Identification of functional interconnected neurons

JORGE HUMBERTO SOLETTA; FERNANDO DANIEL FARFÁN; ANA LÍA ALBARRACÍN; ALVARO GABRIEL PIZÁ; FACUNDO LUCIANNA; JUAN CARLOS SORIA; CARMELO JOSÉ FELICE

Buenos Aires

Congreso; 2do FALAN Congress 2016; 2016

Federation of Latin American and Caribbean Neuroscience Societies

The advances in electrophysiological methods have allowed to register 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 to detect neural interconnections, but will also allow to detect the presence of pre-synaptic neurons without the need of the recording of them.