Articolo in rivista, 2011, ENG, 10.1016/j.biosystems.2010.12.008
Ventriglia F.
Istituto di Cibernetica E.Caianiello del CNR, Via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy
Mathematical models of the excitatory synapse are furnishing valuable information about the synaptic response. Based on Brownian-diffusion of glutamate molecules, a synapse model was utilized to investigate the synaptic response on a femto-second time scale by the use of a parallel computer. In particular, the presence of fibrils crossing the synaptic cleft was simulated, which could have a role in shaping the brain activity. To this aim the model of synapse was modified by considering trans-synaptic filaments with diameters ranging from 7. nm to 3. nm, disposed on a grid with spacing of 14. nm or 8. nm. The simulation demonstrated that the presence of filaments induced an increase in the synaptic response, most likely linked to an increment in the probability of encounter between glutamate molecules and receptors. The increase was small - from 5 to 20%, but metabolic and functional considerations provide substantive hints about the importance of these small changes for brain activity. Moreover, it was shown that the presence of filaments made more stable the response of the synapse to random variations of pre-synaptic elements. Originated by these computational results, some inferences about the biological bases of mind diseases such as autism, mental retardation and schizophrenia, are reported in the Discussion. © 2010 Elsevier Ireland Ltd.
Biosystems (Amst. Print) 104 (1), pp. 14–22
25°C and 37°C, Computer simulation, Filaments, Hippocampal glutamate synapse, Synaptic response
ISASI – Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello"
ID: 351088
Year: 2011
Type: Articolo in rivista
Creation: 2016-03-10 16:07:27.000
Last update: 2016-03-10 16:58:51.000
CNR authors
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1016/j.biosystems.2010.12.008
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-79952312974&partnerID=q2rCbXpz
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:351088
DOI: 10.1016/j.biosystems.2010.12.008
Scopus: 2-s2.0-79952312974