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BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 4232/2006 |
| Book | Neural Information Processing |
| DOI | 10.1007/11893028 |
| Copyright | 2006 |
| ISBN | 978-3-540-46479-2 |
| Category | Neurobiological Modeling and Analysis |
| DOI | 10.1007/11893028_3 |
| Pages | 19-29 |
| Subject Collection | Computer Science |
| SpringerLink Date | Tuesday, October 03, 2006 |
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Neurobiological Modeling and Analysis
BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold
Hiroki Kurashige1 and Yutaka Sakai2 
| (1) |
Graduate school of Engineering, Tamagawa University, Tamagawa-gakuen 6-1-1, Machida-shi, Tokyo 194–8610, Japan |
| (2) |
Faculty of Engineering, Tamagawa University, Tamagawa-gakuen 6-1-1, Machida-shi, Tokyo 194–8610, Japan |
Abstract
It has been considered that an amount of calcium elevation in a synaptic spine determines whether the synapse is potentiated
or depressed. However, it has been pointed out that simple application of the principle can not reproduce properties of spike-timing-dependent
plasticity (STDP). To solve the problem, we present a possible mechanism using dynamically sliding threshold as the linear
summation of calcium elevations induced by single pre-synaptic and post-synaptic spikes. We demonstrate that the model can
reproduce the timing dependence of biological STDP. In addition, we find that the model can reproduce the dependence of biological
STDP on the initial synaptic strength, which is found to be asymmetric for synaptic potentiation and depression, whereas no
explicit initial-strength dependence nor asymmetric mechanism are incorporated into the model.
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