title: Essential roles of noise in neural coding and in studies of neural coding.
abstract: We present examples of results from our studies of auditory primary afferent nerve fibers and populations of such fibers in the frog and gerbil. We take advantage of the natural dithering effect of internal noise, where it is sufficient, to construct highly predictive descriptive models (based on the Wiener series with kernels derived from white-noise analysis). Where the internal noise is insufficient, we enhance dithering by applying external acoustic noise together with our stimuli. Using acoustic noise as a background sound, orthogonal to the stimulus waveform, we show that under some circumstances such background sound can enhance the ability of individual fibers and populations of fibers to encode the stimulus waveform.
authors.affiliation: Department of EECS, University of California, Berkeley 94720-1770, USA. lewis@eecs.berkeley.edu
authors.forename: E R
authors.initials: ER
authors.lastname: Lewis
authors.forename: K R
authors.initials: KR
authors.lastname: Henry
authors.forename: W M
authors.initials: WM
authors.lastname: Yamada
mesh_terms: D000200:Action Potentials; D000818:Animals; D001001:Anura; D005849:Gerbillinae; D009475:Neurons, Afferent / Q000502:physiology*; D009622:Noise