ArticleNeuron2022
Meta-learning synaptic plasticity and memory addressing for continual familiarity detection.
Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Synaptic-state-dependent plasticity routes learning signals in recurrent circuits.bioRxiv : the preprint server for biology · 2026Article
- Sharpened Visual Memory Representations Are Reflected in Inferotemporal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Continual familiarity decoding from recurrent connections in spiking networks.PLoS computational biology · 2025Article
- Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy.Neural computation · 2025Article
- Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks.PLoS computational biology · 2025Article
- Neuroevolution insights into biological neural computation.Science (New York, N.Y.) · 2025Article
- Flexible inference for animal learning rules using neural networks.Advances in neural information processing systems · 2025Article
- Discovering plasticity rules that organize and maintain neural circuits.bioRxiv : the preprint server for biology · 2024Article
- Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks.Nature communications · 2024Article
- Emergence and reconfiguration of modular structure for artificial neural networks during continual familiarity detection.Science advances · 2024Article
- Simple synaptic modulations implement diverse novelty computations.Cell reports · 2024Article
- Transition to chaos separates learning regimes and relates to measure of consciousness in recurrent neural networks.bioRxiv : the preprint server for biology · 2024Article
- Simple synaptic modulations implement diverse novelty computations.bioRxiv : the preprint server for biology · 2024Article
- Specific connectivity optimizes learning in thalamocortical loops.Cell reports · 2024Article
- Synchronization in fractional-order neural networks by the energy balance strategy.Cognitive neurodynamics · 2024Article
- Curiosity: primate neural circuits for novelty and information seeking.Nature reviews. Neuroscience · 2024Review
- Model-based inference of synaptic plasticity rules.Advances in neural information processing systems · 2024Article
- Neural learning rules for generating flexible predictions and computing the successor representation.eLife · 2023Article
- Article
- Face familiarity detection with complex synapses.iScience · 2023Article
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3 authors.
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Abstract
Over the course of a lifetime, we process a continual stream of information. Extracted from this stream, memories must be efficiently encoded and stored in an addressable manner for retrieval. To explore potential mechanisms, we consider a familiarity detection task in which a subject reports whether an image has been previously encountered. We design a feedforward network endowed with synaptic plasticity and an addressing matrix, meta-learned to optimize familiarity detection over long intervals. We find that anti-Hebbian plasticity leads to better performance than Hebbian plasticity and replicates experimental results such as repetition suppression. A combinatorial addressing function emerges, selecting a unique neuron as an index into the synaptic memory matrix for storage or retrieval. Unlike previous models, this network operates continuously and generalizes to intervals it has not been trained on. Our work suggests a biologically plausible mechanism for continual learning and demonstrates an effective application of machine learning for neuroscience discovery.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.