PMID- 23945258
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20131115
LR  - 20211021
IS  - 2190-8567 (Print)
IS  - 2190-8567 (Electronic)
VI  - 3
IP  - 1
DP  - 2013 Aug 14
TI  - A computational study of spike time reliability in two types of threshold 
      dynamics.
PG  - 11
LID - 10.1186/2190-8567-3-11 [doi]
AB  - Spike time reliability (STR) refers to the phenomenon in which repetitive 
      applications of a frozen copy of one stochastic signal to a neuron trigger spikes 
      with reliable timing while a constant signal fails to do so. Observed and 
      explored in numerous experimental and theoretical studies, STR is a complex 
      dynamic phenomenon depending on the nature of external inputs as well as 
      intrinsic properties of a neuron. The neuron under consideration could be either 
      quiescent or spontaneously spiking in the absence of the external stimulus. 
      Focusing on the situation in which the unstimulated neuron is quiescent but close 
      to a switching point to oscillations, we numerically analyze STR treating each 
      spike occurrence as a time localized event in a model neuron. We study both the 
      averaged properties as well as individual features of spike-evoking epochs 
      (SEEs). The effects of interactions between spikes is minimized by selecting 
      signals that generate spikes with relatively long interspike intervals (ISIs). 
      Under these conditions, the frequency content of the input signal has little 
      impact on STR. We study two distinct cases, Type I in which the f-I relation (f 
      for frequency, I for applied current) is continuous and Type II where the f-I 
      relation exhibits a jump. STR in the two types shows a number of similar features 
      and differ in some others. SEEs that are capable of triggering spikes show great 
      variety in amplitude and time profile. On average, reliable spike timing is 
      associated with an accelerated increase in the "action" of the signal as a 
      threshold for spike generation is approached. Here, "action" is defined as the 
      average amount of current delivered during a fixed time interval. When individual 
      SEEs are studied, however, their time profiles are found important for triggering 
      more precisely timed spikes. The SEEs that have a more favorable time profile are 
      capable of triggering spikes with higher precision even at lower action levels.
FAU - Yu, Na
AU  - Yu N
AD  - Department of Mathematics, University of British Columbia, Vancouver, BC, Canada, 
      V6T 1Z2. rachel@math.ubc.ca.
FAU - Li, Yue-Xian
AU  - Li YX
FAU - Kuske, Rachel
AU  - Kuske R
LA  - eng
PT  - Journal Article
DEP - 20130814
PL  - Germany
TA  - J Math Neurosci
JT  - Journal of mathematical neuroscience
JID - 101572469
PMC - PMC3849148
EDAT- 2013/08/16 06:00
MHDA- 2013/08/16 06:01
PMCR- 2013/08/14
CRDT- 2013/08/16 06:00
PHST- 2012/09/20 00:00 [received]
PHST- 2013/04/23 00:00 [accepted]
PHST- 2013/08/16 06:00 [entrez]
PHST- 2013/08/16 06:00 [pubmed]
PHST- 2013/08/16 06:01 [medline]
PHST- 2013/08/14 00:00 [pmc-release]
AID - 2190-8567-3-11 [pii]
AID - 10.1186/2190-8567-3-11 [doi]
PST - epublish
SO  - J Math Neurosci. 2013 Aug 14;3(1):11. doi: 10.1186/2190-8567-3-11.