ArticleCerebral cortex (New York, N.Y. : 1991)2018
Multicontact Co-operativity in Spike-Timing-Dependent Structural Plasticity Stabilizes Networks.
Article in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- Time delays in computational models of neuronal and synaptic dynamics.Frontiers in computational neuroscience · 2025Article
- Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity.PLoS computational biology · 2024Article
- Synchronization of delayed coupled neurons with multiple synaptic connections.Cognitive neurodynamics · 2024Article
- Synaptic weights that correlate with presynaptic selectivity increase decoding performance.PLoS computational biology · 2023Article
- STDP-Driven Rewiring in Spiking Neural Networks under Stimulus-Induced and Spontaneous Activity.Biomimetics (Basel, Switzerland) · 2023Article
- Virtual Intelligence: A Systematic Review of the Development of Neural Networks in Brain Simulation Units.Brain sciences · 2022Review
- Dynamics of phase oscillator networks with synaptic weight and structural plasticity.Scientific reports · 2022Article
- Spike-Timing-Dependent Plasticity Mediated by Dopamine and its Role in Parkinson's Disease Pathophysiology.Frontiers in network physiology · 2022Review
- Spine dynamics in the brain, mental disorders and artificial neural networks.Nature reviews. Neuroscience · 2021Review
- Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring.Frontiers in computational neuroscience · 2020Article
- Self-organized reactivation maintains and reinforces memories despite synaptic turnover.eLife · 2019Article
- A Soft-Pruning Method Applied During Training of Spiking Neural Networks for In-memory Computing Applications.Frontiers in neuroscience · 2019Article
- Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks.Scientific reports · 2018Article
- Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules.Frontiers in neural circuits · 2018Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Excitatory synaptic connections in the adult neocortex consist of multiple synaptic contacts, almost exclusively formed on dendritic spines. Changes of spine volume, a correlate of synaptic strength, can be tracked in vivo for weeks. Here, we present a combined model of structural and spike-timing-dependent plasticity that explains the multicontact configuration of synapses in adult neocortical networks under steady-state and lesion-induced conditions. Our plasticity rule with Hebbian and anti-Hebbian terms stabilizes both the postsynaptic firing rate and correlations between the pre- and postsynaptic activity at an active synaptic contact. Contacts appear spontaneously at a low rate and disappear if their strength approaches zero. Many presynaptic neurons compete to make strong synaptic connections onto a postsynaptic neuron, whereas the synaptic contacts of a given presynaptic neuron co-operate via postsynaptic firing. We find that co-operation of multiple synaptic contacts is crucial for stable, long-term synaptic memories. In simulations of a simplified network model of barrel cortex, our plasticity rule reproduces whisker-trimming-induced rewiring of thalamocortical and recurrent synaptic connectivity on realistic time scales.
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