Learning and memory mechanisms are currently studied at molecular level and theoretical approaches need to be extended by precise and detailed biophysical models for the comprehension of the existing results and for design of new experiments. Synaptic plasticity is, at least partially, based on the molecular transition between a synaptic state of permanent (long-term) potentiation (LTP) and depression (long-term depression, LTD). Phosphorylation and dephosphorylation of receptors mediating synaptic transmission is the major mechanisms for LTP/LTD induction and regulation. This knowledge has fuelled new theoretical and experimental investigations, mainly focused on the stability versus meta-stability properties as a function of the involved enzymes.

G Castellani, D Remondini, F Bersani, E Verondini, I Zironi (2008). Biophysical modelling of memory and learning by neuroinformatics and systems biology. BOLOGNA : Bononia University Press.

Biophysical modelling of memory and learning by neuroinformatics and systems biology

CASTELLANI, GASTONE;REMONDINI, DANIEL;BERSANI, FERDINANDO;VERONDINI, ETTORE;ZIRONI, ISABELLA
2008

Abstract

Learning and memory mechanisms are currently studied at molecular level and theoretical approaches need to be extended by precise and detailed biophysical models for the comprehension of the existing results and for design of new experiments. Synaptic plasticity is, at least partially, based on the molecular transition between a synaptic state of permanent (long-term) potentiation (LTP) and depression (long-term depression, LTD). Phosphorylation and dephosphorylation of receptors mediating synaptic transmission is the major mechanisms for LTP/LTD induction and regulation. This knowledge has fuelled new theoretical and experimental investigations, mainly focused on the stability versus meta-stability properties as a function of the involved enzymes.
2008
Sysbiohealth symposium 2008
35
37
G Castellani, D Remondini, F Bersani, E Verondini, I Zironi (2008). Biophysical modelling of memory and learning by neuroinformatics and systems biology. BOLOGNA : Bononia University Press.
G Castellani; D Remondini; F Bersani; E Verondini; I Zironi
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/71352
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact