ArticleeLife2019
Fast and flexible sequence induction in spiking neural networks via rapid excitability changes.
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The Role of Plasticity in Replay: Stability Through Anti-Hebbian Rules.Hippocampus · 2026Article
- Neural circuit models for evidence accumulation through choice-selective sequences.Nature communications · 2026Article
- Learning neural dynamics through instructive signals.bioRxiv : the preprint server for biology · 2025Article
- A non-Hebbian code for episodic memory.Science advances · 2025Article
- The backpropagation algorithm implemented on spiking neuromorphic hardware.Nature communications · 2024Article
- Intrinsic dynamics of randomly clustered networks generate place fields and preplay of novel environments.eLife · 2024Article
- Intrinsic dynamics of randomly clustered networks generate place fields and preplay of novel environments.bioRxiv : the preprint server for biology · 2024Article
- Conditioning and pseudoconditioning differently change intrinsic excitability of inhibitory interneurons in the neocortex.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Memory-inspired spiking hyperdimensional network for robust online learning.Scientific reports · 2022Article
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Authors and funding
2 authors.
Funding
Abstract
Cognitive flexibility likely depends on modulation of the dynamics underlying how biological neural networks process information. While dynamics can be reshaped by gradually modifying connectivity, less is known about mechanisms operating on faster timescales. A compelling entrypoint to this problem is the observation that exploratory behaviors can rapidly cause selective hippocampal sequences to 'replay' during rest. Using a spiking network model, we asked whether simplified replay could arise from three biological components: fixed recurrent connectivity; stochastic 'gating' inputs; and rapid gating input scaling via long-term potentiation of intrinsic excitability (LTP-IE). Indeed, these enabled both forward and reverse replay of recent sensorimotor-evoked sequences, despite unchanged recurrent weights. LTP-IE 'tags' specific neurons with increased spiking probability under gating input, and ordering is reconstructed from recurrent connectivity. We further show how LTP-IE can implement temporary stimulus-response mappings. This elucidates a novel combination of mechanisms that might play a role in rapid cognitive flexibility.
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Registered trials
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.