- Poster presentation
- Open Access
Effects of Stochastic Inputs on Calcium-Dependent Synaptic Plasticity
© Talasila et al; licensee BioMed Central Ltd. 2011
Published: 18 July 2011
Activity dependent potentiation and depression in synaptic efficacy is thought to be one of the underlying mechanisms of learning and memory. Recent studies have shown that moderate increase in synaptic spine calcium concentration leads to synaptic depression, while large increase results in potentiation . We produced a computational model of a small CA3 hippocampal network of cells governed by calcium dependent plasticity developed by  to investigate the effects of i) stochastic network inputs (SNI) and ii) spontaneous cell activation (SCA) on the Ca dependent model of plasticity.
We used a small hippocampal network model consisting of 72 pyramidal cells and 16 interneurons, where each cell was a modified version of the Traub model [3, 4]. The calcium-dependent plasticity model was implanted to govern the changes in synaptic efficacy between the cells. The presence of spontaneous activation of AMPA, NMDA, GABAA and GABAB synaptic elements were varied between zero (low) and 5,5,3,3 Hz (high) respectively. The cells were also provided with SNI that had a Poisson distribution with an expected value of spike per second of either 10(low) or 100(high). The effects of the rate of, SNI and SCA on synaptic plasticity were studied.
- Cho K, Aggleton JP, Brown MW, Bashir ZI: An experimental test of the role of postsynaptic calcium levels in determining synaptic strength using perirhinal cortex of rat. J Physiol. 2001, 532: 459-466. 10.1111/j.1469-7793.2001.0459f.x.PubMed CentralView ArticlePubMedGoogle Scholar
- Shouval HZ, Bear MF, Cooper LN: A unified model of NMDA receptordependent bidirectional synaptic plasticity. Proc Natl Acad Sci (USA). 2002, 99: 10831-10836. 10.1073/pnas.152343099.View ArticleGoogle Scholar
- Traub RD, Jefferys JG, Miles R, Whittington MA, Toth K: A branching dendritic model of a rodent CA3 pyramidal neurone. J Physiol (Lond.). 1994, 481 (Pt 1): 79.View ArticleGoogle Scholar
- Menne KML, Folkers A, Malina T, Maex R, Hofmann UG: Test of spike sorting algorithms on the basis of simulated network data. Neurocomputing. 2002, 44-46: 1119-1126. 10.1016/S0925-2312(02)00432-0.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.