- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2202
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Inferring neural connectivity from multiple spike trains ; volume:8 ; number:2 ; day:6 ; month:7 ; year:2007 ; pages:1 ; date:7.2007
BMC neuroscience ; 8, Heft 2 (6.7.2007), 1, 7.2007
- Creator
-
Kim, Won Sup
- Contributor
-
Ryu, Seon Young
Han, Seung Kee
SpringerLink (Online service)
- DOI
-
10.1186/1471-2202-8-S2-P52
- URN
-
urn:nbn:de:1111-2016032055488
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kim, Won Sup
- Ryu, Seon Young
- Han, Seung Kee
- SpringerLink (Online service)
Other Objects (12)
Connectivity from spike trains of neocortex neuron populations
Fluctuation scaling in neural spike trains
Learning probabilistic models of connectivity from multiple spike train data
Maximum entropy decoding of multivariate neural spike trains
Neuronal connectivity inference from spike trains using an empirical probabilistic causality measure
A measure of the information content of neural spike trains
Neural pathway prediction based on multi-neuron spike train data
Inferring ion channel densities from spike data
Measuring spike train reliability
State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data
Synchrony Measurement and Connectivity Estimation of Parallel Spike Trains from in vitro Neuronal Networks
Inferring network connectivity using kinetic Ising models
Connectivity from spike trains of neocortex neuron populations
Fluctuation scaling in neural spike trains
Learning probabilistic models of connectivity from multiple spike train data
Maximum entropy decoding of multivariate neural spike trains
Neuronal connectivity inference from spike trains using an empirical probabilistic causality measure
A measure of the information content of neural spike trains
Neural pathway prediction based on multi-neuron spike train data
Inferring ion channel densities from spike data
Measuring spike train reliability
State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data
Synchrony Measurement and Connectivity Estimation of Parallel Spike Trains from in vitro Neuronal Networks
Inferring network connectivity using kinetic Ising models
Connectivity from spike trains of neocortex neuron populations
Fluctuation scaling in neural spike trains
Learning probabilistic models of connectivity from multiple spike train data
Maximum entropy decoding of multivariate neural spike trains
Neuronal connectivity inference from spike trains using an empirical probabilistic causality measure
A measure of the information content of neural spike trains
Neural pathway prediction based on multi-neuron spike train data
Inferring ion channel densities from spike data
Measuring spike train reliability
State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data
Synchrony Measurement and Connectivity Estimation of Parallel Spike Trains from in vitro Neuronal Networks