about
Neural representation of ambiguous visual objects in the inferior temporal cortexParametric models to relate spike train and LFP dynamics with neural information processingAn overview of Bayesian methods for neural spike train analysis.Markov chain Monte Carlo methods for state-space models with point process observations.
P2860
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Neuronal spike train analysis in likelihood space.
@ast
Neuronal spike train analysis in likelihood space.
@en
type
label
Neuronal spike train analysis in likelihood space.
@ast
Neuronal spike train analysis in likelihood space.
@en
prefLabel
Neuronal spike train analysis in likelihood space.
@ast
Neuronal spike train analysis in likelihood space.
@en
P2093
P2860
P1433
P1476
Neuronal spike train analysis in likelihood space.
@en
P2093
Hamid Soltanian-Zadeh
Mehdi Abouzari
Nazli Emadi
Sina Salehi
Yousef Salimpour
P2860
P304
P356
10.1371/JOURNAL.PONE.0021256
P407
P577
2011-06-27T00:00:00Z