Analysis of the rat nerve activity with an autoregressive parametric model

• Published in: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439) Vol. 3; pp. 2063 - 2066 Vol.3
• Main Authors: Farfan, F.D., Albarracin, A.L., Felice, C.J., Decima, E.E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2003
• Subjects: Brain modeling; Electroencephalography; Hair; Mathematical model; Parametric statistics; Rats; Rough surfaces; Surface discharges; Surface roughness; Surface texture
• ISBN: 0780377893; 9780780377899
• ISSN: 1094-687X; 1558-4615
• DOI: 10.1109/IEMBS.2003.1280142

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.