ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
Hebbian plasticity requires compensatory processes on multiple timescales.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
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93 citing papers in PubMed.
- A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity.PLoS computational biology · 2026Article
- Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026Article
- Global error signal guides local optimization in mismatch calculation.Nature communications · 2026Article
- Brain-inspired energy efficient technologies for next-generation artificial intelligence.Biological cybernetics · 2026Review
- Plastic Arbor: A modern simulation framework for synaptic plasticity-From single synapses to networks of morphological neurons.PLoS computational biology · 2026Article
- A caveat regarding the unfolding argument: implications of plasticity.Neuroscience of consciousness · 2026Article
- Metastability induced by non-reciprocal adaptive couplings in Kuramoto models.Frontiers in network physiology · 2026Article
- Article
- Behavioral Timescale Synaptic Plasticity: A Burst in the Field of Learning and Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- β-Adrenergic Receptor Activation Modulates the Induction of Complex Spike-Dependent LTP by Regulating Multiple Forms of Heterosynaptic Plasticity.Hippocampus · 2025Article
- Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex.PLoS computational biology · 2025Article
- Neural cell competition sculpting brain from cradle to grave.National science review · 2025Review
- Experience-dependent reorganization of inhibitory neuron synaptic connectivity.bioRxiv : the preprint server for biology · 2025Article
- Exercise therapy facilitates neural remodeling and functional recovery post-spinal cord injury via PKA/CREB signaling pathway modulation in rats.Burns & trauma · 2025Article
- Firing rate distributions in plastic networks of spiking neurons.Network neuroscience (Cambridge, Mass.) · 2025Article
- Homeostatic synaptic normalization optimizes learning in network models of neural population codes.eLife · 2024Article
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.bioRxiv : the preprint server for biology · 2024Article
- Synaptic homeostasis transiently leverages Hebbian mechanisms for a multiphasic response to inactivity.Cell reports · 2024Article
- The Use of Transcranial Magnetic Stimulation in Attention Optimization Research: A Review from Basic Theory to Findings in Attention-Deficit/Hyperactivity Disorder and Depression.Life (Basel, Switzerland) · 2024Review
- Learning what matters: Synaptic plasticity with invariance to second-order input correlations.PLoS computational biology · 2024Article
33 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
We review a body of theoretical and experimental research on Hebbian and homeostatic plasticity, starting from a puzzling observation: while homeostasis of synapses found in experiments is a slow compensatory process, most mathematical models of synaptic plasticity use rapid compensatory processes (RCPs). Even worse, with the slow homeostatic plasticity reported in experiments, simulations of existing plasticity models cannot maintain network stability unless further control mechanisms are implemented. To solve this paradox, we suggest that in addition to slow forms of homeostatic plasticity there are RCPs which stabilize synaptic plasticity on short timescales. These rapid processes may include heterosynaptic depression triggered by episodes of high postsynaptic firing rate. While slower forms of homeostatic plasticity are not sufficient to stabilize Hebbian plasticity, they are important for fine-tuning neural circuits. Taken together we suggest that learning and memory rely on an intricate interplay of diverse plasticity mechanisms on different timescales which jointly ensure stability and plasticity of neural circuits.This article is part of the themed issue 'Integrating Hebbian and homeostatic plasticity'.
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