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E ects of di erent connectivity patterns in a model of cortical circuits
 

Summary: E ects of di erent connectivity patterns in a
model of cortical circuits
Carlos Aguirre, Doris Campos, Pedro Pascual, and Eduardo Serrano
GNB, Escuela Politecnica Superior, Universidad Autonoma de Madrid,
28049 Madrid, Spain
fCarlos.Aguirre, Doris.Campos, Pedro.Pascual, Eduardo.Serranog@ii.uam.es
Abstract. Cortical circuits are usually modeled as a network of ex-
citatory and inhibitory neurons with a completely regular or a ran-
dom connectivity pattern. However, neuroanatomy of the macaque and
the cat cortex shows that cortical neurons are organized into densely
linked groups that are sparsely and reciprocally interconnected. Inter-
esting properties arise in the average activity of an ensemble of cortical
neurons when the topology of the network itself is an intrinsic parameter
of the model that can vary with a given set of rules. In this work we
show that both the temporal activity and the encoded rhythms in an
ensemble of cortical neurons depend on the topology of the network.
1 Introduction
Graph theory [1] provides the most adequate theoretical framework in order
to characterize the anatomical connectivity of a biological neural network. The
representation of neural networks as graphs allows a complete structural de-

  

Source: Aguirre, Carlos - Departamento de Ingeniería Informática, Departamento de Ingeniería Informática, Universidad Autonoma de Madrid

 

Collections: Computer Technologies and Information Sciences