ANALYSIS OF THE RAT NERVE ACTIVITY WITH AN AUTOREGRESSIVE PARAMETRIC MODEL

FERNANDO DANIEL FARFÁN; ANA LÍA ALBARRACÍN; CARMELO JOSÉ FELICE; EMILIO DECIMA

Cancun - Mexico

Conferencia; Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE; 2003

IEEE/EMBS

Studies  of  vibrissal  tactile  discrimination  show that rats can use their vibrissae to distinguish objects differing only  in  surface  texture.  Here  we  propose  to  use  an autoregressive (AR) parametric model to analyze the electrical nerve discharge when vibrissae are sweeping surfaces differing only in roughness. The results were compared with the control situation: vibrissae sweeping the air. The AR model order was evaluated  in  both  theoretical  and  practical  ways  using  the Akaike Information Criterion (AIC) and  calculating  the  delta value from the experimental data. The value obtained was five and  the  parameters  a1 and  a2  show  more  clearly  the differences  between  control  and  surface  measurements.  The results  show  that  the  AR  model  is  a  good  tool  to  use  in  this procedure.