ReviewFrontiers in neural circuits2018
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules.
Review in Frontiers in neural circuits, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.
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136 citing papers in PubMed.
- Instructive signals drive learning through behavioral timescale synaptic plasticity in the hippocampus and beyond.Current research in neurobiology · 2026Article
- Neuromodulatory Gating of Synaptic Plasticity: Mechanisms, Motivation, and Clinical Dysfunction Across Scales.Synapse (New York, N.Y.) · 2026Review
- Irregular and bursty neuronal firing extend spike-timing dependent plasticity window to behavioral timescales.iScience · 2026Article
- Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces.npj biomedical innovations · 2026Review
- N-Methyl-D-Aspartate receptors controlbioRxiv : the preprint server for biology · 2026Article
- Cell-Type-Specific Synaptic Scaling Mechanisms Differentially Contribute to Associative Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Remembering the "when": Hebbian memory models for the time of past events.PLoS computational biology · 2026Article
- Two-factor synaptic plasticity enables memory consolidation during neuronal burst firing.PNAS nexus · 2026Article
- Striatal dopamine signals internal states related to behavioral performance over prolonged timescales in monkeys.bioRxiv : the preprint server for biology · 2026Article
- Energy-efficient information processing and eligibility-trace plasticity in the Drosophila optic lobe connectome.Scientific reports · 2026Article
- Vagus Nerve Stimulation for Neuromodulation: Evolution from Bench to Bedside.Neurology international · 2026Article
- Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.Biological cybernetics · 2026Article
- Signal-Dependent Planning Noise Reduces Task Interference by Assisting in the Formation of Stable Motor Primitives in a Neural Network Model of Muscle Coordination Learning.Neural computation · 2026Article
- Janus Synapses as Modular Neurointerfaces.ACS applied materials & interfaces · 2026Review
- Cellular and subcellular specialization enables biology-constrained deep learning.Cell reports · 2026Article
- Global error signal guides local optimization in mismatch calculation.Nature communications · 2026Article
- Burst firing creates an attractor in synaptic weight dynamics.PLoS computational biology · 2026Article
- Brain-inspired synaptic transistors for in-situ spiking reinforcement learning with eligibility trace.Nature communications · 2026Article
- NeoHebbian synapses to accelerate online training of neuromorphic hardware.Scientific reports · 2026Article
- From Spontaneous Ignitions to Sensorimotor Cell Assemblies via Dopamine: A Spiking Neurocomputational Model of Infants' Hand Action Acquisition.Brain sciences · 2026Article
76 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
Most elementary behaviors such as moving the arm to grasp an object or walking into the next room to explore a museum evolve on the time scale of seconds; in contrast, neuronal action potentials occur on the time scale of a few milliseconds. Learning rules of the brain must therefore bridge the gap between these two different time scales. Modern theories of synaptic plasticity have postulated that the co-activation of pre- and postsynaptic neurons sets a flag at the synapse, called an eligibility trace, that leads to a weight change only if an additional factor is present while the flag is set. This third factor, signaling reward, punishment, surprise, or novelty, could be implemented by the phasic activity of neuromodulators or specific neuronal inputs signaling special events. While the theoretical framework has been developed over the last decades, experimental evidence in support of eligibility traces on the time scale of seconds has been collected only during the last few years. Here we review, in the context of three-factor rules of synaptic plasticity, four key experiments that support the role of synaptic eligibility traces in combination with a third factor as a biological implementation of neoHebbian three-factor learning rules.
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