Identification of functional interconnected neurons

SOLETTA JH; FARFÁN FD; ALBARRACIN, AL; PIZÁ AG; LUCIANNA FA; SORIA JC; FELICE CJ

Buenos Aires

Congreso; 2nd FALAN Congress; 2016

FALAN

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.