnected Neurons Using Factor Analysis; Hindawi Publishing Corporation; Computational Intelligence and Neuroscience; 2017; 4-2017; 1-11 | |
dc.identifier | 1687-5265 | |
dc.identifier | http://hdl.handle.net/11336/63170 | |
dc.identifier | 1687-5273 | |
dc.identifier | CONICET Digital | |
dc.identifier | CONICET | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1882015 | |
dc.description.abstract | The advances in electrophysiological methods have allowed registering the joint activity of single neurons. Thus, studies on functional dynamics of complex-valued neural networks and its information processing mechanism have been conducted. Particularly, the methods for identifying neuronal interconnections are in increasing demand in the area of neurosciences. Here, we proposed a factor analysis to identify functional interconnections among neurons via spike trains. This method was evaluated using simulations of neural discharges from different interconnections schemes. The results have revealed that the proposed method not only allows detecting neural interconnections but will also allow detecting the presence of presynaptic neurons without the need of the recording of them. | |
dc.language | eng | |
dc.publisher | Hindawi Publishing Corporation | |
dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/cin/2017/8056141/ | |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1155/2017/8056141 | |
dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | synapses interconnection | |
dc.subject | Granger causality | |
dc.subject | neural networks | |
dc.subject | Factor Analysis | |
dc.title | Identification of Functionally Interconnected Neurons Using Factor Analysis | |
dc.type | Artículos de revistas | |
dc.type | Artículos de revistas | |
dc.type | Artículos de revistas | |