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Sensory information processing by noisy bistable neurons

Journal Article · · Modern Physics Letters B; (Singapore)
 [1];  [2];  [3]
  1. Los Alamos National Lab., NM (United States). Theoretical Div.
  2. NCCOSC-RDT and E Div., Materials Research Branch, San Diego, CA (United States)
  3. Missouri Univ., St. Louis, MO (United States). Dept. of Physics

Many neurons in the central nervous systems and at the sensory periphery receive periodic input. The neural activity of interest here is one which may be called statistical phase-locking, where the neutron fires preferentially near a given phase of the stimulus, but skips a random number of stimulus cycles between successive firings. It is shown that intervals between successive firings are distributed according to the same density as that of residence times in bistable noisy systems, provided these times are computed from suitably chosen interwell transitions. This paper further makes this connection plausible by relating properties of neurons to those of bistable systems. Further it looks at the question of what role noise and possibly stochastic resonance, which can arise in this context, may play in information processing at the sensory neuron level.

OSTI ID:
6913581
Journal Information:
Modern Physics Letters B; (Singapore), Journal Name: Modern Physics Letters B; (Singapore) Vol. 6:21; ISSN 0217-9849; ISSN MPLBET
Country of Publication:
United States
Language:
English

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