Publication Date:
2011-08-24
Description:
We have developed a neural system identification method for fitting models to stimulus-response data, where the response is a spike train. The method involves using a general nonlinear optimisation procedure to fit models in the time domain. We have applied the method to model bullfrog semicircular canal afferent neuron responses during naturalistic, broad-band head rotations. These neurons respond in diverse ways, but a simple four parameter class of models elegantly accounts for the various types of responses observed. c1999 Elsevier Science B.V. All rights reserved.
Keywords:
Life Sciences (General)
Type:
Neurocomputing (ISSN 0925-2312); Volume 26-27; 1-3; 223-8
Format:
text