Recurrent spatiotemporal firing patterns in large spiking neural networks with ontogenetic and epigenetic processes.

Détails

ID Serval
serval:BIB_20EF65FFA8F7
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Recurrent spatiotemporal firing patterns in large spiking neural networks with ontogenetic and epigenetic processes.
Périodique
Journal of physiology, Paris
Auteur⸱e⸱s
Iglesias J., Villa A.E.
ISSN
1769-7115 (Electronic)
ISSN-L
0928-4257
Statut éditorial
Publié
Date de publication
2010
Peer-reviewed
Oui
Volume
104
Numéro
3-4
Pages
137-146
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
Neural development and differentiation are characterized by an overproduction of cells and a transient exuberant number of connections followed by cell death and selective synaptic pruning. We simulated large spiking neural networks (10,000 units at its maximum size) with and without an ontogenetic process corresponding to a brief initial phase of apoptosis driven by an excessive firing rate mimicking cell death due to glutamatergic neurotoxicity and glutamate-triggered apoptosis. This phase was followed by the onset of spike timing dependent synaptic plasticity (STDP), driven by spatiotemporal patterns of stimulation. Despite the reduction in cell counts the apoptosis tended to increase the excitatory/inhibitory ratio because the inhibitory cells were affected at first. Recurrent spatiotemporal firing patterns emerged in both developmental condition but they differed in dynamics. They were less numerous but repeated more often after apoptosis. The results suggest that initial cell death may be necessary for the emergence of stable cell assemblies, able to sustain and process temporal information, from the initially randomly connected networks.

Mots-clé
Action Potentials/physiology, Animals, Cell Death/physiology, Cerebral Cortex/cytology, Cerebral Cortex/embryology, Computer Simulation, Epigenesis, Genetic/physiology, Models, Neurological, Nerve Net, Neural Networks (Computer), Neuronal Plasticity/physiology, Neurons/physiology, Synaptic Transmission/physiology
Pubmed
Web of science
Création de la notice
23/08/2010 16:52
Dernière modification de la notice
20/08/2019 13:57
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