ArticleFrontiers in neural circuits2016
Hebbian Wiring Plasticity Generates Efficient Network Structures for Robust Inference with Synaptic Weight Plasticity.
Article in Frontiers in neural circuits, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Speech Recognition with an fMRISNN Constrained by Human Functional Brain Networks: A Study of Enhanced MFCC-Driven Sparse Spike Encoding.Biomimetics (Basel, Switzerland) · 2026Article
- Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.eLife · 2025Article
- Structural spine plasticity: Learning and forgetting of odor-specific subnetworks in the olfactory bulb.PLoS computational biology · 2022Article
- Redundancy in synaptic connections enables neurons to learn optimally.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Experience-dependent olfactory behaviors of the parasitic nematode Heligmosomoides polygyrus.PLoS pathogens · 2017Article
- Synaptic Impairment and Robustness of Excitatory Neuronal Networks with Different Topologies.Frontiers in neural circuits · 2017Article
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Abstract
In the adult mammalian cortex, a small fraction of spines are created and eliminated every day, and the resultant synaptic connection structure is highly nonrandom, even in local circuits. However, it remains unknown whether a particular synaptic connection structure is functionally advantageous in local circuits, and why creation and elimination of synaptic connections is necessary in addition to rich synaptic weight plasticity. To answer these questions, we studied an inference task model through theoretical and numerical analyses. We demonstrate that a robustly beneficial network structure naturally emerges by combining Hebbian-type synaptic weight plasticity and wiring plasticity. Especially in a sparsely connected network, wiring plasticity achieves reliable computation by enabling efficient information transmission. Furthermore, the proposed rule reproduces experimental observed correlation between spine dynamics and task performance.
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