PMID- 16943561
OWN - NLM
STAT- MEDLINE
DCOM- 20060921
LR  - 20200225
IS  - 1529-2401 (Electronic)
IS  - 0270-6474 (Print)
IS  - 0270-6474 (Linking)
VI  - 26
IP  - 35
DP  - 2006 Aug 30
TI  - Decoding stimulus variance from a distributional neural code of interspike 
      intervals.
PG  - 9030-7
AB  - The spiking output of an individual neuron can represent information about the 
      stimulus via mean rate, absolute spike time, and the time intervals between 
      spikes. Here we discuss a distinct form of information representation, the local 
      distribution of spike intervals, and show that the time-varying distribution of 
      interspike intervals (ISIs) can represent parameters of the statistical context 
      of stimuli. For many sensory neural systems the mapping between the stimulus 
      input and spiking output is not fixed but, rather, depends on the statistical 
      properties of the stimulus, potentially leading to ambiguity. We have shown 
      previously that for the adaptive neural code of the fly H1, a motion-sensitive 
      neuron in the fly visual system, information about the overall variance of the 
      signal is obtainable from the ISI distribution. We now demonstrate the decoding 
      of information about variance and show that a distributional code of ISIs can 
      resolve ambiguities introduced by slow spike frequency adaptation. We examine the 
      precision of this distributional code for the representation of stimulus variance 
      in the H1 neuron as well as in the Hodgkin-Huxley model neuron. We find that the 
      accuracy of the decoding depends on the shapes of the ISI distributions and the 
      speed with which they adapt to new stimulus variances.
FAU - Lundstrom, Brian Nils
AU  - Lundstrom BN
AD  - Department of Physiology and Biophysics, University of Washington, Seattle, 
      Washington 98195, USA.
FAU - Fairhall, Adrienne L
AU  - Fairhall AL
LA  - eng
GR  - T32 07266/PHS HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - J Neurosci
JT  - The Journal of neuroscience : the official journal of the Society for 
      Neuroscience
JID - 8102140
SB  - IM
MH  - *Action Potentials
MH  - Adaptation, Physiological
MH  - Animals
MH  - Computer Simulation
MH  - Computer Systems
MH  - Diptera/*physiology
MH  - Information Theory
MH  - Models, Neurological
MH  - Motion Perception/physiology
MH  - Neurons/*physiology
MH  - Neurons, Afferent/physiology
MH  - Reaction Time
PMC - PMC6675329
EDAT- 2006/09/01 09:00
MHDA- 2006/09/22 09:00
PMCR- 2007/02/28
CRDT- 2006/09/01 09:00
PHST- 2006/09/01 09:00 [pubmed]
PHST- 2006/09/22 09:00 [medline]
PHST- 2006/09/01 09:00 [entrez]
PHST- 2007/02/28 00:00 [pmc-release]
AID - 26/35/9030 [pii]
AID - 3145440 [pii]
AID - 10.1523/JNEUROSCI.0225-06.2006 [doi]
PST - ppublish
SO  - J Neurosci. 2006 Aug 30;26(35):9030-7. doi: 10.1523/JNEUROSCI.0225-06.2006.