Journal Article10.1007/S12064-001-0030-Z
Spiking behavior and epileptiform oscillations in a discrete model of cortical neural networks
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TL;DR: The authors' computer simulations suggest that the detailed dynamics of postsynaptic and action potentials are not indispensable for obtaining epileptiform behavior on the system level and provide insight into the essentials of a possible mechanism of epilepsy.
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About: This article is published in Theory in Biosciences. The article was published on 01 Jan 2001. The article focuses on the topics: Biological neural network & Spiking neural network.
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Citations
Frequency transitions in synchronized neural networks
TL;DR: Temporal organization of events can emerge in complex systems, like neural networks, and random graph and cellular automaton are used to represent coupled neural structures, in order to investigate the occurrence of synchronization.
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International Atomic Energy Agency THE ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS METHOD OF CONSTRUCTION OF TRANSIENT FROM A CYCLE OF NEURONAL RECURRENCE EQUATION
Abdus Salam,Maurice Tchuente +1 more
- 01 Jan 2005
TL;DR: In this article, the authors studied the number of steps from an initial configuration to the cycle and proposed a method of constructing a transient from a cycle generated by a neuronal recurrence equation, whose dynamics contains an evolution of transient length (s+1) ×(5m+2 + lcm(p0, p1,...,, ps−1, 3m − 1)) and a cycle of length(s + 1) × lcm
Sincronismo entre redes neurais com topologia de acoplamentodo tipo Newman-Watts
Alex Martins,Luiz Henrique Alves Monteiro +1 more
- 19 Oct 2011
TL;DR: In this article, a topology of acoplamento da rede and do tipo Newman-Watts, formada by uma grade regular with ligacoes aleatorias acrescentadas, was investigated, and as relacoes entre comportamento oscilatorio and a atividade maxima.
On Synchronizing Coupled Retinogeniculocortical Pathways: A Toy Model
TL;DR: The goal is to find out how the values of the parameters related to the network topology affect the synchronization among the four graphs.
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