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Memory maintenance in synapses with calcium-based plasticity in the presence of background activity.

Publication ,  Journal Article
Higgins, D; Graupner, M; Brunel, N
Published in: PLoS Comput Biol
October 2014

Most models of learning and memory assume that memories are maintained in neuronal circuits by persistent synaptic modifications induced by specific patterns of pre- and postsynaptic activity. For this scenario to be viable, synaptic modifications must survive the ubiquitous ongoing activity present in neural circuits in vivo. In this paper, we investigate the time scales of memory maintenance in a calcium-based synaptic plasticity model that has been shown recently to be able to fit different experimental data-sets from hippocampal and neocortical preparations. We find that in the presence of background activity on the order of 1 Hz parameters that fit pyramidal layer 5 neocortical data lead to a very fast decay of synaptic efficacy, with time scales of minutes. We then identify two ways in which this memory time scale can be extended: (i) the extracellular calcium concentration in the experiments used to fit the model are larger than estimated concentrations in vivo. Lowering extracellular calcium concentration to in vivo levels leads to an increase in memory time scales of several orders of magnitude; (ii) adding a bistability mechanism so that each synapse has two stable states at sufficiently low background activity leads to a further boost in memory time scale, since memory decay is no longer described by an exponential decay from an initial state, but by an escape from a potential well. We argue that both features are expected to be present in synapses in vivo. These results are obtained first in a single synapse connecting two independent Poisson neurons, and then in simulations of a large network of excitatory and inhibitory integrate-and-fire neurons. Our results emphasise the need for studying plasticity at physiological extracellular calcium concentration, and highlight the role of synaptic bi- or multistability in the stability of learned synaptic structures.

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Published In

PLoS Comput Biol

DOI

EISSN

1553-7358

Publication Date

October 2014

Volume

10

Issue

10

Start / End Page

e1003834

Location

United States

Related Subject Headings

  • Synapses
  • Rats
  • Neurons
  • Neuronal Plasticity
  • Models, Neurological
  • Hippocampus
  • Calcium
  • Bioinformatics
  • Animals
  • 08 Information and Computing Sciences
 

Citation

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Higgins, D., Graupner, M., & Brunel, N. (2014). Memory maintenance in synapses with calcium-based plasticity in the presence of background activity. PLoS Comput Biol, 10(10), e1003834. https://doi.org/10.1371/journal.pcbi.1003834
Higgins, David, Michael Graupner, and Nicolas Brunel. “Memory maintenance in synapses with calcium-based plasticity in the presence of background activity.PLoS Comput Biol 10, no. 10 (October 2014): e1003834. https://doi.org/10.1371/journal.pcbi.1003834.
Higgins D, Graupner M, Brunel N. Memory maintenance in synapses with calcium-based plasticity in the presence of background activity. PLoS Comput Biol. 2014 Oct;10(10):e1003834.
Higgins, David, et al. “Memory maintenance in synapses with calcium-based plasticity in the presence of background activity.PLoS Comput Biol, vol. 10, no. 10, Oct. 2014, p. e1003834. Pubmed, doi:10.1371/journal.pcbi.1003834.
Higgins D, Graupner M, Brunel N. Memory maintenance in synapses with calcium-based plasticity in the presence of background activity. PLoS Comput Biol. 2014 Oct;10(10):e1003834.

Published In

PLoS Comput Biol

DOI

EISSN

1553-7358

Publication Date

October 2014

Volume

10

Issue

10

Start / End Page

e1003834

Location

United States

Related Subject Headings

  • Synapses
  • Rats
  • Neurons
  • Neuronal Plasticity
  • Models, Neurological
  • Hippocampus
  • Calcium
  • Bioinformatics
  • Animals
  • 08 Information and Computing Sciences