PMID- 25602768
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20150520
LR  - 20150224
IS  - 1530-888X (Electronic)
IS  - 0899-7667 (Linking)
VI  - 27
IP  - 3
DP  - 2015 Mar
TI  - On firing rate estimation for dependent interspike intervals.
PG  - 699-724
LID - 10.1162/NECO_a_00709 [doi]
AB  - If interspike intervals are dependent, the instantaneous firing rate does not 
      catch important features of spike trains. In this case, the conditional 
      instantaneous rate plays the role of the instantaneous firing rate for the case 
      of samples of independent interspike intervals. If the conditional distribution 
      of the interspikes intervals (ISIs) is unknown, it becomes difficult to evaluate 
      the conditional firing rate. We propose a nonparametric estimator for the 
      conditional instantaneous firing rate for Markov, stationary, and ergodic ISIs. 
      An algorithm to check the reliability of the proposed estimator is introduced, 
      and its consistency properties are proved. The method is applied to data obtained 
      from a stochastic two-compartment model and to in vitro experimental data.
FAU - Benedetto, Elisa
AU  - Benedetto E
AD  - Department of Mathematics G. Peano, University of Torino, Via Carlo Alberto 10, 
      10123, Turin, Italy elisa.benedetto@unito.it.
FAU - Polito, Federico
AU  - Polito F
FAU - Sacerdote, Laura
AU  - Sacerdote L
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20150120
PL  - United States
TA  - Neural Comput
JT  - Neural computation
JID - 9426182
EDAT- 2015/01/21 06:00
MHDA- 2015/01/21 06:01
CRDT- 2015/01/21 06:00
PHST- 2015/01/21 06:00 [entrez]
PHST- 2015/01/21 06:00 [pubmed]
PHST- 2015/01/21 06:01 [medline]
AID - 10.1162/NECO_a_00709 [doi]
PST - ppublish
SO  - Neural Comput. 2015 Mar;27(3):699-724. doi: 10.1162/NECO_a_00709. Epub 2015 Jan 
      20.