Active data collection for efficient estimation and comparison of nonlinear neural models.
about
A hierarchical Bayesian approach to adaptive vision testing: A case study with the contrast sensitivity functionOnline stimulus optimization rapidly reveals multidimensional selectivity in auditory cortical neurons.Temporal Code-Driven Stimulation: Definition and Application to Electric Fish Signaling.A hierarchical adaptive approach to optimal experimental designAdaptive stimulus optimization for sensory systems neuroscienceActive learning of cortical connectivity from two-photon imaging data.Adaptive stimulus selection for multi-alternative psychometric functions with lapses
P2860
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P2860
Active data collection for efficient estimation and comparison of nonlinear neural models.
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
Active data collection for eff ...... on of nonlinear neural models.
@ast
Active data collection for eff ...... on of nonlinear neural models.
@en
type
label
Active data collection for eff ...... on of nonlinear neural models.
@ast
Active data collection for eff ...... on of nonlinear neural models.
@en
prefLabel
Active data collection for eff ...... on of nonlinear neural models.
@ast
Active data collection for eff ...... on of nonlinear neural models.
@en
P2860
P356
P1433
P1476
Active data collection for eff ...... on of nonlinear neural models.
@en
P2093
Christopher DiMattina
Kechen Zhang
P2860
P304
P356
10.1162/NECO_A_00167
P577
2011-06-14T00:00:00Z