ArticlePLoS computational biology2012
Soft-bound synaptic plasticity increases storage capacity.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
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- Retention-aware zero-shifting technique for Tiki-Taka algorithm-based analog deep learning accelerator.Science advances · 2024Article
- The influence of synaptic plasticity on critical coupling estimates for neural populations.Journal of mathematical biology · 2024Article
- Extreme value statistics of nerve transmission delay.PloS one · 2024Article
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- Weight dependence in BCM leads to adjustable synaptic competition.Journal of computational neuroscience · 2022Article
- A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision Making.Frontiers in computational neuroscience · 2019Article
- Size-Dependent Axonal Bouton Dynamics following Visual Deprivation In Vivo.Cell reports · 2018Article
- Functional consequences of pre- and postsynaptic expression of synaptic plasticity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Homeostatic Plasticity Achieved by Incorporation of Random Fluctuations and Soft-Bounded Hebbian Plasticity in Excitatory Synapses.Frontiers in neural circuits · 2016Article
- Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning.eLife · 2015Article
- Energy Efficient Sparse Connectivity from Imbalanced Synaptic Plasticity Rules.PLoS computational biology · 2015Article
- Synaptic Variability Introduces State-Dependent Modulation of Excitatory Spinal Cord Synapses.Neural plasticity · 2015Article
- Overcoming catastrophic interference in connectionist networks using Gram-Schmidt orthogonalization.PloS one · 2014Article
- Inhomogeneous sparseness leads to dynamic instability during sequence memory recall in a recurrent neural network model.Journal of mathematical neuroscience · 2013Article
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3 authors.
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Abstract
Accurate models of synaptic plasticity are essential to understand the adaptive properties of the nervous system and for realistic models of learning and memory. Experiments have shown that synaptic plasticity depends not only on pre- and post-synaptic activity patterns, but also on the strength of the connection itself. Namely, weaker synapses are more easily strengthened than already strong ones. This so called soft-bound plasticity automatically constrains the synaptic strengths. It is known that this has important consequences for the dynamics of plasticity and the synaptic weight distribution, but its impact on information storage is unknown. In this modeling study we introduce an information theoretic framework to analyse memory storage in an online learning setting. We show that soft-bound plasticity increases a variety of performance criteria by about 18% over hard-bound plasticity, and likely maximizes the storage capacity of synapses.
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