Multi-neuronal activity and functional connectivity in cell assemblies.
Curr Opin Neurobiol
; 32: 38-44, 2015 Jun.
Article
de En
| MEDLINE
| ID: mdl-25463563
ABSTRACT
Our ability to collect large amounts of data from many cells has been paralleled by the development of powerful statistical models for extracting information from this data. Here we discuss how the activity of cell assemblies can be analyzed using these models, focusing on the generalized linear models and the maximum entropy models and describing a number of recent studies that employ these tools for analyzing multi-neuronal activity. We show results from simulations comparing inferred functional connectivity, pairwise correlations and the real synaptic connections in simulated networks demonstrating the power of statistical models in inferring functional connectivity. Further development of network reconstruction techniques based on statistical models should lead to more powerful methods of understanding functional anatomy of cell assemblies.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Modèles statistiques
/
Réseau nerveux
/
Neurones
Type d'étude:
Risk_factors_studies
Limites:
Animals
Langue:
En
Journal:
Curr Opin Neurobiol
Sujet du journal:
BIOLOGIA
/
NEUROLOGIA
Année:
2015
Type de document:
Article