ArticleCell reports2024
Simple synaptic modulations implement diverse novelty computations.
Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Visual learning at fast and slow timescales is driven by distinct plasticity rules in primate inferotemporal cortex.Nature communications · 2026Article
- Experience shapes the transformation of olfactory representations along the cortico-hippocampal pathway.eLife · 2026Article
- Orbitofrontal cortex drives predictive filtering of sensory responses.Nature neuroscience · 2026Article
- Map of spiking activity underlying change detection in the mouse visual system.bioRxiv : the preprint server for biology · 2025Article
- Manifold transform by recurrent cortical circuit enhances robust encoding of familiar stimuli.PLoS computational biology · 2025Article
- A non-Hebbian code for episodic memory.Science advances · 2025Article
- Structured flexibility in recurrent neural networks via neuromodulation.Advances in neural information processing systems · 2024Article
- Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics.Cell reports · 2024Article
- Structured flexibility in recurrent neural networks via neuromodulation.bioRxiv : the preprint server for biology · 2024Article
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5 authors.
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Abstract
Detecting novelty is ethologically useful for an organism's survival. Recent experiments characterize how different types of novelty over timescales from seconds to weeks are reflected in the activity of excitatory and inhibitory neuron types. Here, we introduce a learning mechanism, familiarity-modulated synapses (FMSs), consisting of multiplicative modulations dependent on presynaptic or pre/postsynaptic neuron activity. With FMSs, network responses that encode novelty emerge under unsupervised continual learning and minimal connectivity constraints. Implementing FMSs within an experimentally constrained model of a visual cortical circuit, we demonstrate the generalizability of FMSs by simultaneously fitting absolute, contextual, and omission novelty effects. Our model also reproduces functional diversity within cell subpopulations, leading to experimentally testable predictions about connectivity and synaptic dynamics that can produce both population-level novelty responses and heterogeneous individual neuron signals. Altogether, our findings demonstrate how simple plasticity mechanisms within a cortical circuit structure can produce qualitatively distinct and complex novelty responses.
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