ArticlePLoS computational biology2022
Homeostatic control of synaptic rewiring in recurrent networks induces the formation of stable memory engrams.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- A computational framework for epigenetic plasticity in memory.Brain : a journal of neurology · 2026Review
- Statistics of cortical representational drift can enable robust readout.PLoS computational biology · 2026Article
- Neuropeptide Y co-opts neuronal ensembles for memory lability and stability.Nature neuroscience · 2026Article
- Analytically tractable model of synaptic crowding explains emergent small-world structure and network dynamics.Scientific reports · 2026Article
- Plastic Arbor: A modern simulation framework for synaptic plasticity-From single synapses to networks of morphological neurons.PLoS computational biology · 2026Article
- Synaptic Synchronization-Based Learning of Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks.bioRxiv : the preprint server for biology · 2025Article
- Article
- Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.PLoS computational biology · 2025Article
- Resolving inconsistent effects of tDCS on learning using a homeostatic structural plasticity model.Frontiers in network physiology · 2025Article
- Transcriptomic and de novo proteomic analyses of organotypic entorhino-hippocampal tissue cultures reveal changes in metabolic and signaling regulators in TTX-induced synaptic plasticity.Molecular brain · 2024Article
- Model-agnostic neural mean field with a data-driven transfer function.Neuromorphic computing and engineering · 2024Article
- Synaptic rearrangement of NMDA receptors controls memory engram formation and malleability in the cortex.Science advances · 2024Article
- Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information.Nature communications · 2024Article
- Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism.Frontiers in neuroinformatics · 2024Article
- Repetitive transcranial magnetic stimulation (rTMS) triggers dose-dependent homeostatic rewiring in recurrent neuronal networks.PLoS computational biology · 2023Article
- STDP-Driven Rewiring in Spiking Neural Networks under Stimulus-Induced and Spontaneous Activity.Biomimetics (Basel, Switzerland) · 2023Article
- Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST.Frontiers in neuroinformatics · 2023Article
- Dendritic Spines: Synaptogenesis and Synaptic Pruning for the Developmental Organization of Brain Circuits.Advances in neurobiology · 2023Article
- Arc-driven mGRASP highlights CA1 to CA3 synaptic engrams.Frontiers in behavioral neuroscience · 2022Article
- Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.PLoS computational biology · 2021Article
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3 authors.
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Abstract
Brain networks store new memories using functional and structural synaptic plasticity. Memory formation is generally attributed to Hebbian plasticity, while homeostatic plasticity is thought to have an ancillary role in stabilizing network dynamics. Here we report that homeostatic plasticity alone can also lead to the formation of stable memories. We analyze this phenomenon using a new theory of network remodeling, combined with numerical simulations of recurrent spiking neural networks that exhibit structural plasticity based on firing rate homeostasis. These networks are able to store repeatedly presented patterns and recall them upon the presentation of incomplete cues. Storage is fast, governed by the homeostatic drift. In contrast, forgetting is slow, driven by a diffusion process. Joint stimulation of neurons induces the growth of associative connections between them, leading to the formation of memory engrams. These memories are stored in a distributed fashion throughout connectivity matrix, and individual synaptic connections have only a small influence. Although memory-specific connections are increased in number, the total number of inputs and outputs of neurons undergo only small changes during stimulation. We find that homeostatic structural plasticity induces a specific type of "silent memories", different from conventional attractor states.
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