Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)

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Accession:183371
In this paper we propose a new mechanism, diffusive homeostasis, in which neural excitability is modulated by nitric oxide, a gas which can flow freely across cell membranes. Our model simulates the activity-dependent synthesis and diffusion of nitric oxide in a recurrent network model of integrate-and-fire neurons. The concentration of nitric oxide is then used as homeostatic readout which modulates the firing threshold of each neuron.
Reference:
1 . Sweeney Y, Hellgren Kotaleski J, Hennig MH (2015) A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks. PLoS Comput Biol 11:e1004389 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Abstract integrate-and-fire leaky neuron;
Channel(s):
Gap Junctions:
Receptor(s): NO;
Gene(s):
Transmitter(s): NO;
Simulation Environment: Brian; Python;
Model Concept(s): Synaptic Plasticity; Intrinsic plasticity; STDP; Homeostasis; Volume transmission;
Implementer(s): Sweeney, Yann [yann.sweeney at ed.ac.uk];
Search NeuronDB for information about:  NO; NO;
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