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Network model of spontaneous activity exhibiting synchronous transitions between up and down states

Summary: Network model of spontaneous activity exhibiting
synchronous transitions between up and down states
N ´estor Pargaa
and Larry F. Abbott
Center for Neurobiology and Behavior, Kolb Research Annex, College of Physicians and Surgeons, Columbia University, New York, USA
Review Editors: Misha Tsodyks, Department of Neurobiology, Weizman Institute of Science, Israel
Albert Compte, Instituto de Neurociencias, University Miguel Hernandez, Spain
Both in vivo and in vitro recordings indicate that neuronal membrane potentials can make spontaneous transitions between distinct up
and down states. At the network level, populations of neurons have been observed to make these transitions synchronously. Although
synaptic activity and intrinsic neuron properties play an important role, the precise nature of the processes responsible for these phenom-
ena is not known. Using a computational model, we explore the interplay between intrinsic neuronal properties and synaptic fluctuations.
Model neurons of the integrate-and-fire type were extended by adding a nonlinear membrane current. Networks of these neurons exhibit
large amplitude synchronous spontaneous fluctuations that make the neurons jump between up and down states, thereby producing
bimodal membrane potential distributions. The effect of sensory stimulation on network responses depends on whether the stimulus is
applied during an up state or deeply inside a down state. External noise can be varied to modulate the network continuously between
two extreme regimes in which it remains permanently in either the up or the down state.
Keywords: neuronal modeling, cortical dynamics, cortical network, up-down state transitions
Neural activity in the absence of sensory stimulation can be structured
(Arieli et al., 1996) with, in some cases, the membrane potential making


Source: Abbott, Laurence - Center for Neurobiology and Behavior & Department of Physiology and Cellular Biophysics, Columbia University
Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra
Parga, Néstor - Departamento de Física Teórica, Universidad Autónoma de Madrid


Collections: Biology and Medicine; Computer Technologies and Information Sciences; Physics