Correlated connectivity and the distribution of firing rates in the neocortex.
J Neurosci
; 29(12): 3685-94, 2009 Mar 25.
Article
em En
| MEDLINE
| ID: mdl-19321765
ABSTRACT
Two recent experimental observations pose a challenge to many cortical models. First, the activity in the auditory cortex is sparse, and firing rates can be described by a lognormal distribution. Second, the distribution of nonzero synaptic strengths between nearby cortical neurons can also be described by a lognormal distribution. Here we use a simple model of cortical activity to reconcile these observations. The model makes the experimentally testable prediction that synaptic efficacies onto a given cortical neuron are statistically correlated, i.e., it predicts that some neurons receive stronger synapses than other neurons. We propose a simple Hebb-like learning rule that gives rise to such correlations and yields both lognormal firing rates and synaptic efficacies. Our results represent a first step toward reconciling sparse activity and sparse connectivity in cortical networks.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Potenciais de Ação
/
Neocórtex
/
Modelos Neurológicos
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Ano de publicação:
2009
Tipo de documento:
Article