Modelling the firing pattern of bullfrog vestibular neurons responding to naturalistic stimuli.
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.
Paulin
M G
MG
Department of Zoology and Centre for Neuroscience, University of Otago, Dunedin, New Zealand. mpaulin@otago.ac.nz
Hoffman
L F
LF
D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D008959:Models, Neurological; D009424:Nervous System Physiological Phenomena; D009475:Neurons, Afferent / Q000502:physiology*; D017711:Nonlinear Dynamics; D011892:Rana catesbeiana / Q000033:anatomy & histology / Q000502:physiology*; D012665:Semicircular Canals / Q000294:innervation*; D015398:Signal Transduction / Q000502:physiology; D014725:Vestibular Nerve / Q000502:physiology; D014722:Vestibule, Labyrinth / Q000502:physiology
NASA Discipline Neuroscience; Non-NASA Center